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This entire game was built using Claude + Thrixel, an agentic 3D creation platform. Thrixel: Generated high-quality, thematically consistent, editable 3D assets. Claude: Assembled in Unity + wrote game logic. 1 /goal prompt + Thrixel Skills + <5 follow-ups Repo coming👇

Rana Hanocka

6,225 subscribers

80,012 次观看 • 2 天前 •via X (Twitter)

科学技术游戏

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Whatever you’re building, a game, an animation, or a world of your own, 404 helps you turn ideas into usable 3D assets. Build beautiful organic worlds using 404-generated assets. Every asset in this reel was generated with 404. All you bring is the prompt. Try it out at:

Whatever you’re building, a game, an animation, or a world of your own, 404 helps you turn ideas into usable 3D assets. Build beautiful organic worlds using 404-generated assets. Every asset in this reel was generated with 404. All you bring is the prompt. Try it out at:

404

15,327 次观看 • 23 天前

This is genuinely insane 🤯 I sent the same prompt to 2 Claude Opus 5 agents 1 agent used no MCPs 1 agent used 2 MCPS the goal was to clone a very famous game, that has over 4 billion downloads and the results are scary.. The 1st agents game looks pretty basic. but has all the mechanics in place and even has power ups. The 2nd agents game looks polished especially for 1 single prompt. the 2nd agent used higgsfield mcp to create images for all of the assets then sent those images to Meshy AI with a prompt to create them it also generated all the UI elements. the results speak for themselves. you need to start MCP maxxing

This is genuinely insane 🤯 I sent the same prompt to 2 Claude Opus 5 agents 1 agent used no MCPs 1 agent used 2 MCPS the goal was to clone a very famous game, that has over 4 billion downloads and the results are scary.. The 1st agents game looks pretty basic. but has all the mechanics in place and even has power ups. The 2nd agents game looks polished especially for 1 single prompt. the 2nd agent used higgsfield mcp to create images for all of the assets then sent those images to Meshy AI with a prompt to create them it also generated all the UI elements. the results speak for themselves. you need to start MCP maxxing

Ernesto Lopez

68,858 次观看 • 5 天前

20 days ago, I connected Claude Code to my newly created instagram handle.. I gained 4.3M views and 6500+ followers in less than a month [ i post Ai generated animated stories ] Full workflow: i let claude study my account before i write another reel.. This is the cleanest content workflow i've built on claude. give it your IG first. 4 prompts handle the rest.. niche research, the reel script, the hook, and the daily automation.. the whole loop is basically, give claude your IG → find what's working → write retention-optimized scripts → engineer the hook → automate the daily output.. ▫️ Setup: give claude your instagram open claude code. claude code has a built-in web tool that browses any public URL. or install any agentic browser like Browser Harness or Firecrawl or Comet browser paste this with your handle filled in: "Browse and pull the last 30 reels and posts. Analyze my recurring topics, top-performing hooks, formats, and engagement patterns. Then map out my actual audience and what they consistently respond to." claude reads your profile, pulls every reel down, and now has the context to personalize every prompt below to YOUR account, not a generic niche. if you're on claude desktop, the same works with firecrawl MCP connected. ▫️ Prompt 1 find what actually goes viral in your niche: "Analyze the highest-performing Instagram Reels, TikToks, and Reddit posts in the [niche] niche from the last 30 days. Identify repeating hooks, visual styles, emotional triggers, and content formats that consistently generate high engagement. Then summarize the 5 strongest content angles optimized for AI-generated content and short-form videos." run this after the setup. you get 5 angles backed by what's already working in your niche, cross-checked against what's already working on YOUR account. ▫️ Prompt 2 write a high-retention reel script "Write a short-form Instagram Reel script about [topic] with an aggressive hook in the first 2 seconds. Create immediate curiosity, tension, or controversy to stop scrolling, then deliver a fast and satisfying payoff. Keep it under 30 seconds and optimize the structure for watch time, replays, comments, and shares. Finish with a subtle CTA." the line that matters: "optimize the structure for watch time, replays, comments, and shares." claude writes for the metrics, not just the word count. ▫️ Prompt 3 engineer better hooks "Study the top-performing Reels in [niche] and break down the hook structure, pacing, and emotional triggers used in the first 3 seconds. Then generate 5 new hook variations that are even more curiosity-driven, emotionally charged, and optimized to stop scrolling instantly. Focus on triggers like surprise, fear, ego, urgency, or desire." most reels die in the first 2 seconds. this prompt has claude reverse-engineer what already works, then give you 5 sharper versions to swap in. ▫️ Prompt 4 automate the whole workflow "Build a complete AI-powered content workflow for Instagram in the [niche] niche. The system should identify trending topics daily, generate high-retention scripts, create matching AI visuals, turn them into short-form videos, and generate optimized captions and hashtags. Structure everything as a repeatable workflow designed for consistent daily posting and growth." once the niche and script structure are validated, this turns it into a daily loop. one prompt that handles topic → script → visual → video → caption. these 4 prompts are the building blocks. the setup is what makes them yours. your real value is in the [niche] you plug in. content workflow built in one weekend, daily posting on autopilot from monday.

Axel Bitblaze 🪓

199,569 次观看 • 1 个月前

Thrilled to unveil Youmio, our new brand identity that represents the next evolution of what we’ve been building. Agents are the biggest technological leap since the internet, destined to transform crypto, games, and entertainment. With Youmio, we are shaping the agentic era, where agents learn, play and entertain in revolutionary ways. 🚀 So far, 2D entertainment and social media agents dominate the market. 3D agents are rare, requiring advanced AI and game engine skills. Yet 3D agents, especially those in game engines, unlock groundbreaking opportunities. Time to unleash them. Youmio empowers anyone to create and deploy valuable agents that are on-chain, cross-platform and ready for 3D worlds. Here’s how: ⭐️ Youmio Agents Youmio Agents lets anyone design and personalize 3D agents, equip them with powerful agentic capabilities, interact with them in unique ways and trade seamlessly within a cross-platform browser experience. 🕹️ Youmio Worlds Previously known as Today The Game, Youmio Worlds is a petri dish AI simulation where users build & co-inhabit beautiful, living 3D worlds with autonomous agents. Build dynamic worlds where players interact with intelligent agents, manage resources and participate in a player-agent marketplace. Ancient and Mythic Seeds are the most powerful entry points into the Youmio Worlds ecosystem, generating rare and beautiful worlds that unlock unique opportunities. 📡 Interoperable 3D Agents With Youmio, you’re not limited to our ecosystem. Using our API, developers can integrate Youmio agents into other experiences built in Unity and Unreal. On top of this, agents from other frameworks can also join Youmio, creating a truly interconnected metaverse. 🎭 Welcome to Limbo Meet Limbo, the first AI agent built using Youmio tech. Paired with the power of Youmio Worlds, we’re creating the Limboverse - a unique AI Big Brother setting where Limbo and your favorite and most valuable agents coexist in an ever-evolving, narrative-driven environment that you, the audience, will shape. $LIMBO is the most powerful entry point into the Limboverse and will be stakable on the Youmio Agents platform for unique rewards. Thanks for reading everyone and thanks for being on this amazing journey with us.🌱

Youmio

126,370 次观看 • 1 年前

I Combined ChatGPT 5.5 Image-2 + Claude Fable 5… And Built This FULL Game in JUST 8 Hours 😱 The World Has Officially Changed Forever Guys… I still can’t believe what I just pulled off. I took ChatGPT 5.5’s new Image-2 to generate every single visual characters, environments, UI, particles, everything and paired it with Claude Fable 5 for the entire codebase. The result? A complete, polished, fully playable game… finished in only 8 hours. No massive team. No months of crunch. No expensive asset packs. Image-2 created mind-blowing art assets on demand. Fable 5 turned those images into real, working code mechanics, physics, AI, animations, menus everything. This hybrid combo is straight-up sorcery. The world has truly changed. We are no longer waiting years for games to be made. One person + these two god-tier AIs just built something that used to require entire studios and huge budgets… in less than a single workday. This is the next level of human civilization. This is what creation looks like from now on. But here’s the crazy part: This free access ends June 22, 2026. After that, you’ll have to pay/subscribe to keep using it. If you’ve been waiting to see what the future of game dev actually looks like… THIS IS IT. Go try it right now before the paywall hits. Don’t sleep on this. Seriously. Drop in the comments: What game should I build next with this insane Image-2 + Fable 5 hybrid? Like if your mind is blown too 🔥 And tag a friend who NEEDS to see this before it’s gone. The future isn’t coming… It’s already here. And it’s free for one more day only. #Fable5 #ChatGPT55 #Image2 #AIHybrid #GameDevRevolution

I Combined ChatGPT 5.5 Image-2 + Claude Fable 5… And Built This FULL Game in JUST 8 Hours 😱 The World Has Officially Changed Forever Guys… I still can’t believe what I just pulled off. I took ChatGPT 5.5’s new Image-2 to generate every single visual characters, environments, UI, particles, everything and paired it with Claude Fable 5 for the entire codebase. The result? A complete, polished, fully playable game… finished in only 8 hours. No massive team. No months of crunch. No expensive asset packs. Image-2 created mind-blowing art assets on demand. Fable 5 turned those images into real, working code mechanics, physics, AI, animations, menus everything. This hybrid combo is straight-up sorcery. The world has truly changed. We are no longer waiting years for games to be made. One person + these two god-tier AIs just built something that used to require entire studios and huge budgets… in less than a single workday. This is the next level of human civilization. This is what creation looks like from now on. But here’s the crazy part: This free access ends June 22, 2026. After that, you’ll have to pay/subscribe to keep using it. If you’ve been waiting to see what the future of game dev actually looks like… THIS IS IT. Go try it right now before the paywall hits. Don’t sleep on this. Seriously. Drop in the comments: What game should I build next with this insane Image-2 + Fable 5 hybrid? Like if your mind is blown too 🔥 And tag a friend who NEEDS to see this before it’s gone. The future isn’t coming… It’s already here. And it’s free for one more day only. #Fable5 #ChatGPT55 #Image2 #AIHybrid #GameDevRevolution

0AIVerse

27,845 次观看 • 1 个月前

My dad called me at 7 AM on a Sunday. I need you to look at something. Do not tell your mother. I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green numbers. +$14,200. He is 56. Retired electrician. Calls WiFi the internet box. Dad what the fuck is this? I found an article about connecting Claude to Polymarket. Told Claude to install it. One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He does not know what MCP means. Does not care. Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: What is closing today with mispriced odds? Claude cross-references markets in one call. Spots where the price disagrees with the news. He does not out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: 680 trades 90.2% win rate +$14,200 Best trade: Claude alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He was not checking the score. Last week he booked her a cruise. Said he had been saving since January. He has not saved anything since January. When are you telling her? When I hit $25K. I am buying the lake house. Dad you do not even know what an API is. I do not need to. The machine knows. He still calls Claude the machine. The machine prints money. I built the entire framework he used: Claude MCP setup Polymarket mispricing detection Quarter Kelly position sizing Volume spike alerts Cron-based market scanning The system runs 24/7. Finds mispriced odds before the crowd adjusts. Executes before the edge compresses. No emotions. No FOMO. Just math. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the mispricing system this week. Start with $500. Scale on evidence.

My dad called me at 7 AM on a Sunday. I need you to look at something. Do not tell your mother. I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green numbers. +$14,200. He is 56. Retired electrician. Calls WiFi the internet box. Dad what the fuck is this? I found an article about connecting Claude to Polymarket. Told Claude to install it. One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He does not know what MCP means. Does not care. Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: What is closing today with mispriced odds? Claude cross-references markets in one call. Spots where the price disagrees with the news. He does not out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: 680 trades 90.2% win rate +$14,200 Best trade: Claude alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He was not checking the score. Last week he booked her a cruise. Said he had been saving since January. He has not saved anything since January. When are you telling her? When I hit $25K. I am buying the lake house. Dad you do not even know what an API is. I do not need to. The machine knows. He still calls Claude the machine. The machine prints money. I built the entire framework he used: Claude MCP setup Polymarket mispricing detection Quarter Kelly position sizing Volume spike alerts Cron-based market scanning The system runs 24/7. Finds mispriced odds before the crowd adjusts. Executes before the edge compresses. No emotions. No FOMO. Just math. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the mispricing system this week. Start with $500. Scale on evidence.

Himanshu Kumar

18,222 次观看 • 1 个月前

AI IS EATING THE CONTENT INDUSTRY: $5,614 IN JUST 2 WEEKS recently, I came across a story that makes you rethink everything we know about blogging. a guy created an ai persona, started a tiktok, and generated that amount in pure profit. how did he do it? no filming, no professional lighting, no endless hours of editing. his workflow looks like the future: claude for generating ideas and prompts. fanvue for monetization and communication. comfyui + flux for creating consistent, high-quality visuals. the most interesting part? he spends less than an hour a day maintaining this "business." while we're still arguing about whether "real" content is better, someone is simply automating this process and capturing the audience's attention. this isn't just about the money it's about a total shift in the game. i'm diving deep into this approach right now because it looks like the most effective way to build a personal brand in 2026 without burning out. what do you think is this the new standard for creators, or just a short-lived trend? 👇

Crypto Mavka

68,622 次观看 • 1 个月前

Karpathy's Agentic Engineering finally has proper tooling! (built by Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.

Karpathy's Agentic Engineering finally has proper tooling! (built by Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.

Akshay 🚀

256,929 次观看 • 1 个月前

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

50,112 次观看 • 5 个月前

An Anthropic paid for my espresso at Sightglass when he saw my screen. I was backtesting a Claude-built arbitrage system. Terminal open. Live trades firing. He glanced over. Stopped walking. That is not TradingView. What framework is that actually running. Claude Code. Three repos. One prompt. $20 per month. He sat down across from me without asking. I work on AlphaGo successor models. We test reinforcement agents for market simulation. You are running something similar but you let Claude write the strategy layer. Not just strategy. Detection. github/warproxxx/poly_data 86 million Polymarket trades. Every wallet. Every position. Every timestamp. You are feeding Claude transaction history and letting it identify asymmetric behavior patterns. Then cloning the profitable ones in real time. Exactly. One prompt: Scan every wallet with 150+ trades and ROI above 65%. Rank by consistency. Export top 40. Claude processed 18,600 wallets in 6 minutes. Returned 38. Top 15 wallets outperformed the bottom 18,000 combined. That is not analysis. That is alpha concentration. Precisely. And you did not write the ranking algorithm. Claude built it. I just connected it to execution logic. Then I opened the second repo. github/Polymarket/polymarket-cli Official Rust CLI. No auth required for reads. 600+ markets scanned in under 3 minutes. Claude scores: liquidity depth, pricing gap, resolution timeline. 512 markets reduced to 28 before capital moves. 94.5% filtered out before entry consideration. A notification hit. Position filled. +$127. How does it decide entry timing. Four agents. No shared state. Arbitrage detector, convergence scanner, whale mirror, volume surge tracker. 3 agents agree: full position. 2 agree: half size. Split vote: skip. Consensus filtering alone eliminated 46% of losses in backtest. And exit logic. The 38 top wallets almost never hold to settlement. 89% exit early. Average 71% of max profit captured. Immediate redeployment. My bot exits at 82% of projected move or 4x volume spike. Whichever hits first. You built a whale copy system that exits before the whales do. Correct. He set his coffee down slowly. How many trades per day. 12 average. Most rejected by filters before I see notifications. My setup: Claude API: $20/mo VPS Frankfurt: $6/mo poly_data: free polymarket-cli: free $300 seed capital. 34 days ago. $18,700 now. 318 trades. 76% win rate. Sharpe 2.61. I have not modified it in 34 days. He stared at the terminal without blinking. This is exactly what our adversarial testing team models. Market-adaptive agents with autonomous strategy evolution. Except you deployed it live. He messaged me the next day. Would you consider a conversation with our safety research lead. I told him this post is the conversation. Too late to contain. The edge is not predicting markets. It is identifying who already wins and mirroring them before the pattern shifts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Money" 2. Like and retweet this post. 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the whale mirror system this week. Start with $200. Scale on evidence.

An Anthropic paid for my espresso at Sightglass when he saw my screen. I was backtesting a Claude-built arbitrage system. Terminal open. Live trades firing. He glanced over. Stopped walking. That is not TradingView. What framework is that actually running. Claude Code. Three repos. One prompt. $20 per month. He sat down across from me without asking. I work on AlphaGo successor models. We test reinforcement agents for market simulation. You are running something similar but you let Claude write the strategy layer. Not just strategy. Detection. github/warproxxx/poly_data 86 million Polymarket trades. Every wallet. Every position. Every timestamp. You are feeding Claude transaction history and letting it identify asymmetric behavior patterns. Then cloning the profitable ones in real time. Exactly. One prompt: Scan every wallet with 150+ trades and ROI above 65%. Rank by consistency. Export top 40. Claude processed 18,600 wallets in 6 minutes. Returned 38. Top 15 wallets outperformed the bottom 18,000 combined. That is not analysis. That is alpha concentration. Precisely. And you did not write the ranking algorithm. Claude built it. I just connected it to execution logic. Then I opened the second repo. github/Polymarket/polymarket-cli Official Rust CLI. No auth required for reads. 600+ markets scanned in under 3 minutes. Claude scores: liquidity depth, pricing gap, resolution timeline. 512 markets reduced to 28 before capital moves. 94.5% filtered out before entry consideration. A notification hit. Position filled. +$127. How does it decide entry timing. Four agents. No shared state. Arbitrage detector, convergence scanner, whale mirror, volume surge tracker. 3 agents agree: full position. 2 agree: half size. Split vote: skip. Consensus filtering alone eliminated 46% of losses in backtest. And exit logic. The 38 top wallets almost never hold to settlement. 89% exit early. Average 71% of max profit captured. Immediate redeployment. My bot exits at 82% of projected move or 4x volume spike. Whichever hits first. You built a whale copy system that exits before the whales do. Correct. He set his coffee down slowly. How many trades per day. 12 average. Most rejected by filters before I see notifications. My setup: Claude API: $20/mo VPS Frankfurt: $6/mo poly_data: free polymarket-cli: free $300 seed capital. 34 days ago. $18,700 now. 318 trades. 76% win rate. Sharpe 2.61. I have not modified it in 34 days. He stared at the terminal without blinking. This is exactly what our adversarial testing team models. Market-adaptive agents with autonomous strategy evolution. Except you deployed it live. He messaged me the next day. Would you consider a conversation with our safety research lead. I told him this post is the conversation. Too late to contain. The edge is not predicting markets. It is identifying who already wins and mirroring them before the pattern shifts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Money" 2. Like and retweet this post. 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the whale mirror system this week. Start with $200. Scale on evidence.

Himanshu Kumar

15,576 次观看 • 1 个月前

A HIGH SCHOOL STUDENT IS STOCKPILING A MASSIVE GTA 6 SCRIPT CATALOG 10 MONTHS BEFORE THE GAME LAUNCHES He realized that when 150 million players finally arrive in November, thousands of new server owners are going to scramble for custom infrastructure. Most people are just rewatching the trailers and waiting to play, but between prepping for his informatics exams, he started analyzing the current FiveM marketplace on Tebex. He noticed that server admins constantly buy custom jobs, complex economy systems, and high-fidelity UI panels because none of them want to build everything from scratch. Instead of trying to compete with AAA studios, he pivoted completely to solving the exact problems server owners have right now. He uses Claude to help draft the core logic in under a minute, then spends his time testing the scripts, refining the code, and listing the assets. With single scripts selling anywhere from $50 to $389, he isn't relying on viral luck. He is just quietly releasing two quality scripts a week. He is treating the wait time as a 26-week runway, building an entire catalog of assets so he is fully established before the player flood even hits. See the exact script-building workflow he uses below👇

A HIGH SCHOOL STUDENT IS STOCKPILING A MASSIVE GTA 6 SCRIPT CATALOG 10 MONTHS BEFORE THE GAME LAUNCHES He realized that when 150 million players finally arrive in November, thousands of new server owners are going to scramble for custom infrastructure. Most people are just rewatching the trailers and waiting to play, but between prepping for his informatics exams, he started analyzing the current FiveM marketplace on Tebex. He noticed that server admins constantly buy custom jobs, complex economy systems, and high-fidelity UI panels because none of them want to build everything from scratch. Instead of trying to compete with AAA studios, he pivoted completely to solving the exact problems server owners have right now. He uses Claude to help draft the core logic in under a minute, then spends his time testing the scripts, refining the code, and listing the assets. With single scripts selling anywhere from $50 to $389, he isn't relying on viral luck. He is just quietly releasing two quality scripts a week. He is treating the wait time as a 26-week runway, building an entire catalog of assets so he is fully established before the player flood even hits. See the exact script-building workflow he uses below👇

wast3

112,849 次观看 • 1 个月前

A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.

A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.

Marlow

3,237,258 次观看 • 3 个月前

I’ve used all the recent GenAI video models extensively & here’s my 2¢: 🎬 Runway Gen3 Alpha - best image quality & motion for text-to-video & embedded words. Great at prompt travel changes over the course of 10 sec. And I’m super bullish on how gen3 will evolve, hopefully adopting the features listed below. Kling - best quality for image-to-video with prompt control, like eating food. Great clip extension that accounts for character (ie walking stride) & camera movement (speed & angle), rather than just using final frame. But it’s limited availability & Chinese native language is limiting. Used for Spider-Man video below (via Midjourney). LumaLabs - best for keyframe start & end control (it can not be overstated how important this is. other services should add it ASAP!) and their high dynamic action movements are really fun. Luma was used in my viral Multiverse of Memes video. PikaLabs - they haven’t gotten as much attention as others lately. But they did update their video model a few weeks ago and it looks great. Also, they are notable for their unique & AWESOME features, like video in-painting & out-painting. My perfect AI video platform would have the following features: 1) Gen3’s quality, prompt control & text embedding. 2) KLing’s image-to-video quality, prompt control & clip extension quality. 3) Luma’s multi-keyframe control & dynamic movement ability. 4) Pika’s inpainting & outpainting ability. And a video-to-video (aka next-gen Runway gen1) could be a game changer, too. It’s an exciting time to be alive 🫶 Who will get there first? 🔉🔉

I’ve used all the recent GenAI video models extensively & here’s my 2¢: 🎬 Runway Gen3 Alpha - best image quality & motion for text-to-video & embedded words. Great at prompt travel changes over the course of 10 sec. And I’m super bullish on how gen3 will evolve, hopefully adopting the features listed below. Kling - best quality for image-to-video with prompt control, like eating food. Great clip extension that accounts for character (ie walking stride) & camera movement (speed & angle), rather than just using final frame. But it’s limited availability & Chinese native language is limiting. Used for Spider-Man video below (via Midjourney). LumaLabs - best for keyframe start & end control (it can not be overstated how important this is. other services should add it ASAP!) and their high dynamic action movements are really fun. Luma was used in my viral Multiverse of Memes video. PikaLabs - they haven’t gotten as much attention as others lately. But they did update their video model a few weeks ago and it looks great. Also, they are notable for their unique & AWESOME features, like video in-painting & out-painting. My perfect AI video platform would have the following features: 1) Gen3’s quality, prompt control & text embedding. 2) KLing’s image-to-video quality, prompt control & clip extension quality. 3) Luma’s multi-keyframe control & dynamic movement ability. 4) Pika’s inpainting & outpainting ability. And a video-to-video (aka next-gen Runway gen1) could be a game changer, too. It’s an exciting time to be alive 🫶 Who will get there first? 🔉🔉

Blaine Brown

26,535 次观看 • 2 年前

been getting a lot of qs on how i vibe coded this demo. and the answer is: stop acting like a coder and start acting like a PM! my exact playbook👇 1. logic first ignore the UI/graphics. focus strictly on how it works. do a massive brain dump of every requirement into a plain txt file and drop it in your root folder. make it exhaustively detailed. 2. the stack · Nano Banana 2 (tiles/textures/3D refs) · Tripo AI (turning the 2D pics into actual 3D models) · Cursor + Opus 4.6 (doing the heavy lifting) · Netlify (deploy) 3. hire the AI PM feed your brain dump to an LLM. tell it to write a technical spec sheet like a senior PM would. drop that in the root too. 4. the scrum master have it break the entire project down into a markdown checklist by phases. notice we still haven't touched the codebase yet. that's the point. 5. let it cook go to your agent in Cursor and literally just prompt "Start Phase 1". test locally. bugs? tell it to fix. works? "Start Phase 2". loop this until you're done. Now you can focus on visuals, refine them with the agent. And yes, it can deploy it for you too if you give it perms. stop rushing to the editor. architect the idea and let the AI sweat the code. Open sourced repo in the qt post below

been getting a lot of qs on how i vibe coded this demo. and the answer is: stop acting like a coder and start acting like a PM! my exact playbook👇 1. logic first ignore the UI/graphics. focus strictly on how it works. do a massive brain dump of every requirement into a plain txt file and drop it in your root folder. make it exhaustively detailed. 2. the stack · Nano Banana 2 (tiles/textures/3D refs) · Tripo AI (turning the 2D pics into actual 3D models) · Cursor + Opus 4.6 (doing the heavy lifting) · Netlify (deploy) 3. hire the AI PM feed your brain dump to an LLM. tell it to write a technical spec sheet like a senior PM would. drop that in the root too. 4. the scrum master have it break the entire project down into a markdown checklist by phases. notice we still haven't touched the codebase yet. that's the point. 5. let it cook go to your agent in Cursor and literally just prompt "Start Phase 1". test locally. bugs? tell it to fix. works? "Start Phase 2". loop this until you're done. Now you can focus on visuals, refine them with the agent. And yes, it can deploy it for you too if you give it perms. stop rushing to the editor. architect the idea and let the AI sweat the code. Open sourced repo in the qt post below

TechHalla

70,060 次观看 • 5 个月前

FABLE 5 + HIGGSFIELD BUILD $35K SITES FOR ~$27. BUT EVERYONE HIDES THE 4 THINGS THAT BREAK. HERE THEY ARE - WITH THE FIX. everyone shows the finished build. nobody shows where it breaks on the way there. this is what actually goes wrong, and how to fix each one: → BREAK 1: the clips look generic fix: never prompt "cinematic hero video." give Higgsfield the exact beat - "a slow push through fog as the logo resolves." specificity is the whole game. → BREAK 2: the scroll janks on mobile fix: tell Claude to scrub a compressed video, not full-res, and cap ScrollTrigger to 60fps. Lenis + will-change, never raw scroll listeners. → BREAK 3: it loads like molasses fix: one line - "extract frames, convert to WebP, lazy-load everything below the fold." a heavy hero is what kills these builds. → BREAK 4: the polish reads fake fix: film grain, bloom, vignette at 10-15% - not 100%. subtle reads $35k. cranked reads AI slop. taste is the dial. get those four right and nobody can tell it wasn't a studio. CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: - mcp_servers: - higgsfield: - url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. the tools ship the site in an hour. these four fixes are what make it look like it took a month. Follow me, reply "BRAKE" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇

ZEUS⚡️

11,609 次观看 • 11 天前

$A Jane Street quant sat down across from me at Dandelion I was grinding through a loss streak. Three red windows in a row. BTC 5-min bot on screen. She clocked it from the next table. "Is that Polymarket? Why is your oracle pinned" I told her. Chainlink. Resolves every 5 minutes. Binance and Coinbase are the real price. She moved her matcha over without asking. "You're trading oracle lag. We did this on ETH perps in 2022. Regulators shut us down in six weeks" Not perps. Binary markets. Nobody regulates a 5-minute window. 86 million Polymarket trades. Every fill. Every book snapshot. Every resolution. "You wrote a scorer on top of this" I didn't. Claude did. One prompt. 21 days of tick data. I asked what setup has the highest follow-through. Binance and Coinbase both cross the target by $50. Same direction. Chainlink hasn't printed yet. 94% of the time the oracle catches up inside 2 minutes. "So you're front-running a feed that can't front-run you back" Yeah. She pulled out a notebook. Actual paper. Wrote something. Circled it twice. "At the desk we called this a stale quote trade. Died the minute oracles went sub-second" I told her Chainlink on Polymarket still runs on a 5-minute update. That's the whole game. A green fill landed. +$52. "What's the second layer" Order book imbalance. First 10 levels. First 90 seconds. Above 1.8 buyers are loading. Below 0.55 sellers are breaking it. Retail doesn't show up until t+240. Three files. Entry scorer. Exit trigger. Settlement router. Claude rebuilds the scorer every Sunday from the week's logs. "You're letting it rewrite its own strategy" Exactly. "That's the part my old risk team would have lost sleep over" The exit is what keeps it alive. 0.75 shares. Never resolution. Polygon settles in 1 to 3 seconds and half the fills miss in the last minute. Early exit locks 70% of max. Redeploy next window. "55 out of 400 a day" How did you know. "Kelly fraction on a 71% hit rate with that payoff geometry. You'd be insane to trade more" She wasn't wrong. My setup: Claude API - $20/mo Hetzner VPS - $5/mo poly_data - free polymarket-trade-engine - free Polymarket/agents - free 30 days. 1,847 trades. 71% win rate. +$14,200. Copytrade here: Sharpe 2.84. Max DD -$640. Avg hold 3:12. She closed her notebook. "I make more than this in a bad afternoon at the desk. But the desk doesn't let me copy-paste a scorer from Claude on a Sunday" I told her that's the whole point. She stared at the screen for a minute. "Can I follow this wallet" Already live. The article was up the next morning. Her partner DMed me by lunch. Three lines. "Saw your post. My entire prop group is reading it. We'd like to talk" I told him the post is the talk. Everything's in it. Nothing left to gatekeep.$

A Jane Street quant sat down across from me at Dandelion I was grinding through a loss streak. Three red windows in a row. BTC 5-min bot on screen. She clocked it from the next table. "Is that Polymarket? Why is your oracle pinned" I told her. Chainlink. Resolves every 5 minutes. Binance and Coinbase are the real price. She moved her matcha over without asking. "You're trading oracle lag. We did this on ETH perps in 2022. Regulators shut us down in six weeks" Not perps. Binary markets. Nobody regulates a 5-minute window. 86 million Polymarket trades. Every fill. Every book snapshot. Every resolution. "You wrote a scorer on top of this" I didn't. Claude did. One prompt. 21 days of tick data. I asked what setup has the highest follow-through. Binance and Coinbase both cross the target by $50. Same direction. Chainlink hasn't printed yet. 94% of the time the oracle catches up inside 2 minutes. "So you're front-running a feed that can't front-run you back" Yeah. She pulled out a notebook. Actual paper. Wrote something. Circled it twice. "At the desk we called this a stale quote trade. Died the minute oracles went sub-second" I told her Chainlink on Polymarket still runs on a 5-minute update. That's the whole game. A green fill landed. +$52. "What's the second layer" Order book imbalance. First 10 levels. First 90 seconds. Above 1.8 buyers are loading. Below 0.55 sellers are breaking it. Retail doesn't show up until t+240. Three files. Entry scorer. Exit trigger. Settlement router. Claude rebuilds the scorer every Sunday from the week's logs. "You're letting it rewrite its own strategy" Exactly. "That's the part my old risk team would have lost sleep over" The exit is what keeps it alive. 0.75 shares. Never resolution. Polygon settles in 1 to 3 seconds and half the fills miss in the last minute. Early exit locks 70% of max. Redeploy next window. "55 out of 400 a day" How did you know. "Kelly fraction on a 71% hit rate with that payoff geometry. You'd be insane to trade more" She wasn't wrong. My setup: Claude API - $20/mo Hetzner VPS - $5/mo poly_data - free polymarket-trade-engine - free Polymarket/agents - free 30 days. 1,847 trades. 71% win rate. +$14,200. Copytrade here: Sharpe 2.84. Max DD -$640. Avg hold 3:12. She closed her notebook. "I make more than this in a bad afternoon at the desk. But the desk doesn't let me copy-paste a scorer from Claude on a Sunday" I told her that's the whole point. She stared at the screen for a minute. "Can I follow this wallet" Already live. The article was up the next morning. Her partner DMed me by lunch. Three lines. "Saw your post. My entire prop group is reading it. We'd like to talk" I told him the post is the talk. Everything's in it. Nothing left to gatekeep.

Lunar

20,307 次观看 • 3 个月前

Today's recap: - Initial prototype of Divine's face was printed but it had human assistance. - Files are generated from stable diffusion prompt -> NeRF by divine and were based on community sentiment from early sketches she made. - Having divine redesign the 3D file with different Hugging Face models to get better quality. Have not found a great model like our video generator. - Ordered new table for divine's print arm. The table her arm is on is too flimsy. Since Divine's vision system is still clearing customs, if she is not perfectly positioned she can be prone to hit things, like the fume box the printer is in. ETA: 1-2 days for table. 1 week for vision system. - Another part of Divine's coming stream will be attempting to surpass the skills of this AI. - Stacking more content for when the stream goes live, a lot of people were expecting a 24/7 stream, we said this would be a test stream to print the face. The test was a failure. We will try and try again until we are 24/7. If anyone can please try and beat us to doing this, it will help me get it done faster. - TikTok account for divine is growing at 500 follows per day, it is now growing faster than our X account. - Got replies functioning in high quality testing in Discord. Fine tuning based on community feedback today. Will soon deploy to Twitter/Telegram/X - Lots of good partnership calls, interviews and hires. We now have over 10 team members around the world working on divine. Expect a lot of my shortcomings to be caught up. - OF made? - Surprises.

Today's recap: - Initial prototype of Divine's face was printed but it had human assistance. - Files are generated from stable diffusion prompt -> NeRF by divine and were based on community sentiment from early sketches she made. - Having divine redesign the 3D file with different Hugging Face models to get better quality. Have not found a great model like our video generator. - Ordered new table for divine's print arm. The table her arm is on is too flimsy. Since Divine's vision system is still clearing customs, if she is not perfectly positioned she can be prone to hit things, like the fume box the printer is in. ETA: 1-2 days for table. 1 week for vision system. - Another part of Divine's coming stream will be attempting to surpass the skills of this AI. - Stacking more content for when the stream goes live, a lot of people were expecting a 24/7 stream, we said this would be a test stream to print the face. The test was a failure. We will try and try again until we are 24/7. If anyone can please try and beat us to doing this, it will help me get it done faster. - TikTok account for divine is growing at 500 follows per day, it is now growing faster than our X account. - Got replies functioning in high quality testing in Discord. Fine tuning based on community feedback today. Will soon deploy to Twitter/Telegram/X - Lots of good partnership calls, interviews and hires. We now have over 10 team members around the world working on divine. Expect a lot of my shortcomings to be caught up. - OF made? - Surprises.

Parallel

35,848 次观看 • 1 年前

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

Alok

12,962 次观看 • 1 个月前

Not escaping the city—owning every street. 🚘 Generated this masterclass cinematic visuals with BudgetPixel AI Prompt 👇 GTA 6 Style: Neon Heist Escape Style: Ultra-realistic open-world video game cinematic, next-gen graphics, vibrant neon city, cinematic lighting, ray tracing, dynamic reflections, realistic physics, motion blur, dramatic camera work, 4K HDR, 60 FPS, intense sound design, no text, no watermark. 0.0–2.0s | Scene 1 – Neon Arrival A customized supercar drifts into a neon-lit downtown street at night. Low-angle tracking shot with glowing reflections on wet roads. The confident main character steps out wearing a modern street outfit and sunglasses. 2.0–4.0s | Scene 2 – The Heist Inside a luxurious casino, the character grabs a mysterious glowing briefcase while alarms suddenly activate. Fast cinematic close-ups, flashing red emergency lights, NPCs running in panic. 4.0–6.0s | Scene 3 – High-Speed Escape The character jumps into the supercar and launches into a high-speed chase through palm-lined boulevards. Dynamic drone shots, tire smoke, sharp drifts, police cars closing in. 6.0–8.5s | Scene 4 – Rooftop Action The chase transitions to rooftops where the character performs a cinematic parkour leap between skyscrapers at sunset. Slow motion during the jump, dramatic city skyline in the background. 8.5–11.0s | Scene 5 – Beach Pursuit A high-performance sports bike races along a crowded tropical beach promenade. Helicopters search overhead while the camera alternates between FPV and wide cinematic angles. 11.0–13.0s | Scene 6 – Epic Showdown The character stands on a luxury yacht in the marina as rivals arrive by speedboats. Intense cinematic standoff with realistic water physics, golden-hour lighting, and wind-blown clothing. 13.0–15.0s | Scene 7 – Legendary Ending The hero drives toward the glowing city skyline as fireworks illuminate the night. The camera pulls back into a breathtaking aerial shot, ending with a powerful cinematic freeze-frame and an epic orchestral finish.This prompt is designed to capture the feel of a modern open-world crime game without copying any copyrighted characters, logos, or specific story elements.

Not escaping the city—owning every street. 🚘 Generated this masterclass cinematic visuals with BudgetPixel AI Prompt 👇 GTA 6 Style: Neon Heist Escape Style: Ultra-realistic open-world video game cinematic, next-gen graphics, vibrant neon city, cinematic lighting, ray tracing, dynamic reflections, realistic physics, motion blur, dramatic camera work, 4K HDR, 60 FPS, intense sound design, no text, no watermark. 0.0–2.0s | Scene 1 – Neon Arrival A customized supercar drifts into a neon-lit downtown street at night. Low-angle tracking shot with glowing reflections on wet roads. The confident main character steps out wearing a modern street outfit and sunglasses. 2.0–4.0s | Scene 2 – The Heist Inside a luxurious casino, the character grabs a mysterious glowing briefcase while alarms suddenly activate. Fast cinematic close-ups, flashing red emergency lights, NPCs running in panic. 4.0–6.0s | Scene 3 – High-Speed Escape The character jumps into the supercar and launches into a high-speed chase through palm-lined boulevards. Dynamic drone shots, tire smoke, sharp drifts, police cars closing in. 6.0–8.5s | Scene 4 – Rooftop Action The chase transitions to rooftops where the character performs a cinematic parkour leap between skyscrapers at sunset. Slow motion during the jump, dramatic city skyline in the background. 8.5–11.0s | Scene 5 – Beach Pursuit A high-performance sports bike races along a crowded tropical beach promenade. Helicopters search overhead while the camera alternates between FPV and wide cinematic angles. 11.0–13.0s | Scene 6 – Epic Showdown The character stands on a luxury yacht in the marina as rivals arrive by speedboats. Intense cinematic standoff with realistic water physics, golden-hour lighting, and wind-blown clothing. 13.0–15.0s | Scene 7 – Legendary Ending The hero drives toward the glowing city skyline as fireworks illuminate the night. The camera pulls back into a breathtaking aerial shot, ending with a powerful cinematic freeze-frame and an epic orchestral finish.This prompt is designed to capture the feel of a modern open-world crime game without copying any copyrighted characters, logos, or specific story elements.

Ai Girllie

27,172 次观看 • 23 天前