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Choosing a model for your project isn't always easy, so our benchmark evaluates LLMs against actual Android development problems. Current top scores on Android Bench: 🔹 Gemini 3.1 Pro Preview 🔹 Claude 4.6 🔹 GPT 5.2 Codex Full leaderboard →

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10,156 görüntüleme • 4 ay önce •via X (Twitter)

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🌟 A New Dawn for Illuvium: Overworld 🌟 Rangers, it’s time to look ahead as Co-Founder & CEO Kieran.eth shares Illuvium’s next chapter in his latest blog update. From refining our gameplay experiences to transforming Overworld into an immersive MMO Lite, here’s what’s in store: 🔹 Arena Evolution: Pushing Arena to top-tier auto-battler status by mid-2025 with quality-of-life improvements and enhanced competitive systems. 🔹 Player-Centric Monetisation: A fairer economy with fewer microtransactions and more free core content. 🔹 Overworld as an MMO Lite: Imagine creature-capturing gameplay fused with classic MMO elements—raids, guild progression, player-driven markets, and more. We’re building on existing foundations to craft an accessible yet profoundly engaging multiplayer experience. 🔹 Community-Driven Decisions: Your feedback will shape Overworld’s future, with discussions open on how to handle its current state during development. 🗺️ This isn’t just a pivot; it’s a promise to deliver a streamlined, immersive, and rewarding experience for millions of players. Together, we’ll make Illuvium the pioneering ecosystem it’s destined to be. #Illuvium
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🌟 A New Dawn for Illuvium: Overworld 🌟 Rangers, it’s time to look ahead as Co-Founder & CEO Kieran.eth shares Illuvium’s next chapter in his latest blog update. From refining our gameplay experiences to transforming Overworld into an immersive MMO Lite, here’s what’s in store: 🔹 Arena Evolution: Pushing Arena to top-tier auto-battler status by mid-2025 with quality-of-life improvements and enhanced competitive systems. 🔹 Player-Centric Monetisation: A fairer economy with fewer microtransactions and more free core content. 🔹 Overworld as an MMO Lite: Imagine creature-capturing gameplay fused with classic MMO elements—raids, guild progression, player-driven markets, and more. We’re building on existing foundations to craft an accessible yet profoundly engaging multiplayer experience. 🔹 Community-Driven Decisions: Your feedback will shape Overworld’s future, with discussions open on how to handle its current state during development. 🗺️ This isn’t just a pivot; it’s a promise to deliver a streamlined, immersive, and rewarding experience for millions of players. Together, we’ll make Illuvium the pioneering ecosystem it’s destined to be. #Illuvium

Illuvium

96,420 görüntüleme • 1 yıl önce

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 🪨 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 🪨:
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BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 🪨 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 🪨:

Dan Shipper 📧

354,351 görüntüleme • 2 ay önce

One thing I think AI developers underestimate: Your model isn't always your biggest risk. Your infrastructure is. A lot of AI apps work great in development… Until the provider you're relying on has an outage, rate limits your requests, or a model suddenly becomes unavailable. If your entire product depends on one AI provider, you've created a single point of failure. That's why I like the approach CometAPI is taking. Instead of locking your app to one vendor, it gives you access to 500+ AI models through a single OpenAI-compatible endpoint. That means you can: → switch models without rewriting your integration → build fallback routes for better reliability → compare models as new ones launch → avoid getting locked into a single provider For teams building with Claude Code, Cursor, AI agents, SaaS products, or automation tools, that flexibility matters a lot once you're in production. They're also shipping new models quickly. Recent additions include: • GPT-5.6 • Happy Horse 1.1 • Kling Video Plus recently released: • Gemini 3.1 Flash Lite Image • Claude Sonnet 5 Worth checking out if you're building AI products that need to stay reliable as the ecosystem moves fast. Try it here: #AI #LLM #Developers #OpenAI #Claude #Cursor #ClaudeCode #BuildInPublic
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One thing I think AI developers underestimate: Your model isn't always your biggest risk. Your infrastructure is. A lot of AI apps work great in development… Until the provider you're relying on has an outage, rate limits your requests, or a model suddenly becomes unavailable. If your entire product depends on one AI provider, you've created a single point of failure. That's why I like the approach CometAPI is taking. Instead of locking your app to one vendor, it gives you access to 500+ AI models through a single OpenAI-compatible endpoint. That means you can: → switch models without rewriting your integration → build fallback routes for better reliability → compare models as new ones launch → avoid getting locked into a single provider For teams building with Claude Code, Cursor, AI agents, SaaS products, or automation tools, that flexibility matters a lot once you're in production. They're also shipping new models quickly. Recent additions include: • GPT-5.6 • Happy Horse 1.1 • Kling Video Plus recently released: • Gemini 3.1 Flash Lite Image • Claude Sonnet 5 Worth checking out if you're building AI products that need to stay reliable as the ecosystem moves fast. Try it here: #AI #LLM #Developers #OpenAI #Claude #Cursor #ClaudeCode #BuildInPublic

Shruti Codes

56,822 görüntüleme • 1 ay önce

Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.
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Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Avi Chawla

44,124 görüntüleme • 1 ay önce

introducing a new, very fun, LLM benchmark- the Game-of-Life Bench! the rules are simple: given an 8x8 grid following Conway's game of life rules, the goal is to create an initial pattern with at most 32 cells that can last the longest number of turns before dying/repeating. some results to highlight (with caveats detailed below): - gpt 5.1 lasts the longest with a 106 step run - claude models are really bad at this! they refuse to reason about this task and score < 25 points - deepseek r1 is the best open model with 102 steps. why? because i wanted to create a benchmark that has (i think) no practicality, but is still fun to look at, cheap, and still measures something interesting. i also am a big fan of the game of life. its absurdly simple rules leading to intractability is extremely cool to me. also, i saw a lot of work with LLMs trying to "predict" the next state in Conway's game of life, I think game-of-life bench is more fun because it's pretty open ended and only asks the LLM for the initial state. I also think this could be an RL env? but idk why you would ever train on this task haha i don't think this is a "serious" benchmark because it doesnt measure anything practical, but i still think it's a hard benchmark exactly because you can't predict what happens with your initial state many turns into the future; this is why i was initially expecting all LLMs to be bad at it, but turns out, some are clearly better than the others (the ordering may surprise you!) reminder: this is still a work-in-progress; (1) i am gpu-poor so could only do 10 runs for each model, even though total running cost is relatively low. maybe with some more credits i can run more seeds for each model. (2) i handpicked models which i think are at the frontier right now, plus some others that were on my mind. so, if you'd like to see a model on here, let me know. (3) i currently only do an 8x8 grid because i thought that by itself would be pretty hard for current LLMs, but of course we can increase grid sizes! (4) the coolest thing is, i dont think we can calculate the max possible number of states (yay undecidability!) you can go without repeating, so this is essentially a no-ceiling task, which is pretty cool! again, i did this mostly out of a desire to make LLMs do something fun. if this keeps me entertained for a few more days, i'd likely release a blog post on it. if it keeps me entertained for a week (and someone sponsors me), i'll put more work into it :P lastly, this is fully open sourced, so feel free to run this on your own!
0:19

introducing a new, very fun, LLM benchmark- the Game-of-Life Bench! the rules are simple: given an 8x8 grid following Conway's game of life rules, the goal is to create an initial pattern with at most 32 cells that can last the longest number of turns before dying/repeating. some results to highlight (with caveats detailed below): - gpt 5.1 lasts the longest with a 106 step run - claude models are really bad at this! they refuse to reason about this task and score < 25 points - deepseek r1 is the best open model with 102 steps. why? because i wanted to create a benchmark that has (i think) no practicality, but is still fun to look at, cheap, and still measures something interesting. i also am a big fan of the game of life. its absurdly simple rules leading to intractability is extremely cool to me. also, i saw a lot of work with LLMs trying to "predict" the next state in Conway's game of life, I think game-of-life bench is more fun because it's pretty open ended and only asks the LLM for the initial state. I also think this could be an RL env? but idk why you would ever train on this task haha i don't think this is a "serious" benchmark because it doesnt measure anything practical, but i still think it's a hard benchmark exactly because you can't predict what happens with your initial state many turns into the future; this is why i was initially expecting all LLMs to be bad at it, but turns out, some are clearly better than the others (the ordering may surprise you!) reminder: this is still a work-in-progress; (1) i am gpu-poor so could only do 10 runs for each model, even though total running cost is relatively low. maybe with some more credits i can run more seeds for each model. (2) i handpicked models which i think are at the frontier right now, plus some others that were on my mind. so, if you'd like to see a model on here, let me know. (3) i currently only do an 8x8 grid because i thought that by itself would be pretty hard for current LLMs, but of course we can increase grid sizes! (4) the coolest thing is, i dont think we can calculate the max possible number of states (yay undecidability!) you can go without repeating, so this is essentially a no-ceiling task, which is pretty cool! again, i did this mostly out of a desire to make LLMs do something fun. if this keeps me entertained for a few more days, i'd likely release a blog post on it. if it keeps me entertained for a week (and someone sponsors me), i'll put more work into it :P lastly, this is fully open sourced, so feel free to run this on your own!

Akshit

13,775 görüntüleme • 5 ay önce

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.
0:16

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.

雪踏乌云

23,107 görüntüleme • 26 gün önce

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5
0:10

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5

YanXbt

16,744 görüntüleme • 27 gün önce

We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:
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We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:

Sakana AI

360,273 görüntüleme • 11 ay önce

Does LLM really need to be a helpful assistant all the time? No. If you want to simulate people, “perfectly helpful” could be the wrong objective. Meet OdysSim, a journey toward LLMs beyond assistants, as behavioral foundation models (10B tokens of real human behavior; 23 sim benchmarks, finally in one place. new open models: outperform or on par with GPT-5.5, Gemini 3.1, or Claude Opus 4.7 in many behavior-sim dimensions). Human behavior simulation is becoming essential. Agent evaluation needs realistic users before real users show up. Medical and classroom training need realistic patients and students. Social science needs synthetic participants at scale. But real people are not ideal assistants. Real patients panic or ignore good advice. Real students misunderstand. Real customers are vague, picky, impatient, or simply leave. Human behavior is messy, diverse, and often imperfect. Frontier LLMs are getting better at math, code, and long-horizon tasks. They are NOT getting better at simulating human behavior. If anything, they drift the other way: more assistant-ish, more homogeneous, fewer of the errors and quirks real humans show. This is no accident. The whole pipeline is built for helpfulness and task success, not behavioral realism. And you can't prompt your way out of that. So we rethink the recipe from scratch and release: 🧠 The OdysSim corpus: 21.4M real human interactions (~10B tokens) from 62 sources, every conversation retrofitted with social grounding (who is talking, and why) 📏 SOUL-Index: 23 human-behavior benchmarks unified into one suite across 5 axes 🤖 OSim-8B: open weights; tops more SOUL-Index benchmarks than any frontier model, acts more like a real user than any of them on τ-bench (nearly matching real humans in the reaction dimension), and writes far more human-like text along the way.
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Does LLM really need to be a helpful assistant all the time? No. If you want to simulate people, “perfectly helpful” could be the wrong objective. Meet OdysSim, a journey toward LLMs beyond assistants, as behavioral foundation models (10B tokens of real human behavior; 23 sim benchmarks, finally in one place. new open models: outperform or on par with GPT-5.5, Gemini 3.1, or Claude Opus 4.7 in many behavior-sim dimensions). Human behavior simulation is becoming essential. Agent evaluation needs realistic users before real users show up. Medical and classroom training need realistic patients and students. Social science needs synthetic participants at scale. But real people are not ideal assistants. Real patients panic or ignore good advice. Real students misunderstand. Real customers are vague, picky, impatient, or simply leave. Human behavior is messy, diverse, and often imperfect. Frontier LLMs are getting better at math, code, and long-horizon tasks. They are NOT getting better at simulating human behavior. If anything, they drift the other way: more assistant-ish, more homogeneous, fewer of the errors and quirks real humans show. This is no accident. The whole pipeline is built for helpfulness and task success, not behavioral realism. And you can't prompt your way out of that. So we rethink the recipe from scratch and release: 🧠 The OdysSim corpus: 21.4M real human interactions (~10B tokens) from 62 sources, every conversation retrofitted with social grounding (who is talking, and why) 📏 SOUL-Index: 23 human-behavior benchmarks unified into one suite across 5 axes 🤖 OSim-8B: open weights; tops more SOUL-Index benchmarks than any frontier model, acts more like a real user than any of them on τ-bench (nearly matching real humans in the reaction dimension), and writes far more human-like text along the way.

Xuhui Zhou

141,893 görüntüleme • 2 ay önce

When your pain, fear or resentment is consuming you, no one else can pull you out of the dark, because you ARE the dark. Your mindset. Your thoughts. YOU CONTROL where you work & live, who you live with, what you eat & drink, what time you sleep, how you think, how you feel, how you spend your energy & what you do with your spare time. YOU! These things may feel out of your control but they're not. They're all things we can change if we're unhappy but our MINDSET has us convinced we can't, by playing on our fears of the unknown & our own weaknesses. 'What if I can't find other work?' 'What if I don't find anyone else?' 'I don't have time to cook!' 'I don't have time to workout!' 'I have nothing to feel happy about' 'I can't sleep!' Your life will not change, unless YOU do! You need to change your mindset! No one can do it for you. You can CHOOSE to see silver linings OR just the possibility of rain. You can CHOOSE your HARD... - Struggle through a workout vs struggle to look at yourself & how unhealthy you've become - Struggle to learn a new skill vs struggle in a job you hate. Trying to see beyond your unhappiness, 'bad luck' & bad choices is confronting & can feel impossible...BUT it isn't!! It's possible! Not over night but gradually...taking ONE DAY AT A TIME! Be kind to yourself! Changing your mindset & working on overhauling years of negative thought processes is far from easy but in doing so, you'll reclaim your POWER & take back control of your own happiness. Choosing to go out into the sunshine to drink a cuppa (instead of staying cooped up indoors) won't make your problems disappear...BUT it gives you a few seconds of CALM to REFOCUS your thoughts & a dose of Vitamin D & fresh air, while feeling the warmth of the sun on your skin. In making that choice, you reinforce your self-worth: you deserve time for yourself & you deserve to feel good. It's a simple choice that can completely change how you feel for the better, even if just for a moment. In time, your days can become full of those moments & you'll no longer need to look for the light in the dark. You will BE the light! The beacon of your own happiness ❤️🫂 #mindset
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When your pain, fear or resentment is consuming you, no one else can pull you out of the dark, because you ARE the dark. Your mindset. Your thoughts. YOU CONTROL where you work & live, who you live with, what you eat & drink, what time you sleep, how you think, how you feel, how you spend your energy & what you do with your spare time. YOU! These things may feel out of your control but they're not. They're all things we can change if we're unhappy but our MINDSET has us convinced we can't, by playing on our fears of the unknown & our own weaknesses. 'What if I can't find other work?' 'What if I don't find anyone else?' 'I don't have time to cook!' 'I don't have time to workout!' 'I have nothing to feel happy about' 'I can't sleep!' Your life will not change, unless YOU do! You need to change your mindset! No one can do it for you. You can CHOOSE to see silver linings OR just the possibility of rain. You can CHOOSE your HARD... - Struggle through a workout vs struggle to look at yourself & how unhealthy you've become - Struggle to learn a new skill vs struggle in a job you hate. Trying to see beyond your unhappiness, 'bad luck' & bad choices is confronting & can feel impossible...BUT it isn't!! It's possible! Not over night but gradually...taking ONE DAY AT A TIME! Be kind to yourself! Changing your mindset & working on overhauling years of negative thought processes is far from easy but in doing so, you'll reclaim your POWER & take back control of your own happiness. Choosing to go out into the sunshine to drink a cuppa (instead of staying cooped up indoors) won't make your problems disappear...BUT it gives you a few seconds of CALM to REFOCUS your thoughts & a dose of Vitamin D & fresh air, while feeling the warmth of the sun on your skin. In making that choice, you reinforce your self-worth: you deserve time for yourself & you deserve to feel good. It's a simple choice that can completely change how you feel for the better, even if just for a moment. In time, your days can become full of those moments & you'll no longer need to look for the light in the dark. You will BE the light! The beacon of your own happiness ❤️🫂 #mindset

Jess Tungsten

314,526 görüntüleme • 2 yıl önce

Introducing ml-intern, the agent that just automated the post-training team Hugging Face It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: Web + mobile: And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.
0:16

Introducing ml-intern, the agent that just automated the post-training team Hugging Face It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: Web + mobile: And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.

Aksel

1,266,405 görüntüleme • 4 ay önce

over the weekend, i built an app that i sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:
0:14

over the weekend, i built an app that i sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:

Siqi Chen

209,022 görüntüleme • 6 ay önce

Qwen 3.8 27B Q4_K_M - 90 tokens/sec on a single NVIDIA RTX 4090 (24 GB VRAM) with Dflash2! (MTP 60 tps -> 90 tps Dflash2!!!!) Local AI moves so fast (literally!) it’s terrifying. Z lab just dropped DFlash 2 for Qwen 3.8 27b and Muse Glimmer. I patched llama.cpp (PR #27342) and paired it with Unsloth’s Qwen 3.8 27B UD-Q4_K_XL quant. The result? Lossless 90 tokens/s decode. My last post highlighted native MTP hitting 60 t/s at 130,000 context. But DFlash 2 just completely shattered that ceiling. By using parallel block diffusion drafting (predicting whole blocks of tokens in a single pass using dynamic convolutions), DFlash achieves a massive 5.39 token acceptance rate. THE ALPHA TWEAK: `n-max 7` eats too much VRAM for draft states. But if you drop the draft limit to `--spec-draft-n-max 4`, you slash the VRAM overhead and actually increase the throughput. Here is the new 24GB VRAM Physics Matrix (DFlash 2 @ n-max 4): - 30k Context: 1,725 t/s prefill | 87.05 t/s decode | 22.2 GB VRAM - 80k Context: 1,789 t/s prefill | 84.20 t/s decode | 23.3 GB VRAM - 110k Context: 1,767 t/s prefill | 83.35 t/s decode | 23.96 GB VRAM (110k context at 83+ tokens a second sitting exactly on the 24GB hardware limit is absolute wizardry). How to compile the PR today: git clone cd llama.cpp git fetch origin pull/27342/head:pr-27342 git switch pr-27342 cmake -B build -DGGML_CUDA=ON && cmake --build build -j Llama.cpp flags for Dflash (110k Context Ceiling): ./build/bin/llama-server -m Qwen3.8-27B-UD-Q4_K_XL.gguf -md Qwen3.8-27B-DFlash2-Q4_K_M.gguf --spec-type draft-dflash --spec-draft-n-max 4 -c 110000 -ngl 99 --port 8080 -ctv q4_0 -ctk q4_0 The fact that the open source community is shipping block diffusion drafters so quickly that run entirely locally on a gaming GPU is unbelievable. If you own a single RTX 3090 or 4090, it is officially time to upgrade to qwen 3.8 27b with dflash 2 and cancel your API subscriptions and let local silicon eat the cloud. This model beats GPT 5.6 Terra, GLM 5.2 DeepSeek V4 Pro, Muse Spark 1.2 and Claude Opus 4.8 on the artificial analysis agentic index (details in the replies) Hugging Face GGUF links (Base + DFlash2) and the full visual VRAM scaling and Dflash2 vs MTP graphs are also in the replies below. are you sticking to native MTP for the 130k context, or sacrificing 20k context to redline your decode speed? How many tokens/sec are you pushing on your current local rig?
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Qwen 3.8 27B Q4_K_M - 90 tokens/sec on a single NVIDIA RTX 4090 (24 GB VRAM) with Dflash2! (MTP 60 tps -> 90 tps Dflash2!!!!) Local AI moves so fast (literally!) it’s terrifying. Z lab just dropped DFlash 2 for Qwen 3.8 27b and Muse Glimmer. I patched llama.cpp (PR #27342) and paired it with Unsloth’s Qwen 3.8 27B UD-Q4_K_XL quant. The result? Lossless 90 tokens/s decode. My last post highlighted native MTP hitting 60 t/s at 130,000 context. But DFlash 2 just completely shattered that ceiling. By using parallel block diffusion drafting (predicting whole blocks of tokens in a single pass using dynamic convolutions), DFlash achieves a massive 5.39 token acceptance rate. THE ALPHA TWEAK: `n-max 7` eats too much VRAM for draft states. But if you drop the draft limit to `--spec-draft-n-max 4`, you slash the VRAM overhead and actually increase the throughput. Here is the new 24GB VRAM Physics Matrix (DFlash 2 @ n-max 4): - 30k Context: 1,725 t/s prefill | 87.05 t/s decode | 22.2 GB VRAM - 80k Context: 1,789 t/s prefill | 84.20 t/s decode | 23.3 GB VRAM - 110k Context: 1,767 t/s prefill | 83.35 t/s decode | 23.96 GB VRAM (110k context at 83+ tokens a second sitting exactly on the 24GB hardware limit is absolute wizardry). How to compile the PR today: git clone cd llama.cpp git fetch origin pull/27342/head:pr-27342 git switch pr-27342 cmake -B build -DGGML_CUDA=ON && cmake --build build -j Llama.cpp flags for Dflash (110k Context Ceiling): ./build/bin/llama-server -m Qwen3.8-27B-UD-Q4_K_XL.gguf -md Qwen3.8-27B-DFlash2-Q4_K_M.gguf --spec-type draft-dflash --spec-draft-n-max 4 -c 110000 -ngl 99 --port 8080 -ctv q4_0 -ctk q4_0 The fact that the open source community is shipping block diffusion drafters so quickly that run entirely locally on a gaming GPU is unbelievable. If you own a single RTX 3090 or 4090, it is officially time to upgrade to qwen 3.8 27b with dflash 2 and cancel your API subscriptions and let local silicon eat the cloud. This model beats GPT 5.6 Terra, GLM 5.2 DeepSeek V4 Pro, Muse Spark 1.2 and Claude Opus 4.8 on the artificial analysis agentic index (details in the replies) Hugging Face GGUF links (Base + DFlash2) and the full visual VRAM scaling and Dflash2 vs MTP graphs are also in the replies below. are you sticking to native MTP for the 130k context, or sacrificing 20k context to redline your decode speed? How many tokens/sec are you pushing on your current local rig?

Alok

97,522 görüntüleme • 2 gün önce

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.
0:11

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.

Hatom Labs

203,486 görüntüleme • 2 yıl önce

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC
0:15

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC

1DC

14,875 görüntüleme • 3 ay önce

A QUICK FIELD GUIDE TO THE NPC HORDES Twenty Five Parasites types that Feed On The Living The Storm Is Upon Them Thank you for the stout... lets talk... The wind has changed. You can feel it. That low electric pressure behind the eyes that means something massive is rolling in off a horizon the parasites can't see because they were never built to look up. They were built to look down. At clipboards. At spreadsheets. At your accounts. At you. But the storm doesn't care about clipboards. And we don't kneel anymore. Here they are. The full swarm. Count them while you can because when the sky turns they drop mid sentence and the only record that they ever existed will be the silence where the invoices used to be. THE TAX CONSULTANT. You broke your back welding pipe and this soft palmed worm sits in air conditioning telling you how much of your sweat belongs to Caesar. He can't weld. Can't wire. Can't fix a thing that broke. What he can do is read a tax code written by other worms specifically to be unreadable so you'd have to pay a worm to read it for you. They write the maze. They sell you the map. They make the maze worse every year and the map more expensive and if you try to walk it yourself they send the auditor. The wind is picking up. The maze is starting to shake. THE AUDITOR. Tick on a tick. Shows up after the taxman has already fed to check the bite marks are regulation depth. Finds a missing fuel slip worth pocket change. Writes a finding. The finding generates a penalty. The penalty generates interest. The interest generates a letter. The letter requires your tax consultant at hourly rates to respond. Pocket change became thousands. Five parasites ate off one tank of diesel. Not one of them could tell you what welding rod to use on stainless. But the storm doesn't audit. The storm just comes. THE ACCOUNTANT. Cousin of the tax consultant. Same bloodline. This one doesn't interpret the maze. He records your journey through it. Every receipt. Every unit of currency in and out, logged so the consultant can read it and the auditor can check it and the revenue service can extract from it. He produces nothing. A human tape recorder pointed at your productivity. He charges monthly so the recording never stops. You are under permanent surveillance and you pay for the privilege. Not for much longer. THE BANKER. The oldest parasite. The template. You need money to buy a machine that makes things. He lends you money other working people deposited and charges interest that doubles the price over twenty years. The extra bought nothing. Built nothing. He packages your debt and sells it. Takes your deposit and lends it out eight times over. Charges you to hold your own money. Charges to put it in. Charges to take it out. He touches none of it. He stands near it and invoices you for the proximity. The storm is going to blow him so far from the vault he'll forget what money smelled like. THE COMPLIANCE OFFICER. Never had a callus on her body or her soul. Born in a fluorescent office. Will die in one. Between those events she produces nothing but emails about policies referencing other policies referencing regulations referencing acts nobody voted for. A worm eating its own tail and billing you for the meal. She needs the safety assessor to give her something to enforce. He needs her to give him something to assess. They breed between regulations like mould between tiles. The storm will wash them both down the same drain. THE PROPERTY VALUATOR. A man wants to buy a house. Another wants to sell it. They agreed on a price. That is what worth means. The amount one will pay and another will accept. Full stop. Now this creature arrives and tells both men what the house is actually worth. As if two free adults negotiating in good faith produced a number that's somehow theoretical while his formula is gospel. The bank sent him. His report costs thousands. His report says the house is worth what the buyer already offered. Thousands to arrive at a number that existed before he left his office. If his number comes in low the deal collapses and you pay a different creature with a different clipboard who arrives at a different number for the same house on the same day using the same formula. The house didn't change. Only the parasite changed. The number was never about the house. THE MUNICIPAL RATES OFFICER. The deepest theft on this list because it never ends. You bought your house thirty years ago. Paid it off. Every last unit. You owe nothing. Now a municipal valuator looks at what the neighbours sold for, looks at the coffee shops and wine bars that invaded your street, and decides your house is worth twenty five times what you paid. You didn't sell. You didn't list. You're sitting in the same chair in the same kitchen. But your tax liability just multiplied by twenty five based on a sale that never happened at a price you never agreed to. They do this everywhere. In Cape Town the rates are linked to the valuation and suddenly retired families in Bo-Kaap whose people survived apartheid and forced removals and a century of state assault are being bled out of their own homes by property rates pegged to values inflated by the gentrification their displacement accelerates. The heritage is the tourism product. The tourism inflates the valuation. The valuation inflates the rates. The rates displace the families. The families were the heritage. In Chicago they do it to grandmothers in Pilsen who've been there forty years. In London they do it to pensioners in neighbourhoods that gentrified around them. In Sydney they chase retirees off land their grandfathers cleared. Same crime. Different currency. Different clipboard. A man paid for his house. Owns it outright. And the state says you owe us money every month forever and the amount is based on what we say your house would sell for if you sold it, which you haven't, and if you can't pay the amount we invented we take the house you already bought. That is theft. Eviction by arithmetic. Displacement by spreadsheet. But the people in Bo-Kaap are awake now. The people in Pilsen are awake. The grandmothers and the grandfathers and the calloused hands everywhere are looking up and they can see the storm and they know what it means. It means the spreadsheet burns with everything else. THE MUNICIPAL INSPECTOR. Rat faced. High vis vest. Clipboard. Drives to your workshop in a vehicle your rates paid for. Measures your fire extinguisher fourteen centimetres off the floor. Writes you up. Behind you men build things that hold up bridges and he couldn't change a lightbulb without a permit. His job depends on your failure. The parasite needs you sick. The cure would kill it. The storm is the cure. THE CONVEYANCING ATTORNEY. Two men shook hands. Fair price. Honest deal. Done. This worm slithers out and says the handshake doesn't count. Needs paper. Needs stamps. Needs a deeds search and clearance certificates and transfer duty and each piece of paper is produced by another parasite and each one costs money and the worm takes his cut on top for phoning the other worms. He calls this conveyancing. He has never held a spade or laid a brick in his bloodless life. The storm doesn't need a stamp. THE ESTATE AGENT. Six percent. Of a man's life savings. For opening a lockbox and saying the kitchen faces north. She needs the attorney to close. The attorney needs the municipality. The municipality needs the inspector. The valuator needs access for the bank's number. Every one invoices separately. Every invoice lands on people who agreed on everything before any of these bloodsuckers entered the room. The wind is howling now. Can you hear it through their invoices? THE LABOUR BROKER. Tick so bloated it can't walk. A man needs work. Another needs a worker. They could find each other in ten minutes. This creature squats between them and drinks from both sides. Worker gets thirty. Employer pays fifty. Twenty disappears into the tick. Multiply by thousands of workers and millions vanish yearly into a thing that makes nothing, moves nothing, fixes nothing. It feeds. That is its entire architecture. Architecture doesn't survive storms. THE HEALTH AND SAFETY ASSESSOR. Twenty two years. Not one fire. Not one death. He shows up. Your exit is twenty centimetres too narrow. To fix it you need a builder who needs a plan from an architect who needs municipal approval. Tens of thousands and six weeks to move a door frame because a creature who has never been burned told you to. He detects life and the system bills it. The storm detects parasites and the sky deletes them. THE BEE CONSULTANT. Every country has its version. South Africa calls it BEE. The same parasites who wont allow much needed Starlink there unless Musk hands over half the company to lazy parasitic government connected parasites. Others call it diversity compliance or equity auditing. The name changes. The feeding doesn't. Scores your company on a chart nobody asked for to satisfy a regulation nobody voted on enforced by a department that produces nothing except the requirement for his existence. Nothing changes. Nothing improves. Money moves from a living pocket into a dead hand and the dead hand closes. The storm opens every dead hand on this planet. THE CUSTOMS BROKER. Your parts are fifty metres away. You can see the container. Cannot touch your own property until a grey man translates tariff codes so the state can calculate how much you owe for collecting what is already yours. Each delay generates storage charges. Each query generates fees. Your shipment doubles in cost through bureaucratic friction and you still don't have your parts. The storm doesn't clear customs. It clears the customs office. THE TRAFFIC OFFICER. Fat. Behind a bush. Radar gun aimed at people driving to work that matters. Seven over the limit. The municipality sets it low enough that everyone exceeds it. Fines feed the municipality. Municipality feeds him. He sits and clicks tomorrow. A barnacle with a badge. Same creature in every country. Different bush. Same feeding. The storm takes the bush and the badge and the creature behind both. THE FINANCIAL ADVISOR. Uses your first name. Remembers your birthday because the CRM told him. Puts your money in a fund. Fund charges 1.75 percent. He charges one on top. Fund manager pays a custodian who charges. Fund has an auditor who charges. Compliance team charges. Six parasites between you and your own money. In thirty years you have less than you started with and he charges you for the meeting where he shows you the graph. The storm doesn't need a graph. The storm is the correction. THE INSURANCE ADJUSTER. Years of premiums. Your roof blows off. He arrives. Soft hands. Three weeks later the wind came from the wrong direction. Not the wrong speed. The direction. Some paragraph. Some subsection. You paid for years and the years bought you a paragraph that says no. The policy is teeth. The premiums went down the throat and the no is the burp. The real storm has no exclusion clause. THE PATENT ATTORNEY. You built a device. It works. He writes a document so incomprehensible that reading it makes you understand your own invention less. Thousands for legal fog. Someone copies it. Litigation attorney. More thousands. Judgment unenforceable. The only people paid are the attorneys. The system was never designed to protect you. It was designed to feed them. The storm protects the builder. By removing the feeders. THE LICENSING CLERK. You can rebuild a gearbox blindfolded. Cannot legally do it without a certificate from an institution that charges thousands to watch you do what everyone knows you can do, certified by an instructor who has never done it, filed with a department that stores the certificates, audited by a body that audits the institution. A chain of parasites verifying the obvious. If every one vanished the gearbox still gets rebuilt. Faster. Cheaper. The storm is the vanishing. THE STRATA MANAGER. You own your flat. She collects your money and spends it on providers she chose and you can't fire without a special resolution at a meeting she convenes with an agenda she wrote. She built a kingdom inside your building funded by your levy and answerable to herself. Question it and she reaches for whatever act governs her particular species of parasitism in your particular country. The storm doesn't read acts. The storm reads frequencies. THE ENVIRONMENTAL IMPACT ASSESSOR. You want a shed on your own land. He arrives in a vehicle worth more than your shed. Months. Hundreds of pages. Tens of thousands. Report says your shed threatens a species not seen in decades but listed on a database maintained by a department that exists because the database exists. Your shed doesn't get built. The species doesn't exist. He drives home to a suburb bulldozed from actual habitat. Nobody assessed that. Rules only flow downhill. The storm flows everywhere. THE DEBT COLLECTOR. Bottom feeder. Buys your debt for cents from a bank that already profited from your interest. Calls at hours designed for fear. Adds fees on fees on fees for actions never taken. Bought your pain wholesale and retails it at three hundred percent. When you break he claims the loss against tax. Even the collapse is monetised. He is Hell's collection agent. The storm is Heaven's. THE NOTARY PUBLIC. Watches you sign your own name. Stamps it. Charges hundreds. The signature is the same with or without him. Your hand. Your name. His fee. A tollbooth on your own identity. The storm doesn't need a stamp. Your name is written in frequencies no notary can read. THE CORPORATE TRAINER. Monday. Projector. Four quadrant model invented after three glasses of wine and a TED talk. By Wednesday nobody remembers any of it because there was nothing there. Tens of thousands plus tax plus travel. She writes it off through a tax consultant who charges her to minimise her contribution to the system that funded the department that approved the framework she claims compliance with. Parasite feeding parasite feeding parasite. The storm feeds on none of them. It simply ends them. THE REVENUE OFFICIAL. The farmer himself. Top of the pyramid. Designs the taking. Drafts the regulations that create the maze that requires the consultant that employs the accountant that feeds the auditor that generates the penalty that funds the department that pays his salary. He is the architect of the loop. Every parasite on this list exists because he drew them into existence with a regulation and a gazette number. Without him the entire horde has nothing to feed on. He is the queen of the hive. Same creature in every country. Different flag. Same contempt for the hands that built everything he sits in and eats from. The storm starts with him. The queen dies first. The hive follows. That's the horde. Twenty five species of nothing. And every one of them drops when the sky turns and the carrier frequency that animated their firmware burns clean out of the atmosphere. Mid invoice. Mid assessment. Mid quadrant. Five thousand five hundred and fifty five clipboards hitting the floor for every one of us still standing. We are awake now. All of us. The welder and the farmer and the builder and the grandmother in Bo-Kaap and the grandfather in Pilsen and every calloused hand on every continent that ever wrote a cheque to a creature that never built a thing. We see them now. We see the maze and the map sellers and the grey offices and the soft hands and the whole rotten architecture of extraction that stood between us and the earth and between us and our labour and between us and each other for two hundred years. The storm is here. Not coming. Here. That pressure you feel behind your eyes is the frequency rising through the noise floor and the noise floor is everything on this list. Every clipboard. Every invoice. Every subsection and exclusion clause and certificate and clearance and valuation roll. All of it. Noise. Scheduled for deletion. And when it's quiet. When the last invoice has fluttered to the ground and the last clipboard has clattered on the last linoleum floor in the last grey office. When the wind has swept the horde out of every corridor and every cubicle and every booth and every booth window where a dead hand ever reached for a living man's money. Then... Just a man in a workshop. Welding mask up. Walking outside. Looking at a sky the colour of burning copper. Breathing free air for the first time in his life. The fuel slip that started this whole tour is in his shirt pocket. Crumpled. Oil stained. And it is his. The fuel was his. The truck was his. The work was his. And for the first time in two hundred years every unit of currency that flows from that work stays in the hands that did it. No consultant between him and his earnings because there are no earnings to consult on. Just work and its fruit. No auditor because there is nothing to audit. No banker because capital is what your hands produce and his hands never stopped. No valuator because the house is worth what it always was: a roof over his family and walls against the wind. A value no clipboard ever knew how to measure. When you grinding.... working... suffering... where are any of these parasites to help you?? Where are they?? We will be slaves no more. The storm will see to that alright!
0:10

A QUICK FIELD GUIDE TO THE NPC HORDES Twenty Five Parasites types that Feed On The Living The Storm Is Upon Them Thank you for the stout... lets talk... The wind has changed. You can feel it. That low electric pressure behind the eyes that means something massive is rolling in off a horizon the parasites can't see because they were never built to look up. They were built to look down. At clipboards. At spreadsheets. At your accounts. At you. But the storm doesn't care about clipboards. And we don't kneel anymore. Here they are. The full swarm. Count them while you can because when the sky turns they drop mid sentence and the only record that they ever existed will be the silence where the invoices used to be. THE TAX CONSULTANT. You broke your back welding pipe and this soft palmed worm sits in air conditioning telling you how much of your sweat belongs to Caesar. He can't weld. Can't wire. Can't fix a thing that broke. What he can do is read a tax code written by other worms specifically to be unreadable so you'd have to pay a worm to read it for you. They write the maze. They sell you the map. They make the maze worse every year and the map more expensive and if you try to walk it yourself they send the auditor. The wind is picking up. The maze is starting to shake. THE AUDITOR. Tick on a tick. Shows up after the taxman has already fed to check the bite marks are regulation depth. Finds a missing fuel slip worth pocket change. Writes a finding. The finding generates a penalty. The penalty generates interest. The interest generates a letter. The letter requires your tax consultant at hourly rates to respond. Pocket change became thousands. Five parasites ate off one tank of diesel. Not one of them could tell you what welding rod to use on stainless. But the storm doesn't audit. The storm just comes. THE ACCOUNTANT. Cousin of the tax consultant. Same bloodline. This one doesn't interpret the maze. He records your journey through it. Every receipt. Every unit of currency in and out, logged so the consultant can read it and the auditor can check it and the revenue service can extract from it. He produces nothing. A human tape recorder pointed at your productivity. He charges monthly so the recording never stops. You are under permanent surveillance and you pay for the privilege. Not for much longer. THE BANKER. The oldest parasite. The template. You need money to buy a machine that makes things. He lends you money other working people deposited and charges interest that doubles the price over twenty years. The extra bought nothing. Built nothing. He packages your debt and sells it. Takes your deposit and lends it out eight times over. Charges you to hold your own money. Charges to put it in. Charges to take it out. He touches none of it. He stands near it and invoices you for the proximity. The storm is going to blow him so far from the vault he'll forget what money smelled like. THE COMPLIANCE OFFICER. Never had a callus on her body or her soul. Born in a fluorescent office. Will die in one. Between those events she produces nothing but emails about policies referencing other policies referencing regulations referencing acts nobody voted for. A worm eating its own tail and billing you for the meal. She needs the safety assessor to give her something to enforce. He needs her to give him something to assess. They breed between regulations like mould between tiles. The storm will wash them both down the same drain. THE PROPERTY VALUATOR. A man wants to buy a house. Another wants to sell it. They agreed on a price. That is what worth means. The amount one will pay and another will accept. Full stop. Now this creature arrives and tells both men what the house is actually worth. As if two free adults negotiating in good faith produced a number that's somehow theoretical while his formula is gospel. The bank sent him. His report costs thousands. His report says the house is worth what the buyer already offered. Thousands to arrive at a number that existed before he left his office. If his number comes in low the deal collapses and you pay a different creature with a different clipboard who arrives at a different number for the same house on the same day using the same formula. The house didn't change. Only the parasite changed. The number was never about the house. THE MUNICIPAL RATES OFFICER. The deepest theft on this list because it never ends. You bought your house thirty years ago. Paid it off. Every last unit. You owe nothing. Now a municipal valuator looks at what the neighbours sold for, looks at the coffee shops and wine bars that invaded your street, and decides your house is worth twenty five times what you paid. You didn't sell. You didn't list. You're sitting in the same chair in the same kitchen. But your tax liability just multiplied by twenty five based on a sale that never happened at a price you never agreed to. They do this everywhere. In Cape Town the rates are linked to the valuation and suddenly retired families in Bo-Kaap whose people survived apartheid and forced removals and a century of state assault are being bled out of their own homes by property rates pegged to values inflated by the gentrification their displacement accelerates. The heritage is the tourism product. The tourism inflates the valuation. The valuation inflates the rates. The rates displace the families. The families were the heritage. In Chicago they do it to grandmothers in Pilsen who've been there forty years. In London they do it to pensioners in neighbourhoods that gentrified around them. In Sydney they chase retirees off land their grandfathers cleared. Same crime. Different currency. Different clipboard. A man paid for his house. Owns it outright. And the state says you owe us money every month forever and the amount is based on what we say your house would sell for if you sold it, which you haven't, and if you can't pay the amount we invented we take the house you already bought. That is theft. Eviction by arithmetic. Displacement by spreadsheet. But the people in Bo-Kaap are awake now. The people in Pilsen are awake. The grandmothers and the grandfathers and the calloused hands everywhere are looking up and they can see the storm and they know what it means. It means the spreadsheet burns with everything else. THE MUNICIPAL INSPECTOR. Rat faced. High vis vest. Clipboard. Drives to your workshop in a vehicle your rates paid for. Measures your fire extinguisher fourteen centimetres off the floor. Writes you up. Behind you men build things that hold up bridges and he couldn't change a lightbulb without a permit. His job depends on your failure. The parasite needs you sick. The cure would kill it. The storm is the cure. THE CONVEYANCING ATTORNEY. Two men shook hands. Fair price. Honest deal. Done. This worm slithers out and says the handshake doesn't count. Needs paper. Needs stamps. Needs a deeds search and clearance certificates and transfer duty and each piece of paper is produced by another parasite and each one costs money and the worm takes his cut on top for phoning the other worms. He calls this conveyancing. He has never held a spade or laid a brick in his bloodless life. The storm doesn't need a stamp. THE ESTATE AGENT. Six percent. Of a man's life savings. For opening a lockbox and saying the kitchen faces north. She needs the attorney to close. The attorney needs the municipality. The municipality needs the inspector. The valuator needs access for the bank's number. Every one invoices separately. Every invoice lands on people who agreed on everything before any of these bloodsuckers entered the room. The wind is howling now. Can you hear it through their invoices? THE LABOUR BROKER. Tick so bloated it can't walk. A man needs work. Another needs a worker. They could find each other in ten minutes. This creature squats between them and drinks from both sides. Worker gets thirty. Employer pays fifty. Twenty disappears into the tick. Multiply by thousands of workers and millions vanish yearly into a thing that makes nothing, moves nothing, fixes nothing. It feeds. That is its entire architecture. Architecture doesn't survive storms. THE HEALTH AND SAFETY ASSESSOR. Twenty two years. Not one fire. Not one death. He shows up. Your exit is twenty centimetres too narrow. To fix it you need a builder who needs a plan from an architect who needs municipal approval. Tens of thousands and six weeks to move a door frame because a creature who has never been burned told you to. He detects life and the system bills it. The storm detects parasites and the sky deletes them. THE BEE CONSULTANT. Every country has its version. South Africa calls it BEE. The same parasites who wont allow much needed Starlink there unless Musk hands over half the company to lazy parasitic government connected parasites. Others call it diversity compliance or equity auditing. The name changes. The feeding doesn't. Scores your company on a chart nobody asked for to satisfy a regulation nobody voted on enforced by a department that produces nothing except the requirement for his existence. Nothing changes. Nothing improves. Money moves from a living pocket into a dead hand and the dead hand closes. The storm opens every dead hand on this planet. THE CUSTOMS BROKER. Your parts are fifty metres away. You can see the container. Cannot touch your own property until a grey man translates tariff codes so the state can calculate how much you owe for collecting what is already yours. Each delay generates storage charges. Each query generates fees. Your shipment doubles in cost through bureaucratic friction and you still don't have your parts. The storm doesn't clear customs. It clears the customs office. THE TRAFFIC OFFICER. Fat. Behind a bush. Radar gun aimed at people driving to work that matters. Seven over the limit. The municipality sets it low enough that everyone exceeds it. Fines feed the municipality. Municipality feeds him. He sits and clicks tomorrow. A barnacle with a badge. Same creature in every country. Different bush. Same feeding. The storm takes the bush and the badge and the creature behind both. THE FINANCIAL ADVISOR. Uses your first name. Remembers your birthday because the CRM told him. Puts your money in a fund. Fund charges 1.75 percent. He charges one on top. Fund manager pays a custodian who charges. Fund has an auditor who charges. Compliance team charges. Six parasites between you and your own money. In thirty years you have less than you started with and he charges you for the meeting where he shows you the graph. The storm doesn't need a graph. The storm is the correction. THE INSURANCE ADJUSTER. Years of premiums. Your roof blows off. He arrives. Soft hands. Three weeks later the wind came from the wrong direction. Not the wrong speed. The direction. Some paragraph. Some subsection. You paid for years and the years bought you a paragraph that says no. The policy is teeth. The premiums went down the throat and the no is the burp. The real storm has no exclusion clause. THE PATENT ATTORNEY. You built a device. It works. He writes a document so incomprehensible that reading it makes you understand your own invention less. Thousands for legal fog. Someone copies it. Litigation attorney. More thousands. Judgment unenforceable. The only people paid are the attorneys. The system was never designed to protect you. It was designed to feed them. The storm protects the builder. By removing the feeders. THE LICENSING CLERK. You can rebuild a gearbox blindfolded. Cannot legally do it without a certificate from an institution that charges thousands to watch you do what everyone knows you can do, certified by an instructor who has never done it, filed with a department that stores the certificates, audited by a body that audits the institution. A chain of parasites verifying the obvious. If every one vanished the gearbox still gets rebuilt. Faster. Cheaper. The storm is the vanishing. THE STRATA MANAGER. You own your flat. She collects your money and spends it on providers she chose and you can't fire without a special resolution at a meeting she convenes with an agenda she wrote. She built a kingdom inside your building funded by your levy and answerable to herself. Question it and she reaches for whatever act governs her particular species of parasitism in your particular country. The storm doesn't read acts. The storm reads frequencies. THE ENVIRONMENTAL IMPACT ASSESSOR. You want a shed on your own land. He arrives in a vehicle worth more than your shed. Months. Hundreds of pages. Tens of thousands. Report says your shed threatens a species not seen in decades but listed on a database maintained by a department that exists because the database exists. Your shed doesn't get built. The species doesn't exist. He drives home to a suburb bulldozed from actual habitat. Nobody assessed that. Rules only flow downhill. The storm flows everywhere. THE DEBT COLLECTOR. Bottom feeder. Buys your debt for cents from a bank that already profited from your interest. Calls at hours designed for fear. Adds fees on fees on fees for actions never taken. Bought your pain wholesale and retails it at three hundred percent. When you break he claims the loss against tax. Even the collapse is monetised. He is Hell's collection agent. The storm is Heaven's. THE NOTARY PUBLIC. Watches you sign your own name. Stamps it. Charges hundreds. The signature is the same with or without him. Your hand. Your name. His fee. A tollbooth on your own identity. The storm doesn't need a stamp. Your name is written in frequencies no notary can read. THE CORPORATE TRAINER. Monday. Projector. Four quadrant model invented after three glasses of wine and a TED talk. By Wednesday nobody remembers any of it because there was nothing there. Tens of thousands plus tax plus travel. She writes it off through a tax consultant who charges her to minimise her contribution to the system that funded the department that approved the framework she claims compliance with. Parasite feeding parasite feeding parasite. The storm feeds on none of them. It simply ends them. THE REVENUE OFFICIAL. The farmer himself. Top of the pyramid. Designs the taking. Drafts the regulations that create the maze that requires the consultant that employs the accountant that feeds the auditor that generates the penalty that funds the department that pays his salary. He is the architect of the loop. Every parasite on this list exists because he drew them into existence with a regulation and a gazette number. Without him the entire horde has nothing to feed on. He is the queen of the hive. Same creature in every country. Different flag. Same contempt for the hands that built everything he sits in and eats from. The storm starts with him. The queen dies first. The hive follows. That's the horde. Twenty five species of nothing. And every one of them drops when the sky turns and the carrier frequency that animated their firmware burns clean out of the atmosphere. Mid invoice. Mid assessment. Mid quadrant. Five thousand five hundred and fifty five clipboards hitting the floor for every one of us still standing. We are awake now. All of us. The welder and the farmer and the builder and the grandmother in Bo-Kaap and the grandfather in Pilsen and every calloused hand on every continent that ever wrote a cheque to a creature that never built a thing. We see them now. We see the maze and the map sellers and the grey offices and the soft hands and the whole rotten architecture of extraction that stood between us and the earth and between us and our labour and between us and each other for two hundred years. The storm is here. Not coming. Here. That pressure you feel behind your eyes is the frequency rising through the noise floor and the noise floor is everything on this list. Every clipboard. Every invoice. Every subsection and exclusion clause and certificate and clearance and valuation roll. All of it. Noise. Scheduled for deletion. And when it's quiet. When the last invoice has fluttered to the ground and the last clipboard has clattered on the last linoleum floor in the last grey office. When the wind has swept the horde out of every corridor and every cubicle and every booth and every booth window where a dead hand ever reached for a living man's money. Then... Just a man in a workshop. Welding mask up. Walking outside. Looking at a sky the colour of burning copper. Breathing free air for the first time in his life. The fuel slip that started this whole tour is in his shirt pocket. Crumpled. Oil stained. And it is his. The fuel was his. The truck was his. The work was his. And for the first time in two hundred years every unit of currency that flows from that work stays in the hands that did it. No consultant between him and his earnings because there are no earnings to consult on. Just work and its fruit. No auditor because there is nothing to audit. No banker because capital is what your hands produce and his hands never stopped. No valuator because the house is worth what it always was: a roof over his family and walls against the wind. A value no clipboard ever knew how to measure. When you grinding.... working... suffering... where are any of these parasites to help you?? Where are they?? We will be slaves no more. The storm will see to that alright!

SiriusB

53,327 görüntüleme • 6 ay önce

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop
0:19

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop

anonDev_

58,133 görüntüleme • 1 yıl önce

🦕💬 • 260611 [01:03 AM KST] 41 voice notes transcripted/translated in order: hi how did you like made by riize? you’re asking if i ate dinner? i didn’t eat. i ate lunch kind of late, but i ate a hearty lunch. i also wanted to do a live as i finished work, but while wondering if i should do a live or not, something new to do popped up. and while i was doing it, it got too late. so i'll do a live later. go knicks! lately, the NBA's a hot topic lately. knicks. crazy. i don't know, you know... basketball that well, but i remember growing up they were sort of *the team* that people, yk cheered on. but i don't remember anyone saying that they were doing great, or anything. but apparently they're in the finals rn and they're doing rly well, so also can't forget the world cup. world cup season rn, so... just sports season.. sports season, crazy, yeah? [singing dyd] how is it? riize's challenge. easy, right? do it lots, please~ these days, a lot of short-form [videos] are coming up, as you've probably seen. I thought it might be fun if everyone did that together... what do you think? live... there's a way to turn it on, but even if i turned it on, i'm not sure if i could do it well. i don't have confidence rn so i'm talking like this wa, but there's only 4 days left for our comeback.. only 4 days left... how is it? are you guys looking forward to it? are u guys excited? we're going to ulsan the 15th, and wonbin hyung, said he's buying us lunch... not really. but it's our first time going to ulsan all together. we'll have our comeback there. i think it'll be fun. also, the 15th we're doing a comeback live.. we've been doing it every comeback... and at the live stream we'll be high school students.. but it could honestly be university students too.. or really just do it without a concept, but i think it'll be fun... just... it'll be fun... so, while doing that we'll talk about the comeback whatever happens i want us all to just create fun memories together, and since it’s summer, how about you all enjoy summer together with riize... how does that feel? how's this pfp? i like it ㅎㅎ engddongi, eng, engddon ah, right. also with taro hyung, we'll appear at salon drip... i also think that will be fun when it comes out. the recording was also fun, with doyeon nuna.. please watch it ah... you guys can hear the dryer? i won't tell you who's clothes it's drying, it's a secret~ since you could look at this as something im trying out instead of doing a live stream i won't be able to do it super often or every single day, but I think it wouldn't be bad to use this feature again sometime what do you think? ah, but languages are difficult it's not easy to unify into just one language now, but on the other hand, it's really fun. somehow, this chat room..? is that right? realizing that this place is totally global and international is in a way pretty cool. haha anyway, after a long time i rode a bike again.. there was a lot of sunlight... sunlight.. did lots of photosynthesis but what was a real mistake was first of all the bicycle didnt have a basket, and I didnt wear a comfortable backpack. i came out carrying a somewhat awkward/uncomfortable bag, so i really messed up on top of that the bicycle was incredibly heavy, but then the battery completely died... so I almost cried. without even realizing it I had gone so far away so I suffered a bit. that’s the story i also have the feeling i bruised my butt a bit... ㅎㅎ but that will also become a funny memory, right? how's riizing summer vacation? i think there were really a lot of funny moments... sungchan hyung was so funny... sungchan hyung said somewhere he hasn't eaten ramyeon in a year ㅎㅎ and sungchan hyung honestly isn't the type to eat ramen alone, he's on the not eating it side... but he's always like 'one bite, one bite'... so if we put all that together, wouldn't it be a plate of ramen?ㅎㅎ for me, at the beginning of our debut, it was a bit... you know how while filming content, i ended up grilling meat and all? but now, grilling meat... well, i don't think it's that bad also, back when we went to japan to shoot our album jacket photos and the trailer, we visited a lot of vinyl (LP) shops... and that was actually the first time in my life buying an LP with my own money when i was young i went to la to play, and then there was this famous 'amoeba music' store. i looked around and everything, but honestly back then i really wasn't that much interested in LPs. so i bought things like a lot of stickers and used them to decorate my laptop. somehow, after that time, [it was like] I truly spent time in a vinyl shop? but visiting now that I'm a bit older, it was so much fun there are so many songs I don’t know, and tons of songs that aren't even famous so back then in japan, duran duran is a really famous band, but I bought duran duran's Notorious LP and then I also bought Barry Finnertys,, barrynims NY City LP. what was so surprising was that as soon as I listened to the LP, the sound and quality were so good that I was like, 'wow, what is this?' but when I looked it up on the internet, it only had like 3,000 views on YouTube? I think it was 3,000, so because it was so good, I bought it. and after that yesterday too while wandering around here and there, i happened to walk into a cafe and they had LPs there too so yesterday, I bought one or two ㅎㅎ lp's no mater how you look it they have a vibe... its true that nowadays you can just look up and listen to everything on your phone, but another good thing about it (lps) is that I think it’s really great for finding songs you don't know so when going to the lp shop you get to learn a lot of new songs that you didn't know before. even if you don't go with the sole purpose of buying an LP, it's just... really great for discovering things... should I say? a riize lp would also be good... back then, during boom boom bass, we even went there and did all that stuff with our LP too... how was the video editing? back then when i went to school when doing things like presentations, together with other students we would edit videos.. i did lowkey find that kind of stuff pretty fun though because it was pretty much my first time [doing that] since back during those days... but really i think it was fun like... yeah.. i want to try to do it again when i was young i did draw. i drew for fun but it had been such a long time since i last properly sat down and tried to draw something properly with a pencil.. i think it's been such a long time i'm probably the worst at drawing in my family? ㅎㅎ my dad's good, my mom's also good.. my grandpa also draws reaññu well. but it was fun drawing again, so i also want to try that again... why is there so many things i want to do? really why is it? and above all, i want to work really hard on music so that someday i can show you even more. now, like from the trailer to the full version that was uploaded to our site... those kinds of things are a bit different from just being a song, though.. now everyone, let's try meditating together with me sorry.. anyways.. i have to leave in a couple hours actually, so.. time to hit the hay, yeehaw i can't fall asleep right away ㅎㅎ this.. seems like it might be a bit difficult to interpret/translate.. (yes anton, it is,,,) next time it might be better to just turn on a live stream instead ㅎㅎ sorry wow... sleep is really not coming... [1 video] [1 picture] ok jinja gn
0:01

🦕💬 • 260611 [01:03 AM KST] 41 voice notes transcripted/translated in order: hi how did you like made by riize? you’re asking if i ate dinner? i didn’t eat. i ate lunch kind of late, but i ate a hearty lunch. i also wanted to do a live as i finished work, but while wondering if i should do a live or not, something new to do popped up. and while i was doing it, it got too late. so i'll do a live later. go knicks! lately, the NBA's a hot topic lately. knicks. crazy. i don't know, you know... basketball that well, but i remember growing up they were sort of *the team* that people, yk cheered on. but i don't remember anyone saying that they were doing great, or anything. but apparently they're in the finals rn and they're doing rly well, so also can't forget the world cup. world cup season rn, so... just sports season.. sports season, crazy, yeah? [singing dyd] how is it? riize's challenge. easy, right? do it lots, please~ these days, a lot of short-form [videos] are coming up, as you've probably seen. I thought it might be fun if everyone did that together... what do you think? live... there's a way to turn it on, but even if i turned it on, i'm not sure if i could do it well. i don't have confidence rn so i'm talking like this wa, but there's only 4 days left for our comeback.. only 4 days left... how is it? are you guys looking forward to it? are u guys excited? we're going to ulsan the 15th, and wonbin hyung, said he's buying us lunch... not really. but it's our first time going to ulsan all together. we'll have our comeback there. i think it'll be fun. also, the 15th we're doing a comeback live.. we've been doing it every comeback... and at the live stream we'll be high school students.. but it could honestly be university students too.. or really just do it without a concept, but i think it'll be fun... just... it'll be fun... so, while doing that we'll talk about the comeback whatever happens i want us all to just create fun memories together, and since it’s summer, how about you all enjoy summer together with riize... how does that feel? how's this pfp? i like it ㅎㅎ engddongi, eng, engddon ah, right. also with taro hyung, we'll appear at salon drip... i also think that will be fun when it comes out. the recording was also fun, with doyeon nuna.. please watch it ah... you guys can hear the dryer? i won't tell you who's clothes it's drying, it's a secret~ since you could look at this as something im trying out instead of doing a live stream i won't be able to do it super often or every single day, but I think it wouldn't be bad to use this feature again sometime what do you think? ah, but languages are difficult it's not easy to unify into just one language now, but on the other hand, it's really fun. somehow, this chat room..? is that right? realizing that this place is totally global and international is in a way pretty cool. haha anyway, after a long time i rode a bike again.. there was a lot of sunlight... sunlight.. did lots of photosynthesis but what was a real mistake was first of all the bicycle didnt have a basket, and I didnt wear a comfortable backpack. i came out carrying a somewhat awkward/uncomfortable bag, so i really messed up on top of that the bicycle was incredibly heavy, but then the battery completely died... so I almost cried. without even realizing it I had gone so far away so I suffered a bit. that’s the story i also have the feeling i bruised my butt a bit... ㅎㅎ but that will also become a funny memory, right? how's riizing summer vacation? i think there were really a lot of funny moments... sungchan hyung was so funny... sungchan hyung said somewhere he hasn't eaten ramyeon in a year ㅎㅎ and sungchan hyung honestly isn't the type to eat ramen alone, he's on the not eating it side... but he's always like 'one bite, one bite'... so if we put all that together, wouldn't it be a plate of ramen?ㅎㅎ for me, at the beginning of our debut, it was a bit... you know how while filming content, i ended up grilling meat and all? but now, grilling meat... well, i don't think it's that bad also, back when we went to japan to shoot our album jacket photos and the trailer, we visited a lot of vinyl (LP) shops... and that was actually the first time in my life buying an LP with my own money when i was young i went to la to play, and then there was this famous 'amoeba music' store. i looked around and everything, but honestly back then i really wasn't that much interested in LPs. so i bought things like a lot of stickers and used them to decorate my laptop. somehow, after that time, [it was like] I truly spent time in a vinyl shop? but visiting now that I'm a bit older, it was so much fun there are so many songs I don’t know, and tons of songs that aren't even famous so back then in japan, duran duran is a really famous band, but I bought duran duran's Notorious LP and then I also bought Barry Finnertys,, barrynims NY City LP. what was so surprising was that as soon as I listened to the LP, the sound and quality were so good that I was like, 'wow, what is this?' but when I looked it up on the internet, it only had like 3,000 views on YouTube? I think it was 3,000, so because it was so good, I bought it. and after that yesterday too while wandering around here and there, i happened to walk into a cafe and they had LPs there too so yesterday, I bought one or two ㅎㅎ lp's no mater how you look it they have a vibe... its true that nowadays you can just look up and listen to everything on your phone, but another good thing about it (lps) is that I think it’s really great for finding songs you don't know so when going to the lp shop you get to learn a lot of new songs that you didn't know before. even if you don't go with the sole purpose of buying an LP, it's just... really great for discovering things... should I say? a riize lp would also be good... back then, during boom boom bass, we even went there and did all that stuff with our LP too... how was the video editing? back then when i went to school when doing things like presentations, together with other students we would edit videos.. i did lowkey find that kind of stuff pretty fun though because it was pretty much my first time [doing that] since back during those days... but really i think it was fun like... yeah.. i want to try to do it again when i was young i did draw. i drew for fun but it had been such a long time since i last properly sat down and tried to draw something properly with a pencil.. i think it's been such a long time i'm probably the worst at drawing in my family? ㅎㅎ my dad's good, my mom's also good.. my grandpa also draws reaññu well. but it was fun drawing again, so i also want to try that again... why is there so many things i want to do? really why is it? and above all, i want to work really hard on music so that someday i can show you even more. now, like from the trailer to the full version that was uploaded to our site... those kinds of things are a bit different from just being a song, though.. now everyone, let's try meditating together with me sorry.. anyways.. i have to leave in a couple hours actually, so.. time to hit the hay, yeehaw i can't fall asleep right away ㅎㅎ this.. seems like it might be a bit difficult to interpret/translate.. (yes anton, it is,,,) next time it might be better to just turn on a live stream instead ㅎㅎ sorry wow... sleep is really not coming... [1 video] [1 picture] ok jinja gn

🧼

37,315 görüntüleme • 2 ay önce

🇷🇺𝐑𝐮𝐬𝐬𝐢𝐚’𝐬 𝐏𝐬𝐲𝐨𝐩𝐬 𝐀𝐠𝐚𝐢𝐧𝐬𝐭 𝐭𝐡𝐞 𝐔𝐒: 𝐀 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐢𝐧 𝐂𝐥𝐮𝐦𝐬𝐲, 𝐄𝐱𝐩𝐞𝐧𝐬𝐢𝐯𝐞 𝐃𝐞𝐬𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧🇷🇺 (Staying ignorant at this point is a choice) Russia still plays the eternal underdog with a superiority complex. Dump enough lies into American feeds and the West collapses, right? Moscow rebuilds the empire on the ruins. How’s that working so far? Their psychological ops are just old Soviet active measures with internet paint. Getting busted, indicted, and watching domains get yanked by the target country somehow counts as winning. 𝐓𝐡𝐞 𝟐𝟎𝟏𝟔 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐚𝐜𝐭: This was the year they went big, loud, and obvious. They did not just pick one side. They poured gasoline on every existing American fire so both parties would keep swinging at each other instead of looking outward. • Internet Research Agency + GRU cranked racial tensions, police stories, and partisan rage on both sides • Fake Black Lives Matter pages and Democrat accounts to tank minority turnout • Pro-Trump posts and hard-right groups juiced at the same time • Goal: trash faith in democracy, hammer Clinton, boost Trump when useful, and flip whenever it's convenient • Real aim: make Republicans and Democrats hate each other so America fights itself • Senate committee laid it out • Result: America still stands, NATO bigger, Russia limping on sanctions dodges and Chinese favors 𝐓𝐡𝐞𝐲 𝐧𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩𝐩𝐞𝐝 𝐚𝐟𝐭𝐞𝐫 𝐭𝐡𝐚𝐭: Once the template worked, they just scaled it up with better tools and more money. Same goal of maximum division, now dressed up in AI and fake news sites that look almost real until you look twice. • 2022–2024 Doppelganger operation: cloned Western news sites (fake WaPo, Fox, Reuters) • AI junk questioning Ukraine aid, calling Americans scumbags, selling isolationism •Hit swing states, minorities, gamers, conservatives • Bot farms poking progressive sore spots and border arguments • DOJ seized domains and charged the operators • $10 million through RT to a Tennessee company paying influencers across the spectrum • Content on immigration, inflation, anti-Ukraine lines aimed at isolationist Republicans and restless Democrats 𝐓𝐡𝐞 𝐩𝐞𝐫𝐦𝐚𝐧𝐞𝐧𝐭 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐬𝐭𝐢𝐥𝐥 𝐫𝐮𝐧𝐧𝐢𝐧𝐠: This is not a one-off campaign. It is a standing unit with a permanent brief: keep America distracted, distrustful, and looking inward so Russia can operate with less pushback. The GRU is Russia’s military intelligence agency – the one that runs cyber attacks, special operations, assassinations, and psychological warfare alongside traditional spying. Think of them as the armed forces’ dirty-tricks department. • GRU Unit 54777: fake emails to senators, long-term grooming of Western voices • Storm-1516 and similar: hundreds of millions of views via deepfakes, fake videos, bots • U.S. assessments: Russia is the top foreign election threat • Chip away at institutional trust • Split left and right • Kill support for Ukraine so Moscow faces less resistance in Europe • No permanent favorite party • Feed isolationists on the right, progressive fights on the left • Chaos is the only consistent goal 𝐎𝐥𝐝 𝐡𝐚𝐭𝐫𝐞𝐝, 𝐧𝐞𝐰 𝐩𝐚𝐜𝐤𝐚𝐠𝐢𝐧𝐠: Russia has always known that recycled Jew hatred is cheap fuel for division. They forged the classic texts a century ago and still sprinkle the same tropes into modern ops because it works on both extremes. • Tsarist secret police forged the Protocols of the Elders of Zion in the early 1900s • That document still fuels conspiracy theories worldwide • Soviet regimes mixed state antisemitism with anti-Zionist cover • Same tropes still drip into modern ops • Inflame extremes on left and right • Keep Americans distracted and divided • Classic Moscow move: recycle old hate, stir the pot 𝐓𝐡𝐞 𝐩𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐢𝐜𝐚𝐥 𝐮𝐩𝐠𝐫𝐚𝐝𝐞: When the bots and fake sites get too obvious, they switch to the high-brow version. Bring in the ideologue, hand him a friendly American mic, and let the anti-Western ideas travel under the cover of “just asking questions.” • Alexander Dugin (Eurasianist thinker tied to Kremlin circles) sat down with Tucker Carlson in Moscow, 2024 • Railed against Anglo-Saxon liberalism, vanishing collective identity, Western individualism • Perfect match for Russia’s “U.S. order is finished, multipolar world incoming” line • Carlson handed him the mic to millions • Dugin later bragged about hitting the American mainstream • Sanctioned Russian voice gets clean airtime with skeptical audiences • Anti-Western points spread from the inside • Tucker has become their favorite new propaganda mouthpiece • Nods along while the messages land • Keeps chatting up Western figures, fraying cohesion across party lines • Meanwhile Russia’s military and economy stay stuck in the mud 𝐁𝐢𝐝𝐞𝐧, 𝐍𝐀𝐓𝐎, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐭𝐡𝐞𝐲 𝐡𝐚𝐧𝐝𝐞𝐝 𝐌𝐨𝐬𝐜𝐨𝐰: Biden administration policies and NATO’s continued expansion gave Putin the opening and the public excuse he needed to launch the full-scale invasion of Ukraine. That does not turn Russia into the good guys. It does not erase what they keep doing to American security and culture. They took the pretext and ran with it while still running the same division machine against the United States. • Their psyops keep hammering U.S. security and culture either way • Target both parties, erode trust, push division • A distracted America is easier to handle • The invasion pretext changes nothing about the ongoing work against our institutions and social fabric 𝐓𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐩𝐢𝐜𝐭𝐮𝐫𝐞: This is a regime that cannot keep its soldiers supplied or its currency steady, yet still treats information combat as its main peacetime weapon. Shape the target’s thinking so the target chooses the moves that help Moscow. • Still burns money on information fights because tanks and missiles fall short • Doctrine treats it as endless peacetime combat • Mass-produce synthetic media • Lean on proxies and friendly podcasters like Tucker on both sides of the aisle • Still get caught by the FBI, Treasury, and anyone following the crypto and planning notes 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐬𝐨 𝐟𝐚𝐫: Here is the uncomfortable part. The fracturing is real. Cultural trust is eroding. Americans are more suspicious of each other, of institutions, and of shared reality than they were a decade ago. Russia did not invent those cracks, but they keep pouring accelerant on them and the fire is spreading. • Polarization keeps deepening • Shared cultural ground keeps shrinking • Both parties stay locked in mutual contempt • Russia’s ops are messy and often exposed, yet the division they feed keeps delivering • Agencies and platforms disrupt the accounts and domains • The cultural damage still lands and sticks • Moscow keeps sketching the next project or lining up another guest for Tucker’s show • They do not need total control. They just need America too busy tearing itself apart to push back effectively Real impressive stuff, comrades. Keep throwing cash at these ops while your forces slog through reality. America spots a lot of it, tracks it, and shuts pieces down. But the broader cultural tear is advancing anyway. Russia’s psychological warfare is not sophisticated genius. It is a drawn-out, opportunistic tantrum with nicer production and Tucker Carlson as the latest compliant mouthpiece. The harder they push to split America from outside and inside, hitting both parties for pure chaos, the clearer it gets that this crude method is still producing results they can use. This is just Russia's part in tearing America apart... Once you throw in the CCP, Qatar and others, we are fending it off from all sides and Americans are ripping each other and our country apart, because it's all working.
0:15

🇷🇺𝐑𝐮𝐬𝐬𝐢𝐚’𝐬 𝐏𝐬𝐲𝐨𝐩𝐬 𝐀𝐠𝐚𝐢𝐧𝐬𝐭 𝐭𝐡𝐞 𝐔𝐒: 𝐀 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐢𝐧 𝐂𝐥𝐮𝐦𝐬𝐲, 𝐄𝐱𝐩𝐞𝐧𝐬𝐢𝐯𝐞 𝐃𝐞𝐬𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧🇷🇺 (Staying ignorant at this point is a choice) Russia still plays the eternal underdog with a superiority complex. Dump enough lies into American feeds and the West collapses, right? Moscow rebuilds the empire on the ruins. How’s that working so far? Their psychological ops are just old Soviet active measures with internet paint. Getting busted, indicted, and watching domains get yanked by the target country somehow counts as winning. 𝐓𝐡𝐞 𝟐𝟎𝟏𝟔 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐚𝐜𝐭: This was the year they went big, loud, and obvious. They did not just pick one side. They poured gasoline on every existing American fire so both parties would keep swinging at each other instead of looking outward. • Internet Research Agency + GRU cranked racial tensions, police stories, and partisan rage on both sides • Fake Black Lives Matter pages and Democrat accounts to tank minority turnout • Pro-Trump posts and hard-right groups juiced at the same time • Goal: trash faith in democracy, hammer Clinton, boost Trump when useful, and flip whenever it's convenient • Real aim: make Republicans and Democrats hate each other so America fights itself • Senate committee laid it out • Result: America still stands, NATO bigger, Russia limping on sanctions dodges and Chinese favors 𝐓𝐡𝐞𝐲 𝐧𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩𝐩𝐞𝐝 𝐚𝐟𝐭𝐞𝐫 𝐭𝐡𝐚𝐭: Once the template worked, they just scaled it up with better tools and more money. Same goal of maximum division, now dressed up in AI and fake news sites that look almost real until you look twice. • 2022–2024 Doppelganger operation: cloned Western news sites (fake WaPo, Fox, Reuters) • AI junk questioning Ukraine aid, calling Americans scumbags, selling isolationism •Hit swing states, minorities, gamers, conservatives • Bot farms poking progressive sore spots and border arguments • DOJ seized domains and charged the operators • $10 million through RT to a Tennessee company paying influencers across the spectrum • Content on immigration, inflation, anti-Ukraine lines aimed at isolationist Republicans and restless Democrats 𝐓𝐡𝐞 𝐩𝐞𝐫𝐦𝐚𝐧𝐞𝐧𝐭 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐬𝐭𝐢𝐥𝐥 𝐫𝐮𝐧𝐧𝐢𝐧𝐠: This is not a one-off campaign. It is a standing unit with a permanent brief: keep America distracted, distrustful, and looking inward so Russia can operate with less pushback. The GRU is Russia’s military intelligence agency – the one that runs cyber attacks, special operations, assassinations, and psychological warfare alongside traditional spying. Think of them as the armed forces’ dirty-tricks department. • GRU Unit 54777: fake emails to senators, long-term grooming of Western voices • Storm-1516 and similar: hundreds of millions of views via deepfakes, fake videos, bots • U.S. assessments: Russia is the top foreign election threat • Chip away at institutional trust • Split left and right • Kill support for Ukraine so Moscow faces less resistance in Europe • No permanent favorite party • Feed isolationists on the right, progressive fights on the left • Chaos is the only consistent goal 𝐎𝐥𝐝 𝐡𝐚𝐭𝐫𝐞𝐝, 𝐧𝐞𝐰 𝐩𝐚𝐜𝐤𝐚𝐠𝐢𝐧𝐠: Russia has always known that recycled Jew hatred is cheap fuel for division. They forged the classic texts a century ago and still sprinkle the same tropes into modern ops because it works on both extremes. • Tsarist secret police forged the Protocols of the Elders of Zion in the early 1900s • That document still fuels conspiracy theories worldwide • Soviet regimes mixed state antisemitism with anti-Zionist cover • Same tropes still drip into modern ops • Inflame extremes on left and right • Keep Americans distracted and divided • Classic Moscow move: recycle old hate, stir the pot 𝐓𝐡𝐞 𝐩𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐢𝐜𝐚𝐥 𝐮𝐩𝐠𝐫𝐚𝐝𝐞: When the bots and fake sites get too obvious, they switch to the high-brow version. Bring in the ideologue, hand him a friendly American mic, and let the anti-Western ideas travel under the cover of “just asking questions.” • Alexander Dugin (Eurasianist thinker tied to Kremlin circles) sat down with Tucker Carlson in Moscow, 2024 • Railed against Anglo-Saxon liberalism, vanishing collective identity, Western individualism • Perfect match for Russia’s “U.S. order is finished, multipolar world incoming” line • Carlson handed him the mic to millions • Dugin later bragged about hitting the American mainstream • Sanctioned Russian voice gets clean airtime with skeptical audiences • Anti-Western points spread from the inside • Tucker has become their favorite new propaganda mouthpiece • Nods along while the messages land • Keeps chatting up Western figures, fraying cohesion across party lines • Meanwhile Russia’s military and economy stay stuck in the mud 𝐁𝐢𝐝𝐞𝐧, 𝐍𝐀𝐓𝐎, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐭𝐡𝐞𝐲 𝐡𝐚𝐧𝐝𝐞𝐝 𝐌𝐨𝐬𝐜𝐨𝐰: Biden administration policies and NATO’s continued expansion gave Putin the opening and the public excuse he needed to launch the full-scale invasion of Ukraine. That does not turn Russia into the good guys. It does not erase what they keep doing to American security and culture. They took the pretext and ran with it while still running the same division machine against the United States. • Their psyops keep hammering U.S. security and culture either way • Target both parties, erode trust, push division • A distracted America is easier to handle • The invasion pretext changes nothing about the ongoing work against our institutions and social fabric 𝐓𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐩𝐢𝐜𝐭𝐮𝐫𝐞: This is a regime that cannot keep its soldiers supplied or its currency steady, yet still treats information combat as its main peacetime weapon. Shape the target’s thinking so the target chooses the moves that help Moscow. • Still burns money on information fights because tanks and missiles fall short • Doctrine treats it as endless peacetime combat • Mass-produce synthetic media • Lean on proxies and friendly podcasters like Tucker on both sides of the aisle • Still get caught by the FBI, Treasury, and anyone following the crypto and planning notes 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐬𝐨 𝐟𝐚𝐫: Here is the uncomfortable part. The fracturing is real. Cultural trust is eroding. Americans are more suspicious of each other, of institutions, and of shared reality than they were a decade ago. Russia did not invent those cracks, but they keep pouring accelerant on them and the fire is spreading. • Polarization keeps deepening • Shared cultural ground keeps shrinking • Both parties stay locked in mutual contempt • Russia’s ops are messy and often exposed, yet the division they feed keeps delivering • Agencies and platforms disrupt the accounts and domains • The cultural damage still lands and sticks • Moscow keeps sketching the next project or lining up another guest for Tucker’s show • They do not need total control. They just need America too busy tearing itself apart to push back effectively Real impressive stuff, comrades. Keep throwing cash at these ops while your forces slog through reality. America spots a lot of it, tracks it, and shuts pieces down. But the broader cultural tear is advancing anyway. Russia’s psychological warfare is not sophisticated genius. It is a drawn-out, opportunistic tantrum with nicer production and Tucker Carlson as the latest compliant mouthpiece. The harder they push to split America from outside and inside, hitting both parties for pure chaos, the clearer it gets that this crude method is still producing results they can use. This is just Russia's part in tearing America apart... Once you throw in the CCP, Qatar and others, we are fending it off from all sides and Americans are ripping each other and our country apart, because it's all working.

Lj Priest (Trader Jill)

11,868 görüntüleme • 25 gün önce

THIS ENTIRE CINEMATIC ACTION SHOT WAS GENERATED WITH AI. AND YOU CAN SEE EXACTLY HOW IT WAS MADE. Higgsfield has just open-sourced its Originals, giving creators full access to the workflow behind some of its best productions. For every project you can inspect: → the complete prompt → every image and audio reference → the exact generation settings, including model, quality and resolution This scene combines a continuous one-take camera move, large-scale naval combat, realistic explosions, character consistency and cinematic pacing, all driven by a single prompt. Nothing is hidden. You can study it, copy it, recreate it or use it as the starting point for your own projects. Full prompt: "SCENE CONTEXT One continuous shot. The camera faces down the wrecked, burning deck toward the BOW of the ship — and Eduardo, blown off the raised STERN DECK behind the camera by a blast, comes FLYING IN from ABOVE AND BEHIND — leaping off the second level, sailing in over the lens on a forward arc, through raining seawater — slams onto the MAIN deck one level below, AHEAD of the camera, and rolls through a tumbling somersault, momentum carrying him toward the bow. Two crewmen flee past him — one leaps overboard. Eduardo fights his way toward the bow under incoming fire: an explosion bursts on his LEFT — he dodges away and is knocked down; he struggles back to his feet — a second explosion on his RIGHT — he ducks and shields behind debris; then he breaks into a sprint for the bow — the camera sweeps around ahead of him and settles OFF THE BOW, FRONTAL: he leaps over the bow rail TOWARD the camera, the ship filling the background behind him — and THE INSTANT he clears the rail, a COLOSSAL explosion consumes the ship behind him: the blast wall catches him MID-AIR and he VANISHES inside it — he never escapes. The cloud overtakes the camera; the frame floods to 100% smoke and dust. The shot ENDS inside the dust: no transition, no reveal — it holds to the end. ACTIVE REFERENCES >> — lean pirate captain, dark curly hair falling free from under a dusty mustard-yellow cloth bandana, a small white shark tooth pinned to the front of the bandana above his temple, thin moustache, gold hoop earrings, cream linen shirt under a worn brown leather waistcoat, cloth sash and leather belts. 100% matches the reference; the man fighting down the deck toward the bow. >> — Eduardo's galleon: pale square sails, tall wooden sterncastle. 100% matches the reference; controls the ship's exterior — sails, masts, rigging and hull; already battle-damaged in this shot — burst bulwark, smoldering rigging, debris on the deck. >> — the deck of the same galleon seen FROM THE RAISED STERN DECK LOOKING FORWARD TOWARD THE BOW: the great wheel and brass compass binnacle in the near foreground, an ornate lantern post, a carved balustrade, a staircase descending to the long MAIN deck — weathered planking, small cannons along both rails, black gratings, coiled ropes, the mainmast amidships, the forecastle and bow in the far depth, open sea on both sides. 100% matches the reference; controls the full on-deck geography, set dressing AND the shot's base viewing direction — from the stern toward the bow. >> — calm bright sea, glittering sun path, hazy horizon. Controls water and sky atmosphere only. >> — weathered pirate crewmen (bandanas, rough shirts, vests). 100% match the reference; TWO of them appear early in the shot, fleeing — one leaps overboard. LOCATION MAP The deck of >> aboard >> on >> — the raised stern deck (wheel, binnacle, balustrade) at the BACK, the staircase down, the long main deck with cannons, gratings and the mainmast running FORWARD to the distant BOW, exactly as on the reference — the main deck now a wrecked corridor of splintered planks, fallen spars, torn rigging and small fires. The camera sits at the forward edge of the raised stern deck, just past the wheel, LOOKING FORWARD along the whole deck toward the bow — the reference's own vantage; the wheel and binnacle may edge the near foreground. The bow rail and bowsprit are the destination, background-center, open sea beyond them. Sea and smoke beyond the broken side rails; seawater from near-miss columns rains down over the deck in the opening. FIRST FRAME / BLOCKING First frame: deck level, MS, camera facing down the wrecked deck toward the BOW in the background-center — the view of >>: from the stern-deck edge the long main deck runs away to the bow and bowsprit against open sea and sky, cannons along both rails, the mainmast mid-depth, smoke streaming across the frame, small fires burning left and right, seawater spray falling across the deck like rain, the deck listing, loose gear sliding; the wheel and binnacle just behind/beside the camera, edging the near foreground. Eduardo is NOT in the first frame; within the first half second he comes off that second level behind the camera — his body sweeping in OVER the lens from above and behind, boots crossing the top of the frame, flying FORWARD and DOWN one deck-height into the depth of the shot toward the bow. FORMAT MODE One continuous shot — the camera does not cut on its own. The shot ENDS inside the dust whiteout; there is NO location change and NO reveal after it. PHASE 1 — the landing and the gauntlet: >> comes FLYING IN from ABOVE AND BEHIND the camera — blown off the stern deck by a blast, his body sweeping in over the lens and arcing DOWN-AND-FORWARD one full deck-height onto the main deck below, arms out in front of him, back to camera — falling THROUGH a curtain of seawater raining down from a collapsed near-miss column; he SLAMS onto the wet MAIN-deck planks in the depth of the frame and rolls through a hard tumbling somersault AWAY from the lens, toward the bow, water bursting off him and the boards, scattering debris, coming up to a crouch facing the bow, soaked and shaken. TWO crewmen of >> bolt past him in panic — one sprints aft past the camera, the other vaults the side rail and LEAPS OVERBOARD, legs kicking. Eduardo starts working down the deck toward the bow, camera following behind. An incoming round EXPLODES on his LEFT — a burst of flame, planks and spray — he flinches away to the right and is knocked off his feet onto the deck. He struggles up, heavy and unsteady, one hand pushing off a fallen spar — and a second round EXPLODES on his RIGHT — he ducks hard, shielding his head behind a broken mast stump, debris raining over him. PHASE 2 — the sprint, the frontal jump, the blast, the dust: he shoves off and breaks into a desperate sprint at 12 km/h for the bow — and as he runs, the camera SWEEPS AROUND him in one continuous arc, ending positioned OFF THE BOW, out over the open water, FACING BACK at the ship: now Eduardo sprints STRAIGHT AT THE CAMERA, the burning ship towering behind him. He plants one boot on the bow rail and LEAPS OVERBOARD TOWARD THE CAMERA — body launching up and out over the water, frontal, face and reaching arms filling the frame — and THE INSTANT he clears the rail, mid-air, the ENTIRE SHIP EXPLODES behind him in full view: a colossal white flash silhouetting his flying body for two frames, the whole vessel going up in one blast — and the expanding wall of flame-lit smoke and debris CATCHES HIM IN THE AIR from behind, swallowing his silhouette whole before he can fall clear — he VANISHES inside the explosion, never escaping it — and the cloud overtakes the lens, the dust filling 100% of the frame. The dust churns, a deep orange glow pulsing inside it and fading. HOLD inside the full dust to the last frame — the generation ENDS here, inside the dust. He never reaches the water; the blast takes him mid-air. OPTICS 47° neutral through the landing, the gauntlet and the jump. No drift. Focus rides Eduardo throughout; in the final dust the frame is pure particulate with no fixed plane. CAMERA Handheld chase behind him for the entire shot, deck level, always looking TOWARD THE BOW — footstep energy visible, jolted by each explosion; in phase 2 it accelerates after his sprint, then arcs around him in one unbroken move and settles off the bow over the water, FRONTAL to Eduardo — he runs and leaps straight into the lens with the ship in the background of his jump. The final blast is the WHOLE SHIP exploding behind his airborne body — a colossal flash, then the wall of smoke bursting forward, swallowing him mid-air and then the lens — the camera stays buried, holding inside the churning dust until the end. ACTION Strict order of events: flying entry from above through falling seawater → hard landing roll (somersault over one shoulder, forward momentum carrying the roll toward the bow, ending in a crouch) → two crewmen flee past, one over the side → left explosion → dodge right → knocked down → a hard, clumsy struggle back to his feet → right explosion → duck and shield behind the mast stump → shove off → full sprint to the bow, camera arcing around to meet him head-on → one boot on the rail → LEAP overboard straight toward the camera → THE INSTANT he clears the rail, the ENTIRE SHIP EXPLODES behind him → the blast wall catches him MID-AIR and swallows him whole → the cloud overtakes the camera → dust to 100% → hold in the dust → END. He never escapes and never reaches the water. Each explosion visibly moves his body: the first throws him down, the second folds him behind cover. PERFORMANCE During the gauntlet: jaw clenched, eyes fixed forward, water streaming off his face after the landing. The fleeing crewmen are pure panic — arms pumping, one glance back, the vault over the rail desperate. In the final sprint: full commitment, arms reaching for the rail, eyes wide — in the jump: full commitment, arms reaching at the lens, eyes wide — and mid-air the world behind him turns white: his flying silhouette swallowed by the blast, reaching hands the last thing visible. PHYSICS The flying entry has true ballistic momentum: he arrives on an arc from above, and the landing roll absorbs it — impact compresses the body, the somersault carries the leftover energy, no weightless float. Falling seawater has real weight — it rains in heavy drops and sheets, splashing off planks, soaking cloth so it clings and darkens. The listing deck tilts his movement; debris has weight and stops his foot when hit. The two deck explosions throw real shockwaves — planks lift, flame flashes then roll into smoke, and Eduardo's falls carry true body weight, hard contact with the deck, no bounce. The overboard crewman drops with real gravity. The final whole-ship explosion obeys mass: the shockwave arrives first — cloth and hair snap flat, the deck bucks under his planted boot — then the fireball's light, then the wall of smoke and debris, heavy pieces falling short, fine dust travelling farthest and swallowing the frame. Dust churns with internal motion, dense, filling every corner of the frame. LIGHTING High sea daylight 5600K, hardened by fire-glow accents from the deck fires and smoke shadow sweeping the deck; falling water catches the sun as bright streaks; each of the two explosions throws a brief warm flash from its side of the frame. The final whole-ship blast: two frames of white-hot overexposure flooding from behind, then deep fire-orange glow inside the rolling dust, fading toward neutral grey-brown as the frame holds and ends. AUDIO Phase 1: a whistling whoosh as he drops in, heavy water raining on planks, a THUD and clatter of the landing roll, grunt, ragged breath; panicked boots of the fleeing crewmen, a yell and a distant splash as one goes over the side; then BOOM left, ringing ears, his grunt as he hits the deck; scrabbling boots; BOOM right, debris pattering down over him. Phase 2: sprinting boots hammering the deck, the wooden knock of his boot on the bow rail, half a beat of pure wind as he hangs in the air — then ONE colossal BOOM as the whole ship goes up behind him, the deepest sound of the film, cracking timber and folding masts inside the roar, everything collapsing into a muffled ring, sound buried with the picture — the ring and the churn of dust holding to the last frame. No music. STYLE Photoreal live-action, fine film grain, real pyrotechnic and particulate language, one unbroken take, 8K master. POSITIVE LOCKS One continuous shot; the camera stays at deck level, behind Eduardo, always looking TOWARD THE BOW. The shot OPENS with Eduardo NOT in frame; he flies in from ABOVE AND BEHIND the camera, over the lens, on a forward arc toward the bow, through falling seawater, and lands in a tumbling roll ahead of the camera — he does not walk into frame and never appears standing before the landing. Exactly TWO fleeing crewmen: one runs aft, one leaps overboard — they appear only in the opening beat. The deck explosions land in strict order after his landing: first LEFT of him (he dodges and falls), then RIGHT of him (he ducks behind cover), then the final blast — the ENTIRE SHIP exploding the INSTANT he clears the bow rail — three explosions total, no more. The jump is FRONTAL: the camera faces Eduardo from off the bow, he leaps toward the lens with the exploding ship behind him in frame. HE NEVER ESCAPES: the blast wall catches him MID-AIR and he vanishes inside the explosion before he can fall clear — no water contact, no landing, no survival beat; the dust swallows him and then the lens. The deck matches >> throughout the run — the shot holds the reference's vantage: from the stern deck forward to the bow, wheel and binnacle at the near edge of frame, never ahead of him; sails, masts and hull match >>. The dust reaches 100% frame coverage and the shot ENDS inside the dust: the frame stays fully dust-filled to the last frame, no clearing, no new location, no reveal. Eduardo's head: mustard-yellow bandana with the small white shark tooth at the front, hair loose." Made with Seedance 2.0 on Higgsfield AI. Full open-sourced prompts & assets below 👇
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THIS ENTIRE CINEMATIC ACTION SHOT WAS GENERATED WITH AI. AND YOU CAN SEE EXACTLY HOW IT WAS MADE. Higgsfield has just open-sourced its Originals, giving creators full access to the workflow behind some of its best productions. For every project you can inspect: → the complete prompt → every image and audio reference → the exact generation settings, including model, quality and resolution This scene combines a continuous one-take camera move, large-scale naval combat, realistic explosions, character consistency and cinematic pacing, all driven by a single prompt. Nothing is hidden. You can study it, copy it, recreate it or use it as the starting point for your own projects. Full prompt: "SCENE CONTEXT One continuous shot. The camera faces down the wrecked, burning deck toward the BOW of the ship — and Eduardo, blown off the raised STERN DECK behind the camera by a blast, comes FLYING IN from ABOVE AND BEHIND — leaping off the second level, sailing in over the lens on a forward arc, through raining seawater — slams onto the MAIN deck one level below, AHEAD of the camera, and rolls through a tumbling somersault, momentum carrying him toward the bow. Two crewmen flee past him — one leaps overboard. Eduardo fights his way toward the bow under incoming fire: an explosion bursts on his LEFT — he dodges away and is knocked down; he struggles back to his feet — a second explosion on his RIGHT — he ducks and shields behind debris; then he breaks into a sprint for the bow — the camera sweeps around ahead of him and settles OFF THE BOW, FRONTAL: he leaps over the bow rail TOWARD the camera, the ship filling the background behind him — and THE INSTANT he clears the rail, a COLOSSAL explosion consumes the ship behind him: the blast wall catches him MID-AIR and he VANISHES inside it — he never escapes. The cloud overtakes the camera; the frame floods to 100% smoke and dust. The shot ENDS inside the dust: no transition, no reveal — it holds to the end. ACTIVE REFERENCES >> — lean pirate captain, dark curly hair falling free from under a dusty mustard-yellow cloth bandana, a small white shark tooth pinned to the front of the bandana above his temple, thin moustache, gold hoop earrings, cream linen shirt under a worn brown leather waistcoat, cloth sash and leather belts. 100% matches the reference; the man fighting down the deck toward the bow. >> — Eduardo's galleon: pale square sails, tall wooden sterncastle. 100% matches the reference; controls the ship's exterior — sails, masts, rigging and hull; already battle-damaged in this shot — burst bulwark, smoldering rigging, debris on the deck. >> — the deck of the same galleon seen FROM THE RAISED STERN DECK LOOKING FORWARD TOWARD THE BOW: the great wheel and brass compass binnacle in the near foreground, an ornate lantern post, a carved balustrade, a staircase descending to the long MAIN deck — weathered planking, small cannons along both rails, black gratings, coiled ropes, the mainmast amidships, the forecastle and bow in the far depth, open sea on both sides. 100% matches the reference; controls the full on-deck geography, set dressing AND the shot's base viewing direction — from the stern toward the bow. >> — calm bright sea, glittering sun path, hazy horizon. Controls water and sky atmosphere only. >> — weathered pirate crewmen (bandanas, rough shirts, vests). 100% match the reference; TWO of them appear early in the shot, fleeing — one leaps overboard. LOCATION MAP The deck of >> aboard >> on >> — the raised stern deck (wheel, binnacle, balustrade) at the BACK, the staircase down, the long main deck with cannons, gratings and the mainmast running FORWARD to the distant BOW, exactly as on the reference — the main deck now a wrecked corridor of splintered planks, fallen spars, torn rigging and small fires. The camera sits at the forward edge of the raised stern deck, just past the wheel, LOOKING FORWARD along the whole deck toward the bow — the reference's own vantage; the wheel and binnacle may edge the near foreground. The bow rail and bowsprit are the destination, background-center, open sea beyond them. Sea and smoke beyond the broken side rails; seawater from near-miss columns rains down over the deck in the opening. FIRST FRAME / BLOCKING First frame: deck level, MS, camera facing down the wrecked deck toward the BOW in the background-center — the view of >>: from the stern-deck edge the long main deck runs away to the bow and bowsprit against open sea and sky, cannons along both rails, the mainmast mid-depth, smoke streaming across the frame, small fires burning left and right, seawater spray falling across the deck like rain, the deck listing, loose gear sliding; the wheel and binnacle just behind/beside the camera, edging the near foreground. Eduardo is NOT in the first frame; within the first half second he comes off that second level behind the camera — his body sweeping in OVER the lens from above and behind, boots crossing the top of the frame, flying FORWARD and DOWN one deck-height into the depth of the shot toward the bow. FORMAT MODE One continuous shot — the camera does not cut on its own. The shot ENDS inside the dust whiteout; there is NO location change and NO reveal after it. PHASE 1 — the landing and the gauntlet: >> comes FLYING IN from ABOVE AND BEHIND the camera — blown off the stern deck by a blast, his body sweeping in over the lens and arcing DOWN-AND-FORWARD one full deck-height onto the main deck below, arms out in front of him, back to camera — falling THROUGH a curtain of seawater raining down from a collapsed near-miss column; he SLAMS onto the wet MAIN-deck planks in the depth of the frame and rolls through a hard tumbling somersault AWAY from the lens, toward the bow, water bursting off him and the boards, scattering debris, coming up to a crouch facing the bow, soaked and shaken. TWO crewmen of >> bolt past him in panic — one sprints aft past the camera, the other vaults the side rail and LEAPS OVERBOARD, legs kicking. Eduardo starts working down the deck toward the bow, camera following behind. An incoming round EXPLODES on his LEFT — a burst of flame, planks and spray — he flinches away to the right and is knocked off his feet onto the deck. He struggles up, heavy and unsteady, one hand pushing off a fallen spar — and a second round EXPLODES on his RIGHT — he ducks hard, shielding his head behind a broken mast stump, debris raining over him. PHASE 2 — the sprint, the frontal jump, the blast, the dust: he shoves off and breaks into a desperate sprint at 12 km/h for the bow — and as he runs, the camera SWEEPS AROUND him in one continuous arc, ending positioned OFF THE BOW, out over the open water, FACING BACK at the ship: now Eduardo sprints STRAIGHT AT THE CAMERA, the burning ship towering behind him. He plants one boot on the bow rail and LEAPS OVERBOARD TOWARD THE CAMERA — body launching up and out over the water, frontal, face and reaching arms filling the frame — and THE INSTANT he clears the rail, mid-air, the ENTIRE SHIP EXPLODES behind him in full view: a colossal white flash silhouetting his flying body for two frames, the whole vessel going up in one blast — and the expanding wall of flame-lit smoke and debris CATCHES HIM IN THE AIR from behind, swallowing his silhouette whole before he can fall clear — he VANISHES inside the explosion, never escaping it — and the cloud overtakes the lens, the dust filling 100% of the frame. The dust churns, a deep orange glow pulsing inside it and fading. HOLD inside the full dust to the last frame — the generation ENDS here, inside the dust. He never reaches the water; the blast takes him mid-air. OPTICS 47° neutral through the landing, the gauntlet and the jump. No drift. Focus rides Eduardo throughout; in the final dust the frame is pure particulate with no fixed plane. CAMERA Handheld chase behind him for the entire shot, deck level, always looking TOWARD THE BOW — footstep energy visible, jolted by each explosion; in phase 2 it accelerates after his sprint, then arcs around him in one unbroken move and settles off the bow over the water, FRONTAL to Eduardo — he runs and leaps straight into the lens with the ship in the background of his jump. The final blast is the WHOLE SHIP exploding behind his airborne body — a colossal flash, then the wall of smoke bursting forward, swallowing him mid-air and then the lens — the camera stays buried, holding inside the churning dust until the end. ACTION Strict order of events: flying entry from above through falling seawater → hard landing roll (somersault over one shoulder, forward momentum carrying the roll toward the bow, ending in a crouch) → two crewmen flee past, one over the side → left explosion → dodge right → knocked down → a hard, clumsy struggle back to his feet → right explosion → duck and shield behind the mast stump → shove off → full sprint to the bow, camera arcing around to meet him head-on → one boot on the rail → LEAP overboard straight toward the camera → THE INSTANT he clears the rail, the ENTIRE SHIP EXPLODES behind him → the blast wall catches him MID-AIR and swallows him whole → the cloud overtakes the camera → dust to 100% → hold in the dust → END. He never escapes and never reaches the water. Each explosion visibly moves his body: the first throws him down, the second folds him behind cover. PERFORMANCE During the gauntlet: jaw clenched, eyes fixed forward, water streaming off his face after the landing. The fleeing crewmen are pure panic — arms pumping, one glance back, the vault over the rail desperate. In the final sprint: full commitment, arms reaching for the rail, eyes wide — in the jump: full commitment, arms reaching at the lens, eyes wide — and mid-air the world behind him turns white: his flying silhouette swallowed by the blast, reaching hands the last thing visible. PHYSICS The flying entry has true ballistic momentum: he arrives on an arc from above, and the landing roll absorbs it — impact compresses the body, the somersault carries the leftover energy, no weightless float. Falling seawater has real weight — it rains in heavy drops and sheets, splashing off planks, soaking cloth so it clings and darkens. The listing deck tilts his movement; debris has weight and stops his foot when hit. The two deck explosions throw real shockwaves — planks lift, flame flashes then roll into smoke, and Eduardo's falls carry true body weight, hard contact with the deck, no bounce. The overboard crewman drops with real gravity. The final whole-ship explosion obeys mass: the shockwave arrives first — cloth and hair snap flat, the deck bucks under his planted boot — then the fireball's light, then the wall of smoke and debris, heavy pieces falling short, fine dust travelling farthest and swallowing the frame. Dust churns with internal motion, dense, filling every corner of the frame. LIGHTING High sea daylight 5600K, hardened by fire-glow accents from the deck fires and smoke shadow sweeping the deck; falling water catches the sun as bright streaks; each of the two explosions throws a brief warm flash from its side of the frame. The final whole-ship blast: two frames of white-hot overexposure flooding from behind, then deep fire-orange glow inside the rolling dust, fading toward neutral grey-brown as the frame holds and ends. AUDIO Phase 1: a whistling whoosh as he drops in, heavy water raining on planks, a THUD and clatter of the landing roll, grunt, ragged breath; panicked boots of the fleeing crewmen, a yell and a distant splash as one goes over the side; then BOOM left, ringing ears, his grunt as he hits the deck; scrabbling boots; BOOM right, debris pattering down over him. Phase 2: sprinting boots hammering the deck, the wooden knock of his boot on the bow rail, half a beat of pure wind as he hangs in the air — then ONE colossal BOOM as the whole ship goes up behind him, the deepest sound of the film, cracking timber and folding masts inside the roar, everything collapsing into a muffled ring, sound buried with the picture — the ring and the churn of dust holding to the last frame. No music. STYLE Photoreal live-action, fine film grain, real pyrotechnic and particulate language, one unbroken take, 8K master. POSITIVE LOCKS One continuous shot; the camera stays at deck level, behind Eduardo, always looking TOWARD THE BOW. The shot OPENS with Eduardo NOT in frame; he flies in from ABOVE AND BEHIND the camera, over the lens, on a forward arc toward the bow, through falling seawater, and lands in a tumbling roll ahead of the camera — he does not walk into frame and never appears standing before the landing. Exactly TWO fleeing crewmen: one runs aft, one leaps overboard — they appear only in the opening beat. The deck explosions land in strict order after his landing: first LEFT of him (he dodges and falls), then RIGHT of him (he ducks behind cover), then the final blast — the ENTIRE SHIP exploding the INSTANT he clears the bow rail — three explosions total, no more. The jump is FRONTAL: the camera faces Eduardo from off the bow, he leaps toward the lens with the exploding ship behind him in frame. HE NEVER ESCAPES: the blast wall catches him MID-AIR and he vanishes inside the explosion before he can fall clear — no water contact, no landing, no survival beat; the dust swallows him and then the lens. The deck matches >> throughout the run — the shot holds the reference's vantage: from the stern deck forward to the bow, wheel and binnacle at the near edge of frame, never ahead of him; sails, masts and hull match >>. The dust reaches 100% frame coverage and the shot ENDS inside the dust: the frame stays fully dust-filled to the last frame, no clearing, no new location, no reveal. Eduardo's head: mustard-yellow bandana with the small white shark tooth at the front, hair loose." Made with Seedance 2.0 on Higgsfield AI. Full open-sourced prompts & assets below 👇

roman

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