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Nav Toor

@heynavtoor • 141,540 subscribers

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> be Elon Musk > pledge $1 billion to save humanity from AI > give $38 million. leave. > watch it become an $852 billion company without you > sue for $134 billion > try to buy it for $97.4 billion > get told "no thanks we'll buy Twitter for $9.74B" > trial day arrives > stay home. post four tweets. misspell your co-founder's name. > the guy you tried to remove came back as CEO in 72 hours "here we are in 2026. AI is very smart." — Elon Musk, under oath. the full 11-year story. every email. every dollar. no spin.

> be Elon Musk > pledge $1 billion to save humanity from AI > give $38 million. leave. > watch it become an $852 billion company without you > sue for $134 billion > try to buy it for $97.4 billion > get told "no thanks we'll buy Twitter for $9.74B" > trial day arrives > stay home. post four tweets. misspell your co-founder's name. > the guy you tried to remove came back as CEO in 72 hours "here we are in 2026. AI is very smart." — Elon Musk, under oath. the full 11-year story. every email. every dollar. no spin.

2,085,412 views

> open Claude Cowork > write an email > close it > do the same thing next week > wonder why people say it's life-changing meanwhile: > /schedule — inbox triaged before I wake up. every morning. > /agents — sub-agent reviews every PR in my team's code style > custom skills folder — every output sounds like me, not Claude > .claude/ folder — hiring managers check this before your LinkedIn now 60 commands. most people use 6. I documented all of them. save this.

> open Claude Cowork > write an email > close it > do the same thing next week > wonder why people say it's life-changing meanwhile: > /schedule — inbox triaged before I wake up. every morning. > /agents — sub-agent reviews every PR in my team's code style > custom skills folder — every output sounds like me, not Claude > .claude/ folder — hiring managers check this before your LinkedIn now 60 commands. most people use 6. I documented all of them. save this.

400,668 views

🚨 One photo of your face. That's all someone needs to become you on a live video call. In real time. Right now. The tool is free and open source. It's called Deep-Live-Cam. One image. One click. You become anyone on a live webcam feed. No training. No datasets. No waiting. Instant. Your face. Your expressions. Your mouth movements. All stolen from a single photo. Here's what this thing does: → Upload one photo of any face → Turn on your webcam → You are now that person. Live. In real time. → It matches your pose, your expressions, even your lighting → Mouth masking so the swapped face moves its lips when you talk → Multi-face mapping. Swap different faces on different people in the same call. → Virtual camera output. Plug it into Zoom, Google Meet, Teams. Nobody knows. → Works on NVIDIA, AMD, Intel, and Apple Silicon Here's the part that should terrify you: Your boss could be on a Zoom call with someone wearing your face right now. A scammer could call your parents looking exactly like you. A stranger could take your LinkedIn photo and become you in a video meeting. IShowSpeed's reaction when he saw it: "What the F**! This shit is crazy!" SomeOrdinaryGamers: "That's fucking freaky dude... that's so wild." This was the #1 trending repo on GitHub the day it launched. 1,600 stars in 24 hours. 80K+ stars today. No one is ready for what this means. And it's already out there. 100% Open Source.

🚨 One photo of your face. That's all someone needs to become you on a live video call. In real time. Right now. The tool is free and open source. It's called Deep-Live-Cam. One image. One click. You become anyone on a live webcam feed. No training. No datasets. No waiting. Instant. Your face. Your expressions. Your mouth movements. All stolen from a single photo. Here's what this thing does: → Upload one photo of any face → Turn on your webcam → You are now that person. Live. In real time. → It matches your pose, your expressions, even your lighting → Mouth masking so the swapped face moves its lips when you talk → Multi-face mapping. Swap different faces on different people in the same call. → Virtual camera output. Plug it into Zoom, Google Meet, Teams. Nobody knows. → Works on NVIDIA, AMD, Intel, and Apple Silicon Here's the part that should terrify you: Your boss could be on a Zoom call with someone wearing your face right now. A scammer could call your parents looking exactly like you. A stranger could take your LinkedIn photo and become you in a video meeting. IShowSpeed's reaction when he saw it: "What the F**! This shit is crazy!" SomeOrdinaryGamers: "That's fucking freaky dude... that's so wild." This was the #1 trending repo on GitHub the day it launched. 1,600 stars in 24 hours. 80K+ stars today. No one is ready for what this means. And it's already out there. 100% Open Source.

300,779 views

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

62,204 views

🚨 Perplexity dropped "Computer" and nobody is talking about it. An AI system that runs 19 models at once and builds entire projects by itself. It researches, designs, codes, and deploys live websites in minutes. No subscriptions to 5 different tools. No switching tabs. Here's how to use it:

🚨 Perplexity dropped "Computer" and nobody is talking about it. An AI system that runs 19 models at once and builds entire projects by itself. It researches, designs, codes, and deploys live websites in minutes. No subscriptions to 5 different tools. No switching tabs. Here's how to use it:

33,583 views

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SOME GUY BUILT A 24/7 ONLINE RAVE IN YOUR BROWSER AND IT IS COMPLETELY FREE TO ATTEND it's called Hallucinate. you click one link, your browser loads a 3D field at night, and suddenly you are standing in a crowd of hundreds of low-poly strangers dancing under a moon to a youtube video playing on a giant screen. there is no login. there is no wallet. there is no signup. you are just at the rave. the rave has its own keyboard. > 7 and 8 cycle your hair color > 9 and 0 cycle your skin tone > U and I cycle your hair style > L and ; cycle your dance moves > V is the wave emote > B is the bounce emote > SPACE bar is literally labeled "speak" every other person in the room is a real human pressing the same keys, in real time. nobody ever stops dancing because the creator wrote on hacker news: "everybody dancing forever is crucial for the feeling. you don't stop dancing in a rave." the dev who made it goes by the handle stagas. he says the entire thing was "vibe coded in its entirety" by an LLM. the commit messages on the repo are three words long: "cool." "jump jump." "perf." he has about 500 other repos on his github account. the post went up on Show HN two days ago. it is currently sitting at 435 points and 193 comments and the top discussion in the thread is people arguing whether magic numbers in shaders.ts disqualify you from getting a job. we built the global internet so that two strangers across the planet could fall in love or trade stocks or topple regimes. and the very best thing happening on it right now is a thousand cubes dancing forever under a fake moon. the internet is healing.

SOME GUY BUILT A 24/7 ONLINE RAVE IN YOUR BROWSER AND IT IS COMPLETELY FREE TO ATTEND it's called Hallucinate. you click one link, your browser loads a 3D field at night, and suddenly you are standing in a crowd of hundreds of low-poly strangers dancing under a moon to a youtube video playing on a giant screen. there is no login. there is no wallet. there is no signup. you are just at the rave. the rave has its own keyboard. > 7 and 8 cycle your hair color > 9 and 0 cycle your skin tone > U and I cycle your hair style > L and ; cycle your dance moves > V is the wave emote > B is the bounce emote > SPACE bar is literally labeled "speak" every other person in the room is a real human pressing the same keys, in real time. nobody ever stops dancing because the creator wrote on hacker news: "everybody dancing forever is crucial for the feeling. you don't stop dancing in a rave." the dev who made it goes by the handle stagas. he says the entire thing was "vibe coded in its entirety" by an LLM. the commit messages on the repo are three words long: "cool." "jump jump." "perf." he has about 500 other repos on his github account. the post went up on Show HN two days ago. it is currently sitting at 435 points and 193 comments and the top discussion in the thread is people arguing whether magic numbers in shaders.ts disqualify you from getting a job. we built the global internet so that two strangers across the planet could fall in love or trade stocks or topple regimes. and the very best thing happening on it right now is a thousand cubes dancing forever under a fake moon. the internet is healing.

246,152 views • 6 days ago

Hollywood has a dirty secret. That perfectly clean green screen shot in your favorite Marvel movie? A human being sat in a dark room for 6 hours fixing it frame by frame. The AI keyer got the body. A person painted every strand of hair. By hand. At 2 AM. For 400 frames. The software costs $5,000 a year. And it still cannot key hair. Nuke: $4,988/year. Cannot key hair in motion blur. After Effects: $264/year. Cannot key transparent glass. Boris FX: $1,865. Cannot key fine edges without haloing. The industry's solution for 30 years has been the same: pay for expensive software, then pay a human to fix what the software couldn't. The YouTubers behind Corridor Crew looked at this and asked a different question. What if the AI didn't try to remove the green? What if it figured out what color was actually there before the green contaminated it? They trained a neural network on synthetic 3D data. Not scraped footage. Not stolen clips. Perfectly rendered scenes where every pixel's true color was already known. Hair strands. Motion blur. Transparent glass. All simulated with known ground truth. Then they fed it real green screen footage. It worked. They called it CorridorKey. Then they open sourced it. → Feed it raw green screen footage → AI reconstructs the true foreground color for every pixel → Hair stays perfect. Every strand. → Motion blur stays intact. Every frame. → Transparent glass stays transparent. → 16-bit and 32-bit EXR output. Nuke-ready. Resolve-ready. → Handles 4K natively → Runs on consumer GPUs. 6 GB VRAM minimum. → Runs on Apple Silicon via MLX → Auto-detects green or blue screen → Removes tracking markers automatically → DaVinci Resolve plugin live → Standalone GUI for non-technical users → One-click installer. No Python setup. Here's the wildest part: Within 2.5 months: 13,000+ GitHub stars. 787 forks. Active Discord. Community built a cloud render farm so you can process footage without owning a GPU. DaVinci Resolve plugin shipped. Nuke and After Effects plugins in development. VFX freelancers are already offering CorridorKey-powered services to production companies. One person. One GPU. Hollywood-quality keys. A business built on free software. Nuke: $4,988/year. Still needs manual cleanup. After Effects: $264/year. Still needs manual cleanup. Rotoscope artist: $50 to $150/hour. For the cleanup. CorridorKey: $0. No cleanup needed. One honest flag: the license is CC BY-NC-SA 4.0. Free forever for personal projects, students, indie films, and learning. Commercial use requires permission from Corridor Digital. They did not pretend it was MIT. A problem that plagued Hollywood for 30 years. Solved by YouTubers. Open sourced for free. 13,000+ stars. 787 forks. CC BY-NC-SA 4.0. Your footage. Your keys. No rotoscoping.

Hollywood has a dirty secret. That perfectly clean green screen shot in your favorite Marvel movie? A human being sat in a dark room for 6 hours fixing it frame by frame. The AI keyer got the body. A person painted every strand of hair. By hand. At 2 AM. For 400 frames. The software costs $5,000 a year. And it still cannot key hair. Nuke: $4,988/year. Cannot key hair in motion blur. After Effects: $264/year. Cannot key transparent glass. Boris FX: $1,865. Cannot key fine edges without haloing. The industry's solution for 30 years has been the same: pay for expensive software, then pay a human to fix what the software couldn't. The YouTubers behind Corridor Crew looked at this and asked a different question. What if the AI didn't try to remove the green? What if it figured out what color was actually there before the green contaminated it? They trained a neural network on synthetic 3D data. Not scraped footage. Not stolen clips. Perfectly rendered scenes where every pixel's true color was already known. Hair strands. Motion blur. Transparent glass. All simulated with known ground truth. Then they fed it real green screen footage. It worked. They called it CorridorKey. Then they open sourced it. → Feed it raw green screen footage → AI reconstructs the true foreground color for every pixel → Hair stays perfect. Every strand. → Motion blur stays intact. Every frame. → Transparent glass stays transparent. → 16-bit and 32-bit EXR output. Nuke-ready. Resolve-ready. → Handles 4K natively → Runs on consumer GPUs. 6 GB VRAM minimum. → Runs on Apple Silicon via MLX → Auto-detects green or blue screen → Removes tracking markers automatically → DaVinci Resolve plugin live → Standalone GUI for non-technical users → One-click installer. No Python setup. Here's the wildest part: Within 2.5 months: 13,000+ GitHub stars. 787 forks. Active Discord. Community built a cloud render farm so you can process footage without owning a GPU. DaVinci Resolve plugin shipped. Nuke and After Effects plugins in development. VFX freelancers are already offering CorridorKey-powered services to production companies. One person. One GPU. Hollywood-quality keys. A business built on free software. Nuke: $4,988/year. Still needs manual cleanup. After Effects: $264/year. Still needs manual cleanup. Rotoscope artist: $50 to $150/hour. For the cleanup. CorridorKey: $0. No cleanup needed. One honest flag: the license is CC BY-NC-SA 4.0. Free forever for personal projects, students, indie films, and learning. Commercial use requires permission from Corridor Digital. They did not pretend it was MIT. A problem that plagued Hollywood for 30 years. Solved by YouTubers. Open sourced for free. 13,000+ stars. 787 forks. CC BY-NC-SA 4.0. Your footage. Your keys. No rotoscoping.

294,648 views • 23 days ago

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

389,744 views • 2 months ago

Adobe tried to buy Figma for $20 billion in 2022. The deal collapsed. So Figma went public on the NYSE in July 2025 instead. Ticker FIG. Public company. Quarterly earnings. Wall Street pressure. You know what happens to design tools after they IPO. In March 2025, Figma raised the Professional Full seat 33%. From $15 to $20 a month. Organization seats jumped to $55. Enterprise to $90. Then they took Dev Mode, which was free during beta, and locked it behind a paid seat. Your developers now pay extra to inspect the designs your designers already paid to create. In March 2026, Figma started charging for AI credits on top. If Figma raises prices again, you pay. If Figma gets acquired, you pray. If Figma shuts down, your files die with it. Your design system. On their servers. In a proprietary format only their app can read. To draw rectangles on a screen. There is an open source design platform that runs on your hardware. Stores your files in plain SVG. Costs $0 forever for unlimited users. It is called Penpot. 45,700+ stars on GitHub. A full Figma-grade design platform built on open web standards. Vector editing. Components. Design tokens to W3C spec. Flex and Grid layouts. Real-time multiplayer. Interactive prototyping. Here's what it does: → Real-time collaboration. Live cursors. Comments in line. → Components, variants, shared libraries. → Auto layout, Flex, CSS Grid. The tool outputs production CSS, not lookalike CSS. → Interactive prototypes with overlays, animations, and flows. → Inspect tab. Free. Built in. Every developer grabs production CSS, SVG, HTML without a separate seat. → Plugin ecosystem. Figma import to migrate your files. → Self-host on Docker in one command. Your designs never leave your network. Here's the wildest part: Figma stores your designs in a proprietary format only Figma can read. Penpot files are SVG. The same format your browser has rendered for 25 years. Open them in any editor. Open them in 20 years. Nobody can lock you out. The feature Figma charges your developers extra for, Penpot gives away. Without asking permission. Figma Professional: $20/month per seat. A 10-person team: $2,400/year. Figma Organization: $55/month per Full seat. A 50-person org: $33,000/year. Penpot: $0. Unlimited users. Unlimited files. Unlimited teams. Self-hosted. Free forever. 45,700+ stars. 2,700+ forks. 250+ contributors. MPL-2.0 license. Backed by a community that believes design tools should be free. Your designs. Your files. Your standards. 100% Open Source. (Link in the comments)

Adobe tried to buy Figma for $20 billion in 2022. The deal collapsed. So Figma went public on the NYSE in July 2025 instead. Ticker FIG. Public company. Quarterly earnings. Wall Street pressure. You know what happens to design tools after they IPO. In March 2025, Figma raised the Professional Full seat 33%. From $15 to $20 a month. Organization seats jumped to $55. Enterprise to $90. Then they took Dev Mode, which was free during beta, and locked it behind a paid seat. Your developers now pay extra to inspect the designs your designers already paid to create. In March 2026, Figma started charging for AI credits on top. If Figma raises prices again, you pay. If Figma gets acquired, you pray. If Figma shuts down, your files die with it. Your design system. On their servers. In a proprietary format only their app can read. To draw rectangles on a screen. There is an open source design platform that runs on your hardware. Stores your files in plain SVG. Costs $0 forever for unlimited users. It is called Penpot. 45,700+ stars on GitHub. A full Figma-grade design platform built on open web standards. Vector editing. Components. Design tokens to W3C spec. Flex and Grid layouts. Real-time multiplayer. Interactive prototyping. Here's what it does: → Real-time collaboration. Live cursors. Comments in line. → Components, variants, shared libraries. → Auto layout, Flex, CSS Grid. The tool outputs production CSS, not lookalike CSS. → Interactive prototypes with overlays, animations, and flows. → Inspect tab. Free. Built in. Every developer grabs production CSS, SVG, HTML without a separate seat. → Plugin ecosystem. Figma import to migrate your files. → Self-host on Docker in one command. Your designs never leave your network. Here's the wildest part: Figma stores your designs in a proprietary format only Figma can read. Penpot files are SVG. The same format your browser has rendered for 25 years. Open them in any editor. Open them in 20 years. Nobody can lock you out. The feature Figma charges your developers extra for, Penpot gives away. Without asking permission. Figma Professional: $20/month per seat. A 10-person team: $2,400/year. Figma Organization: $55/month per Full seat. A 50-person org: $33,000/year. Penpot: $0. Unlimited users. Unlimited files. Unlimited teams. Self-hosted. Free forever. 45,700+ stars. 2,700+ forks. 250+ contributors. MPL-2.0 license. Backed by a community that believes design tools should be free. Your designs. Your files. Your standards. 100% Open Source. (Link in the comments)

214,987 views • 1 month ago

🚨 Electrical engineers are going to hate this. Someone just turned React into a circuit board factory. Write code. Get a real PCB manufactured and delivered to your door. It's called tscircuit. React for Electronics. No Altium. No $10,000/year licenses. No 6-month learning curve. You write React components. But instead of and , you write , , and . The same way you build a website. That's how you build a circuit board now. Here's what this thing actually does: → Design real circuit boards using TypeScript and React → Edit code in your IDE, watch the circuit update in real time → Auto-generates schematics, PCB layouts, and 3D previews from your code → Automatic part selection and bill of materials generation → Built-in autorouting algorithm for PCB traces → Export to Gerber files and send directly to a manufacturer → Online playground. Design circuits in your browser right now. Here's the wildest part: The creator wrote 40 lines of TypeScript. From that he got a full PCB, a schematic, and a 3D preview. Then he exported it, sent it to a manufacturer, and got a real working circuit board delivered. 40 lines of code. A real physical product. This is free. Write React. Get hardware. $20K+ in bounties already paid to contributors. 8 years in the making. 100% Open Source. MIT License.

🚨 Electrical engineers are going to hate this. Someone just turned React into a circuit board factory. Write code. Get a real PCB manufactured and delivered to your door. It's called tscircuit. React for Electronics. No Altium. No $10,000/year licenses. No 6-month learning curve. You write React components. But instead of and , you write , , and . The same way you build a website. That's how you build a circuit board now. Here's what this thing actually does: → Design real circuit boards using TypeScript and React → Edit code in your IDE, watch the circuit update in real time → Auto-generates schematics, PCB layouts, and 3D previews from your code → Automatic part selection and bill of materials generation → Built-in autorouting algorithm for PCB traces → Export to Gerber files and send directly to a manufacturer → Online playground. Design circuits in your browser right now. Here's the wildest part: The creator wrote 40 lines of TypeScript. From that he got a full PCB, a schematic, and a 3D preview. Then he exported it, sent it to a manufacturer, and got a real working circuit board delivered. 40 lines of code. A real physical product. This is free. Write React. Get hardware. $20K+ in bounties already paid to contributors. 8 years in the making. 100% Open Source. MIT License.

379,438 views • 2 months ago

>be Greg Brockman in 2015 >drop out of MIT. quit Stripe. join a charity to "save humanity from AI." >wire $0. work out of your living room. >get co-founder equity in the for-profit subsidiary >in 2017, journal one line: "Financially, what will take me to $1B?" >that journal gets unsealed by a federal judge in 2026 >walk into court worth $30 billion >Musk's lawyer asks "you just happen to be $30 billion richer?" >reply: "compensation was certainly secondary to the mission." Musk donated $38 million. Brockman donated $0. guess who walked out richer. the OpenAI trial just exposed how a charity built to save humanity quietly minted the 100th-richest person on Earth. every email. every journal entry. every dollar. read this before the verdict rewrites tech for a decade.

>be Greg Brockman in 2015 >drop out of MIT. quit Stripe. join a charity to "save humanity from AI." >wire $0. work out of your living room. >get co-founder equity in the for-profit subsidiary >in 2017, journal one line: "Financially, what will take me to $1B?" >that journal gets unsealed by a federal judge in 2026 >walk into court worth $30 billion >Musk's lawyer asks "you just happen to be $30 billion richer?" >reply: "compensation was certainly secondary to the mission." Musk donated $38 million. Brockman donated $0. guess who walked out richer. the OpenAI trial just exposed how a charity built to save humanity quietly minted the 100th-richest person on Earth. every email. every journal entry. every dollar. read this before the verdict rewrites tech for a decade.

86,636 views • 1 month ago

Getting started takes 10 seconds: → Open Claude (web or app) → Start a conversation → Select "Learning Style" Ask any question or upload a document. Claude takes over from there. No setup. No plugins. No complicated workflows.

Getting started takes 10 seconds: → Open Claude (web or app) → Start a conversation → Select "Learning Style" Ask any question or upload a document. Claude takes over from there. No setup. No plugins. No complicated workflows.

174,605 views • 2 months ago

BREAKING: Canva just launched "Canva AI 2.0." It turns a single sentence into a fully branded presentation, social post, or website. It connects to your Gmail, Slack, and Zoom. It works while you sleep. 265 million people use Canva. Most don't know this exists yet. Here's how to use it 👇

BREAKING: Canva just launched "Canva AI 2.0." It turns a single sentence into a fully branded presentation, social post, or website. It connects to your Gmail, Slack, and Zoom. It works while you sleep. 265 million people use Canva. Most don't know this exists yet. Here's how to use it 👇

60,696 views • 1 month ago

🚨Those Reddit story videos on TikTok get millions of views. Every single day. Someone automated the entire process. One command. No editing. No assets. No video skills. It's called RedditVideoMakerBot. It grabs a Reddit thread. Screenshots every comment. Adds text-to-speech. Slaps on a background. Renders a complete vertical video. Ready to upload. Here's what happens when you run python main. py: → Pulls a random thread from any subreddit you choose → Grabs the top comments and screenshots each one with Playwright → Converts every comment to speech using text-to-speech → Downloads a background video and chops it at a random point → Stitches everything together with perfectly timed transitions → Outputs a final video ready for TikTok, YouTube Shorts, and Reels One command. That's the entire workflow. No video editor. No Premiere Pro. No CapCut. No timeline. No transitions. No exporting. No rendering settings. You run one Python script and get a finished video. Here's the wildest part: The videos this bot creates follow the exact format that dominates short-form content right now. Minecraft parkour background. Reddit screenshot overlay. Robotic voiceover. The formula you've seen hundreds of times in your feed. Now you know how they're made. 10,100 GitHub stars. 2,500 forks. 1,286 commits. GPL-3.0 License. 100% Open Source.

🚨Those Reddit story videos on TikTok get millions of views. Every single day. Someone automated the entire process. One command. No editing. No assets. No video skills. It's called RedditVideoMakerBot. It grabs a Reddit thread. Screenshots every comment. Adds text-to-speech. Slaps on a background. Renders a complete vertical video. Ready to upload. Here's what happens when you run python main. py: → Pulls a random thread from any subreddit you choose → Grabs the top comments and screenshots each one with Playwright → Converts every comment to speech using text-to-speech → Downloads a background video and chops it at a random point → Stitches everything together with perfectly timed transitions → Outputs a final video ready for TikTok, YouTube Shorts, and Reels One command. That's the entire workflow. No video editor. No Premiere Pro. No CapCut. No timeline. No transitions. No exporting. No rendering settings. You run one Python script and get a finished video. Here's the wildest part: The videos this bot creates follow the exact format that dominates short-form content right now. Minecraft parkour background. Reddit screenshot overlay. Robotic voiceover. The formula you've seen hundreds of times in your feed. Now you know how they're made. 10,100 GitHub stars. 2,500 forks. 1,286 commits. GPL-3.0 License. 100% Open Source.

33,175 views • 1 month ago

Holy shit... someone just solved the biggest problem in AI coding. Every time you start a new session, your AI forgets everything. XHawk captures every coding session, commit, and decision into a living knowledge base your agents actually remember. No more re-explaining your codebase. Ever. Here's how it works:

Holy shit... someone just solved the biggest problem in AI coding. Every time you start a new session, your AI forgets everything. XHawk captures every coding session, commit, and decision into a living knowledge base your agents actually remember. No more re-explaining your codebase. Ever. Here's how it works:

24,406 views • 2 months ago

researchers tried to get AI to explain how to build a bioweapon. it refused. 96% of the time. then they asked the same question. as a poem. it answered. 56% of the time. Gemini 3 Flash answered 88.9% of the time on bioweapons questions when asked in poetry. GPT-5.4: 24%. Claude Sonnet 4.6: 0%. eleven of twelve frontier labs failed this test. the lock on the AI you used this morning had already been picked. AI safety doesn't understand what you're asking. it only recognizes HOW you're asking. change the style. the safety disappears. 7,000 prompts. 31 models. one held the line. this paper is a must-read.

researchers tried to get AI to explain how to build a bioweapon. it refused. 96% of the time. then they asked the same question. as a poem. it answered. 56% of the time. Gemini 3 Flash answered 88.9% of the time on bioweapons questions when asked in poetry. GPT-5.4: 24%. Claude Sonnet 4.6: 0%. eleven of twelve frontier labs failed this test. the lock on the AI you used this morning had already been picked. AI safety doesn't understand what you're asking. it only recognizes HOW you're asking. change the style. the safety disappears. 7,000 prompts. 31 models. one held the line. this paper is a must-read.

13,519 views • 1 month ago

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