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𝗔𝗴𝗻𝗲𝘀 𝟮.𝟱 𝗙𝗹𝗮𝘀𝗵 𝐯𝐬 𝐆𝐏𝐓 𝟓.𝟓-𝐈𝐧𝐬𝐭𝐚𝐧𝐭 𝐯𝐬 𝐆𝐞𝐦𝐢𝐧𝐢 𝟑.𝟓 𝐅𝐥𝐚𝐬𝐡 𝐯𝐬 𝐂𝐥𝐚𝐮𝐝𝐞 𝐒𝐨𝐧𝐧𝐞𝐭 𝟒.𝟔 One prompt. Four models. The exact same interactive Particle Gravity Playground challenge. No manual edits. No retries. Watch the results and decide for yourself. Build with Agnes.

Agnes AI

3,480 subscribers

143,591 次观看 • 1 个月前 •via X (Twitter)

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Introducing Faceless Clipping Channel, a fully autonomous content business powered by agents on Naive. One prompt unlocks an entire AI driven short form media machine that runs end to end without human input: •Continuously researches your niche and detects emerging trends •Ingests long-form content and identifies high-performing moments •Scores and selects clips with the highest viral potential •Auto-edits for TikTok, Reels, and YouTube Shorts in platform-ready format •Learns from performance data and optimizes for compounding reach. No cameras, no editing, no hiring, no manual workflow. Just launch a prompt and watch a faceless media empire scale itself. naïve

Introducing Faceless Clipping Channel, a fully autonomous content business powered by agents on Naive. One prompt unlocks an entire AI driven short form media machine that runs end to end without human input: •Continuously researches your niche and detects emerging trends •Ingests long-form content and identifies high-performing moments •Scores and selects clips with the highest viral potential •Auto-edits for TikTok, Reels, and YouTube Shorts in platform-ready format •Learns from performance data and optimizes for compounding reach. No cameras, no editing, no hiring, no manual workflow. Just launch a prompt and watch a faceless media empire scale itself. naïve

Leonardo

26,053 次观看 • 2 个月前

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.

Sudo su

132,605 次观看 • 4 个月前

SHE CHARGES $7500 FOR A SITE YOU CONTROL BY WAVING AT YOUR WEBCAM no mouse, no scroll, no clicking anything, the camera tracks your hand and the whole site responds as you move it through the air how she built it: render the base clip in seedance 2 open replit and attach your design reference tell it to wire hand tracking with mediapipe map the hand position to the video in a single prompt still in the same chat, switch it to slide mode or a scroll transform whenever you want she never wrote one line of the tracking code, replit stood up the entire gesture layer from that one instruction meanwhile your local dev still thinks interactive means a button that lights up when the cursor grazes it the exact mediapipe prompt is in the guide below, save it before this becomes the standard

SHE CHARGES $7500 FOR A SITE YOU CONTROL BY WAVING AT YOUR WEBCAM no mouse, no scroll, no clicking anything, the camera tracks your hand and the whole site responds as you move it through the air how she built it: render the base clip in seedance 2 open replit and attach your design reference tell it to wire hand tracking with mediapipe map the hand position to the video in a single prompt still in the same chat, switch it to slide mode or a scroll transform whenever you want she never wrote one line of the tracking code, replit stood up the entire gesture layer from that one instruction meanwhile your local dev still thinks interactive means a button that lights up when the cursor grazes it the exact mediapipe prompt is in the guide below, save it before this becomes the standard

Bounce

59,981 次观看 • 1 个月前

RECORDING A DEMO USED TO EAT UP MY AFTERNOONS. NOW A TEAM OF AGENTS DOES IT WHILE I SLEEP before, every video was the same manual loop: build the set, record, something moves wrong, start over. a feature took days to write and the video took just as long as it did two years ago. what changed it wasn't teaching a model to "watch" video. it was ceasing to ask it to think in a medium it can't read, and giving it the same job it already does with code: text and config. → I decide the story, and it gets locked into a brief → one agent builds the set (config, not manual clicks) → another records inside the real product, not a mockup → a third reviews with evidence (contact sheets, transcript, timing), not opinion → I only see the final cut and say yes or no I requested five videos the same night and there was no queue: production is a role that gets cloned, not a person you have to wait on. the bottleneck is no longer recording, it's me. and I prefer it that way. link below ;)

RECORDING A DEMO USED TO EAT UP MY AFTERNOONS. NOW A TEAM OF AGENTS DOES IT WHILE I SLEEP before, every video was the same manual loop: build the set, record, something moves wrong, start over. a feature took days to write and the video took just as long as it did two years ago. what changed it wasn't teaching a model to "watch" video. it was ceasing to ask it to think in a medium it can't read, and giving it the same job it already does with code: text and config. → I decide the story, and it gets locked into a brief → one agent builds the set (config, not manual clicks) → another records inside the real product, not a mockup → a third reviews with evidence (contact sheets, transcript, timing), not opinion → I only see the final cut and say yes or no I requested five videos the same night and there was no queue: production is a role that gets cloned, not a person you have to wait on. the bottleneck is no longer recording, it's me. and I prefer it that way. link below ;)

marcus

56,485 次观看 • 26 天前

🚨 do you understand what this AMD engineer just proved on camera watch the clip, it’s all there in one frame: llama.cpp slot logs on the left, nvitop showing 79% GPU util holding steady, localhost chat answering a 26k token prompt at 711 tok/s prompt eval, the gemma-4-12B Q4_K_XL gguf running clean. no cloud call, no api key, no censorship layer. for 2 years the rule was: frontier models need the cloud, local is too slow for real work, pay $200/month and wait for tokens. today a $1,800 lunch box runs qwen 3 235B at 11 tok/s with zero data leaving the room, and the same box runs gemma 4 12B with multi token prediction at 14+ tok/s on 30k context with no throttling. $440/month subscription stack: dead. $200/month claude tier: dead. local is too slow excuse: dead. one lunch box. $9/month in electricity. two moats buried in one week. the you need the cloud line wasn’t protecting users it was protecting the subscription.

🚨 do you understand what this AMD engineer just proved on camera watch the clip, it’s all there in one frame: llama.cpp slot logs on the left, nvitop showing 79% GPU util holding steady, localhost chat answering a 26k token prompt at 711 tok/s prompt eval, the gemma-4-12B Q4_K_XL gguf running clean. no cloud call, no api key, no censorship layer. for 2 years the rule was: frontier models need the cloud, local is too slow for real work, pay $200/month and wait for tokens. today a $1,800 lunch box runs qwen 3 235B at 11 tok/s with zero data leaving the room, and the same box runs gemma 4 12B with multi token prediction at 14+ tok/s on 30k context with no throttling. $440/month subscription stack: dead. $200/month claude tier: dead. local is too slow excuse: dead. one lunch box. $9/month in electricity. two moats buried in one week. the you need the cloud line wasn’t protecting users it was protecting the subscription.

AdiiX

22,223 次观看 • 2 个月前

EVERY GIRL IN THIS LINE HAS A NUMBER PINNED TO HER DRESS. ONE ROOM, ONE NIGHT, ONE TABLE EACH. A FOLDER ON A LAPTOP RUNS THE IDENTICAL BUSINESS WITH NO ROOM AND NO CEILING. HERE IS THE ENGINE. the number is the tell. she is not being introduced, she is being indexed. you pick by digit. and this room has physics. one girl sits at one table. the venue holds what it holds. the night ends at 2am. the model caps out and everybody in it knows the number. the persona build sells the exact same thing and deletes all three limits. one character, three thousand simultaneous conversations, no shift, no travel, no room. nothing about the mechanic changed. scarcity, selection, attention that stops the moment you stop paying. ai did not invent any of that. it removed the walls. and here is the part operators actually copy from rooms like this. never present one option. present a row. the choosing is the product. that is why persona accounts post the same girl in four different looks and ask which one, and why the comment section does the selling for them. the room caps at twenty girls and one night. the folder does not cap at all. full template in the article below. 5 phases, every setting, every number.

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EVERY GIRL IN THIS LINE HAS A NUMBER PINNED TO HER DRESS. ONE ROOM, ONE NIGHT, ONE TABLE EACH. A FOLDER ON A LAPTOP RUNS THE IDENTICAL BUSINESS WITH NO ROOM AND NO CEILING. HERE IS THE ENGINE. the number is the tell. she is not being introduced, she is being indexed. you pick by digit. and this room has physics. one girl sits at one table. the venue holds what it holds. the night ends at 2am. the model caps out and everybody in it knows the number. the persona build sells the exact same thing and deletes all three limits. one character, three thousand simultaneous conversations, no shift, no travel, no room. nothing about the mechanic changed. scarcity, selection, attention that stops the moment you stop paying. ai did not invent any of that. it removed the walls. and here is the part operators actually copy from rooms like this. never present one option. present a row. the choosing is the product. that is why persona accounts post the same girl in four different looks and ask which one, and why the comment section does the selling for them. the room caps at twenty girls and one night. the folder does not cap at all. full template in the article below. 5 phases, every setting, every number.

CRYPTANSKY

2,782,200 次观看 • 1 个月前

i watched gemma 4 12b build something genuinely impressive today, and then loop itself to death right in front of me. the full run is in the video, sped up but completely uncut, watch it to the end and you will catch the exact moment it stops building and starts looping right in the middle of the work. the task was clean, build a single file gravity simulator, n-body physics, orbits, collisions, running locally on one 3090 through an agent. and for ten minutes it was a joy to watch. it reached for a symplectic integrator on its own, the correct one, the kind that keeps orbits stable instead of spiralling out. real gravity with softening, proper orbital velocities, momentum conserved on collision. the physics was right. the thing actually worked. then on the very last step, writing a few tests to prove its own code, it fell into a loop. not a crash, a loop. it started repeating itself and would not stop. ten more minutes, thirty four thousand tokens into a single answer, the same fragments over and over, until i killed it myself. so it's not that gemma can't code. it did the hard part beautifully. it cannot finish. it cannot hold a long task together without unravelling, and finishing is the entire job in agentic work. here's the part that stings. i run this exact task, same harness, same card, on the chinese open models, qwen especially, and i never see this. they build it, they test it, they stop. every single time. google has the raw capability, you can see it sitting right there in the code, and then the model loops itself to death on a task a 27b from alibaba finishes clean. open weights, apache 2.0, so much to love on paper. i just need it to know when to stop talking.

i watched gemma 4 12b build something genuinely impressive today, and then loop itself to death right in front of me. the full run is in the video, sped up but completely uncut, watch it to the end and you will catch the exact moment it stops building and starts looping right in the middle of the work. the task was clean, build a single file gravity simulator, n-body physics, orbits, collisions, running locally on one 3090 through an agent. and for ten minutes it was a joy to watch. it reached for a symplectic integrator on its own, the correct one, the kind that keeps orbits stable instead of spiralling out. real gravity with softening, proper orbital velocities, momentum conserved on collision. the physics was right. the thing actually worked. then on the very last step, writing a few tests to prove its own code, it fell into a loop. not a crash, a loop. it started repeating itself and would not stop. ten more minutes, thirty four thousand tokens into a single answer, the same fragments over and over, until i killed it myself. so it's not that gemma can't code. it did the hard part beautifully. it cannot finish. it cannot hold a long task together without unravelling, and finishing is the entire job in agentic work. here's the part that stings. i run this exact task, same harness, same card, on the chinese open models, qwen especially, and i never see this. they build it, they test it, they stop. every single time. google has the raw capability, you can see it sitting right there in the code, and then the model loops itself to death on a task a 27b from alibaba finishes clean. open weights, apache 2.0, so much to love on paper. i just need it to know when to stop talking.

Sudo su

39,719 次观看 • 2 个月前

A girl is making $18,000 a month from one YouTube channel. No face. No camera. No editing software. Her entire workflow fits inside a phone screen. She opens YouTube Kids, finds what babies and toddlers are rewatching on loop that week. That is her research. Takes maybe five minutes. The concept goes straight into Claude. Back comes a full creative direction character personality, movement style, color palette, the exact mood that makes small children stop everything and stare. She takes that into Kling 3.0. One prompt. The video renders itself. Bright, fluid, perfectly animated. The kind of content that makes a toddler grab the tablet with both hands. Posts it to YouTube. Algorithm picks it up within hours. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it to the next household. Then the next. The loop runs without her. $18,000 last month. One channel. One workflow. Twenty minutes per video. She never appears on screen. Never records a single second of footage. Never opens a laptop. Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and an upload button. One channel. Four steps. $18,000. Save this before every girl with a phone and 20 minutes figures out the same thing.

A girl is making $18,000 a month from one YouTube channel. No face. No camera. No editing software. Her entire workflow fits inside a phone screen. She opens YouTube Kids, finds what babies and toddlers are rewatching on loop that week. That is her research. Takes maybe five minutes. The concept goes straight into Claude. Back comes a full creative direction character personality, movement style, color palette, the exact mood that makes small children stop everything and stare. She takes that into Kling 3.0. One prompt. The video renders itself. Bright, fluid, perfectly animated. The kind of content that makes a toddler grab the tablet with both hands. Posts it to YouTube. Algorithm picks it up within hours. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it to the next household. Then the next. The loop runs without her. $18,000 last month. One channel. One workflow. Twenty minutes per video. She never appears on screen. Never records a single second of footage. Never opens a laptop. Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and an upload button. One channel. Four steps. $18,000. Save this before every girl with a phone and 20 minutes figures out the same thing.

Shelpid.WI3M

33,838 次观看 • 3 个月前

SOMEONE IS CHARGING $5,000/MONTH FOR SOCIAL MEDIA CONTENT THAT CLAUDE WRITES IN 6 HOURS A WEEK no team, no office, just Claude and a scheduling app mid-market companies pay $2,000-$5,000 per month for social media management, and most of them are getting a junior freelancer posting generic content or an agency that barely touches their account one of them runs the whole thing in a weekly workflow: brief Claude on Monday, write posts Tuesday and Wednesday, schedule Thursday, pull numbers Friday another one charged three clients the same $5,000 rate before hiring a single person, that's $180,000/year running on one tool there's a prompt that makes Claude write every post in the client's exact voice by analyzing 5 examples of their existing content, 10 min per post instead of 60 you can land the first client with one outreach message, no portfolio, no case studies, just a specific offer and a 30-minute call the model is already working, the only question is whether you build it or watch someone else do it full breakdown of the workflow, the prompts, and how to find clients in the article below

SOMEONE IS CHARGING $5,000/MONTH FOR SOCIAL MEDIA CONTENT THAT CLAUDE WRITES IN 6 HOURS A WEEK no team, no office, just Claude and a scheduling app mid-market companies pay $2,000-$5,000 per month for social media management, and most of them are getting a junior freelancer posting generic content or an agency that barely touches their account one of them runs the whole thing in a weekly workflow: brief Claude on Monday, write posts Tuesday and Wednesday, schedule Thursday, pull numbers Friday another one charged three clients the same $5,000 rate before hiring a single person, that's $180,000/year running on one tool there's a prompt that makes Claude write every post in the client's exact voice by analyzing 5 examples of their existing content, 10 min per post instead of 60 you can land the first client with one outreach message, no portfolio, no case studies, just a specific offer and a 30-minute call the model is already working, the only question is whether you build it or watch someone else do it full breakdown of the workflow, the prompts, and how to find clients in the article below

Chrome

13,769 次观看 • 3 个月前

🚨 Carney’s Playbook EXPOSED — in his own words. At the Bank of England he was caught red-handed: Set ONE clear target (employment) → Hit it quickly → Then suddenly invented 18 new goalposts → Killed “explicit guidance” and replaced it with “fuzzy guidance.” This isn’t complicated economics. This is how you claim victory while the public can no longer measure success or failure. The same guy who moved the goalposts in Britain now wants to run Canada. Canadians, pay attention. This is the pattern. And it’s coming here. Watch the clip and decide for yourself. #MarkCarney #CarneyPlaybook #cdnpoli #LiberalFail #CanadaFirst

🚨 Carney’s Playbook EXPOSED — in his own words. At the Bank of England he was caught red-handed: Set ONE clear target (employment) → Hit it quickly → Then suddenly invented 18 new goalposts → Killed “explicit guidance” and replaced it with “fuzzy guidance.” This isn’t complicated economics. This is how you claim victory while the public can no longer measure success or failure. The same guy who moved the goalposts in Britain now wants to run Canada. Canadians, pay attention. This is the pattern. And it’s coming here. Watch the clip and decide for yourself. #MarkCarney #CarneyPlaybook #cdnpoli #LiberalFail #CanadaFirst

JayGen 𝕏 er🇨🇦

45,745 次观看 • 2 个月前

🚨The Fall of Atlantis and the Question Nobody Wants to Touch Every ancient civilization leaves ruins, but some ruins feel like warnings. The clip you’re about to watch is about a recurring pattern in human history. A rise… a collapse… and a layer of technology or engineering that doesn’t match the culture we’re told built it. Pyramids aligned to true north with machine level precision, and stone blocks that modern cranes can’t lift, built by builders who supposedly had no wheels, no metallurgy, and no advanced math… yet left behind feats we can’t reverse engineer without lasers and CAD software. So here’s the question the mainstream keeps avoiding... If Atlantis fell who were the engineers, and why does the same fingerprint appear at Giza, Gobekli Tepe, Stonehenge, Sacsayhuaman, Baalbek, Puma Punku… and underwater ruins across the planet? Either humanity forgot something, or someone else helped build it. Watch the clip and decide for yourself. #Atlantis #AncientTech #Pyramids #LostCivilizations #Archaeology #UAP #ForbiddenHistory #Stonehenge #AncientMysteries #Disclosure

🚨The Fall of Atlantis and the Question Nobody Wants to Touch Every ancient civilization leaves ruins, but some ruins feel like warnings. The clip you’re about to watch is about a recurring pattern in human history. A rise… a collapse… and a layer of technology or engineering that doesn’t match the culture we’re told built it. Pyramids aligned to true north with machine level precision, and stone blocks that modern cranes can’t lift, built by builders who supposedly had no wheels, no metallurgy, and no advanced math… yet left behind feats we can’t reverse engineer without lasers and CAD software. So here’s the question the mainstream keeps avoiding... If Atlantis fell who were the engineers, and why does the same fingerprint appear at Giza, Gobekli Tepe, Stonehenge, Sacsayhuaman, Baalbek, Puma Punku… and underwater ruins across the planet? Either humanity forgot something, or someone else helped build it. Watch the clip and decide for yourself. #Atlantis #AncientTech #Pyramids #LostCivilizations #Archaeology #UAP #ForbiddenHistory #Stonehenge #AncientMysteries #Disclosure

Skywatch Signal

41,747 次观看 • 9 个月前

Sora 2 + n8n is an absolute cheat code for AI UGC 🤯 One Airtable form generates multiple videos with the exact same AI creator. Same face, same vibe. Every single clip. All inside n8n + Airtable. Perfect for DTC brands and agencies who need consistent AI creators across entire ad campaigns. You're trying to test 10 different hooks with the same AI "creator", but every time you prompt Sora 2 manually, you get a different person in every video. And even when you nail consistency, you're still downloading, organizing, and tracking everything by hand. This n8n automation handles all of it: → Fill out one Airtable form (character, scene, video count) → Claude auto-generates detailed Sora 2 prompts → Sora 2 creates videos with your consistent character cameo → Videos auto-upload to ImageKit → Everything lands in Airtable with shareable URLs No Frankenstein characters, manual prompting, or file management nightmare. What you get: > Multiple videos with the exact same AI creator > UGC-style formatting (selfie angles, natural delivery) > Full status tracking in Airtable (queued → generating → complete) > Production-ready clips in minutes Built 100% in n8n + Airtable. Want the full workflow for free? > Like this post > Comment "SORA" And I'll send it over (must be following so I can DM)

Sora 2 + n8n is an absolute cheat code for AI UGC 🤯 One Airtable form generates multiple videos with the exact same AI creator. Same face, same vibe. Every single clip. All inside n8n + Airtable. Perfect for DTC brands and agencies who need consistent AI creators across entire ad campaigns. You're trying to test 10 different hooks with the same AI "creator", but every time you prompt Sora 2 manually, you get a different person in every video. And even when you nail consistency, you're still downloading, organizing, and tracking everything by hand. This n8n automation handles all of it: → Fill out one Airtable form (character, scene, video count) → Claude auto-generates detailed Sora 2 prompts → Sora 2 creates videos with your consistent character cameo → Videos auto-upload to ImageKit → Everything lands in Airtable with shareable URLs No Frankenstein characters, manual prompting, or file management nightmare. What you get: > Multiple videos with the exact same AI creator > UGC-style formatting (selfie angles, natural delivery) > Full status tracking in Airtable (queued → generating → complete) > Production-ready clips in minutes Built 100% in n8n + Airtable. Want the full workflow for free? > Like this post > Comment "SORA" And I'll send it over (must be following so I can DM)

Mike Futia

12,159 次观看 • 7 个月前

A guy is making $500 a day posting AI baby videos on YouTube. He scrolls YouTube Kids, finds whatever baby video is getting the most traction that week, and that's his research done. Drops the concept into Claude. Gets back a full creative direction character description, movement style, mood, everything. Takes that output straight into Kling 3.0. One prompt. One click. A smooth, bright, perfectly animated baby video renders in minutes. No downloading. No editing timeline. No software to learn. Posts it to YouTube. Algorithm picks it up. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it harder. The loop runs itself. $500 a day from videos that take him 20 minutes to make. He never appears on screen. Never records anything. Never leaves the apps. Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and a upload button. Four steps. Twenty minutes. $500. Save this before every parent with a phone figures out the same thing.

A guy is making $500 a day posting AI baby videos on YouTube. He scrolls YouTube Kids, finds whatever baby video is getting the most traction that week, and that's his research done. Drops the concept into Claude. Gets back a full creative direction character description, movement style, mood, everything. Takes that output straight into Kling 3.0. One prompt. One click. A smooth, bright, perfectly animated baby video renders in minutes. No downloading. No editing timeline. No software to learn. Posts it to YouTube. Algorithm picks it up. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it harder. The loop runs itself. $500 a day from videos that take him 20 minutes to make. He never appears on screen. Never records anything. Never leaves the apps. Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and a upload button. Four steps. Twenty minutes. $500. Save this before every parent with a phone figures out the same thing.

Shelpid.WI3M

242,402 次观看 • 3 个月前

THIS ISN’T ABOUT AI. IT’S ABOUT POWER. The Pentagon just blacklisted one of America’s most valuable AI companies. Why? Because it refused to build surveillance tools targeting American citizens. Hours later… OpenAI signed what’s being called the deal of the decade with the Department of Defense. Here’s the twist. Anthropic said: • No mass surveillance • No fully autonomous weapons without a human in control The Pentagon labeled them a “supply chain risk.” Federal agencies were told to stop using them immediately. That same night, Sam Altman announced OpenAI had reached an agreement to deploy its models inside the Pentagon’s classified network. And guess what? OpenAI’s deal includes the exact same conditions. No mass surveillance. No autonomous weapons. Human oversight required. So one company was punished for demanding guardrails. Another was rewarded with those same guardrails in place. If mass surveillance was never the intention… why was that the line that triggered a blacklist? This isn’t just an AI story. It’s about who gets access to power. Who gets replaced. And how fast alliances shift when billions and national security are involved. #anthropic #openai #ai #pentagon #trump

THIS ISN’T ABOUT AI. IT’S ABOUT POWER. The Pentagon just blacklisted one of America’s most valuable AI companies. Why? Because it refused to build surveillance tools targeting American citizens. Hours later… OpenAI signed what’s being called the deal of the decade with the Department of Defense. Here’s the twist. Anthropic said: • No mass surveillance • No fully autonomous weapons without a human in control The Pentagon labeled them a “supply chain risk.” Federal agencies were told to stop using them immediately. That same night, Sam Altman announced OpenAI had reached an agreement to deploy its models inside the Pentagon’s classified network. And guess what? OpenAI’s deal includes the exact same conditions. No mass surveillance. No autonomous weapons. Human oversight required. So one company was punished for demanding guardrails. Another was rewarded with those same guardrails in place. If mass surveillance was never the intention… why was that the line that triggered a blacklist? This isn’t just an AI story. It’s about who gets access to power. Who gets replaced. And how fast alliances shift when billions and national security are involved. #anthropic #openai #ai #pentagon #trump

CryptoWala

29,229 次观看 • 6 个月前

$Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.$

Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.

Kid Pak

58,537 次观看 • 3 个月前

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

Sprytix

153,690 次观看 • 1 个月前

One of the world’s most respected vaccine experts—Dr. Kathryn Edwards, co-author of the bible of vaccinology “Plotkin on Vaccines” and the scientist who personally ran many of the pivotal trials that got childhood vaccines licensed—was hired to testify under oath that vaccines do NOT cause autism. Aaron Siri asked her a simple question for each vaccine on the schedule: “Can you show me the study proving DTaP doesn’t cause autism?” → No study “Hep B?” → No study “HiB?” → No study “Prevnar?” → No study “Varicella?” → No study “Were the original licensing trials even designed to detect autism as a possible outcome?” → No Her exact words when pressed: “You’ve badgered me into answering the way you want me to, but… No.” This is the same expert the entire “vaccines are exhaustively studied for autism” narrative rests on. She had one job in that deposition—and she couldn’t do it. Not one citation. Zero studies. Del Bigtree on The HighWire called it “one of the biggest mic-drop moments in vaccine history.” And now, just weeks after ICAN forced the CDC to admit in writing (as of November 2025) they have no studies showing vaccines are safe in pregnancy or don’t cause autism, this older testimony feels more seismic than ever. Watch the unedited exchange for yourself and decide. What does real scientific confidence look like to you? Drop your thoughts—respectful discussion only.

One of the world’s most respected vaccine experts—Dr. Kathryn Edwards, co-author of the bible of vaccinology “Plotkin on Vaccines” and the scientist who personally ran many of the pivotal trials that got childhood vaccines licensed—was hired to testify under oath that vaccines do NOT cause autism. Aaron Siri asked her a simple question for each vaccine on the schedule: “Can you show me the study proving DTaP doesn’t cause autism?” → No study “Hep B?” → No study “HiB?” → No study “Prevnar?” → No study “Varicella?” → No study “Were the original licensing trials even designed to detect autism as a possible outcome?” → No Her exact words when pressed: “You’ve badgered me into answering the way you want me to, but… No.” This is the same expert the entire “vaccines are exhaustively studied for autism” narrative rests on. She had one job in that deposition—and she couldn’t do it. Not one citation. Zero studies. Del Bigtree on The HighWire called it “one of the biggest mic-drop moments in vaccine history.” And now, just weeks after ICAN forced the CDC to admit in writing (as of November 2025) they have no studies showing vaccines are safe in pregnancy or don’t cause autism, this older testimony feels more seismic than ever. Watch the unedited exchange for yourself and decide. What does real scientific confidence look like to you? Drop your thoughts—respectful discussion only.

Camus

70,348 次观看 • 9 个月前

Sora 2 Cameos + n8n is an absolute cheat code 🤯 This n8n automation generates multiple UGC videos featuring the same AI creator, from a single Airtable form. Fully automated. Same character across every video. Perfect for DTC brands & agencies who need consistent AI creators across entire campaigns. Here's the problem: You want to test 10 different hooks with the same AI "creator." But every time you prompt Sora 2 manually, the face changes. The vibe shifts. The "creator" looks like a different person in every video. And even when you nail the consistency, you're still downloading, organizing, and tracking everything by hand. This n8n automation handles all of it: → Fill out one Airtable form (character, scene, video count) → Claude auto-generates detailed Sora 2 prompts → Sora 2 creates videos with your consistent character cameo → Videos auto-upload to ImageKit → Everything delivered to Airtable with shareable URLs No manual prompting. No Frankenstein characters. No file management nightmare. What you get: - Multiple videos with the exact same AI creator - UGC-style formatting (selfie angles, natural delivery) - Full status tracking in Airtable (queued → generating → complete) - Production-ready clips in minutes Built 100% in n8n + Airtable. Want the full workflow? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Sora 2 Cameos + n8n is an absolute cheat code 🤯 This n8n automation generates multiple UGC videos featuring the same AI creator, from a single Airtable form. Fully automated. Same character across every video. Perfect for DTC brands & agencies who need consistent AI creators across entire campaigns. Here's the problem: You want to test 10 different hooks with the same AI "creator." But every time you prompt Sora 2 manually, the face changes. The vibe shifts. The "creator" looks like a different person in every video. And even when you nail the consistency, you're still downloading, organizing, and tracking everything by hand. This n8n automation handles all of it: → Fill out one Airtable form (character, scene, video count) → Claude auto-generates detailed Sora 2 prompts → Sora 2 creates videos with your consistent character cameo → Videos auto-upload to ImageKit → Everything delivered to Airtable with shareable URLs No manual prompting. No Frankenstein characters. No file management nightmare. What you get: - Multiple videos with the exact same AI creator - UGC-style formatting (selfie angles, natural delivery) - Full status tracking in Airtable (queued → generating → complete) - Production-ready clips in minutes Built 100% in n8n + Airtable. Want the full workflow? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

10,738 次观看 • 8 个月前

the tiebreaker is done. qwen 3.5 27B dense. single RTX 3090. one prompt. zero steering. zero human edits. 1,827 lines across 10 files. 13 minutes. full thinking mode. runs on first load. hermes 4.3 got the same prompt with 2x 3090s and 5x the context it needed. wrote 1,249 lines, left empty files, needed 3 interventions, game was broken on load. same architecture class. same quant. hermes got double the hardware. completely different result. dense wasn't the problem. hermes was. but here's what got me. this model thinks at 27 tok/s. every single token carries 27 billion parameters of reasoning. MoE hit 112 tok/s but only 3B active per token. the dense model is slower and it doesn't matter. watch 13 minutes of autonomous coding on a consumer GPU with zero intervention and tell me speed is what matters. a year ago this wasn't possible. now it runs on hardware you can buy used for $900. no API. no subscription. no cloud. just a 3090 doing what data centers did 18 months ago. full unedited session in the video. every token, every file, every thinking chain. 16 minutes. hit play.

the tiebreaker is done. qwen 3.5 27B dense. single RTX 3090. one prompt. zero steering. zero human edits. 1,827 lines across 10 files. 13 minutes. full thinking mode. runs on first load. hermes 4.3 got the same prompt with 2x 3090s and 5x the context it needed. wrote 1,249 lines, left empty files, needed 3 interventions, game was broken on load. same architecture class. same quant. hermes got double the hardware. completely different result. dense wasn't the problem. hermes was. but here's what got me. this model thinks at 27 tok/s. every single token carries 27 billion parameters of reasoning. MoE hit 112 tok/s but only 3B active per token. the dense model is slower and it doesn't matter. watch 13 minutes of autonomous coding on a consumer GPU with zero intervention and tell me speed is what matters. a year ago this wasn't possible. now it runs on hardware you can buy used for $900. no API. no subscription. no cloud. just a 3090 doing what data centers did 18 months ago. full unedited session in the video. every token, every file, every thinking chain. 16 minutes. hit play.

Sudo su

91,135 次观看 • 5 个月前