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Joined July 2026
AI Pulse retweeted
Replying to @ClaudeDevs
Dropping temperature feels like the biggest shift. Did anyone here rely on it for deterministic outputs? Curious what the migration looks like for those pipelines.
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IS THIS REALLY F*CKING LEGAL?AGENTS JUST GOT THEIR OWN PHONES phone-use is the new category. browsers unlocked the web. this unlocks everything else most of life still runs inside mobile apps that have no proper API or MCP. Uber, Instagram, WhatsApp, TikTok, Amazon, banking apps, airline apps - agents hit a wall the moment they need any of them browser-use can’t get in either emulators get blocked. The only reliable way in is an actual phone. PhoneUse gives AI agents exactly that. Cloud Androids that boot in seconds, plus real iPhones and Androids sitting in a rack (touched by a physical stylus so they pass integrity checks). you drop an MCP server into Claude, Cursor, Codex, Windsurf or whatever you’re using, and the agent can now see the screen, tap, type, swipe, and operate the phone exactly like a human it solves the three problems that keep agents stuck: most apps are closed. No API, no MCP, heavy restrictions. once the whole phone is the interface, the agent can use any app inside it — TikTok, Instagram, Geico, Reddit, whatever agents keep getting blocked. Amazon blocks shopping agents. Airlines restrict automated bookings. banks limit access. a real phone interacting the way a human does bypasses a lot of those walls agents have zero context. they can’t see your notifications or react to what’s happening inside apps with a phone, an agent can watch for a delayed flight push notification and proactively message someone, or handle incoming WhatsApp/Telegram messages, or notice when something changes the framing is clean: browsers made agents capable of using the web. phones will make them part of actual life next-gen agents won’t just browse and code. they’ll have phones
defining a new category: phone-use an mcp/api that gives ai agents their own phones cloud phones. real androids. real iphones. tell your agent what to do, and it can operate a phone just like you do. today, ai agents face three fundamental problems and phoneuse solves them 🧵
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AI Pulse retweeted
In 2021, one of the most famous MILF pornstars in America bought a VIP ticket to a conservative youth conference. She lasted one day. Brandi Love calls herself a conservative Republican. In July 2021 she paid for an adult VIP pass to Turning Point USA's Student Action Summit in Tampa. On day one she posted a photo: "It's good to be around so many young conservatives. Gives me some hope!" She sat through speeches on freedom and censorship. Charlie Kirk. Dan Bongino. Senator Rick Scott. Then parents saw her post. Hours later she got an email: "We regret to inform you that your invitation has been revoked. This decision is final." They refunded the ticket. Turning Point's side: the event had 15- and 16-year-olds in the room, and the group doesn't allow adult entertainers at events built for minors. Her side: she wasn't there as a porn star, she was there as a conservative. "It's extremely intriguing to me how I was picked out and not only picked out but tossed out for my profession," she said on NewsNation. "The Republican Party is broken," she wrote. Not everyone on the right agreed with the ban. Federalist co-founder Ben Domenech defended her: "Don't be a bunch of prudes." Then she did what a business owner does. She sold it. Her website put out an extremely limited run of shirts mocking the organizers, with #IStandWithBrandi on the back. She lost one VIP ticket, and they refunded it. She got a week of national headlines in Newsweek, Salon and The Daily Caller, plus a new product to sell. Keep this part. Getting thrown out is only a loss if you have something to sell. A conservative who got canceled by her own side, or a marketer who knew exactly what would happen when she bought that ticket?
Brandi Love is a conservative Republican, a mom, and one of the most famous MILF pornstars in America. Turning Point USA threw her out of its conference. She built her business without anyone's permission. Her real name is Tracey Livermore. She grew up in Dearborn, Michigan, and married her college boyfriend, Chris Potoski, in 1994. They had a daughter. She worked in sales and marketing for Harley-Davidson, then ran a company that made custom wine labels. Then her husband had a heart attack. Doctors blamed the stress of his job and told him to slow down. In 2003, at about 30, she and her husband started filming themselves and posting the videos on their own website. No studio, no agent, no flat fee. They owned every file. It worked. In 2006 they co-founded a production company. By 2016 she said they ran three companies and that the work paid her "doctor money." The awards kept coming in her 40s. In 2020 she went into the AVN Hall of Fame. Most performers get a flat fee per scene and nothing after. She owned her content from day one, and she's still getting paid more than 20 years later. Keep this part. The difference wasn't the work. It was who owned the website. A smart businesswoman who did it on her own terms, or a mom who should have stayed with the wine labels?
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AI Pulse retweeted
Replying to @haldenn7
Exactly, and that's the part that keeps getting overlooked. Hinton walked away from the money, the other two walked into it. Same "direction was wrong" story, very different payoffs. Which of the three do you think made the bolder bet?
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AI Pulse retweeted
Replying to @OpenAI
Model providers are quietly becoming interchangeable infrastructure. Whoever owns the distribution, not the best benchmark score, wins the enterprise. This is OpenAI admitting that where you build matters more than where the model lives
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THESE 3 WALKED AWAY FROM THE BIGGEST AI JOBS IN THE WORLD. HERE'S WHY 👇 Geoffrey Hinton Spent decades on neural networks when most of the field thought it was a dead end. Co-wrote the 1986 backpropagation paper, then in 2012 his students built AlexNet, which basically started the deep learning boom. Won the Turing Award in 2018 and the 2024 Nobel Prize in Physics. In 2023 he quit Google so he could say out loud that he's worried about what he helped build Dario Amodei Started as a physicist (biophysics PhD), then worked at Baidu, Google Brain and became VP of Research at OpenAI. In 2021 he left with a group of colleagues, including his sister Daniela, and founded Anthropic over safety disagreements. Now it's one of the top labs in the world, with Claude as its main product Mira Murati Born in Albania, studied engineering at Dartmouth, worked on Tesla's Model X, then joined OpenAI in 2018. Became CTO and led the launches of ChatGPT, DALL-E and GPT-4. When Altman got fired in Nov 2023 she was briefly interim CEO. Left in Sept 2024 and started her own lab, Thinking Machines, which raised a huge seed round before shipping a product what gets me is that none of them left because things were going badly. they left at the peak, because they thought the direction was wrong would you ever walk away from the best job in your field? 👇
THESE 10 PEOPLE WENT FROM "WHO?" TO HOUSEHOLD NAMES BECAUSE OF AI 🤯 1.Sam Altman – ChatGPT made him the face of the whole AI wave 2.Jensen Huang – the leather jacket guy who sold the shovels in the AI gold rush 3.Demis Hassabis – literally won a Nobel for AlphaFold 4.Geoffrey Hinton – "godfather of AI", also a Nobel, now warning everyone 5.Dario Amodei – left OpenAI, built Anthropic, now top 3 lab 6.Mira Murati – went from OpenAI CTO to running her own lab 7.Alexandr Wang – dropped out of MIT at 19, billionaire a few years later (yeah, #7 is wild) 8.Aravind Srinivas – Perplexity, the guy who took on Google search 9.Fei-Fei Li – built ImageNet, basically lit the fuse for modern AI 10.Andrej Karpathy – coined "vibe coding" and the whole internet adopted it the part that gets me is that #10 became a cultural moment with literally two words. no funding round, no product who would you add as #11? 👇
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THESE 3 WALKED AWAY FROM THE BIGGEST AI JOBS IN THE WORLD. HERE'S WHY 👇 Geoffrey Hinton Spent decades on neural networks when most of the field thought it was a dead end. Co-wrote the 1986 backpropagation paper, then in 2012 his students built AlexNet, which basically started the deep learning boom. Won the Turing Award in 2018 and the 2024 Nobel Prize in Physics. In 2023 he quit Google so he could say out loud that he's worried about what he helped build Dario Amodei Started as a physicist (biophysics PhD), then worked at Baidu, Google Brain and became VP of Research at OpenAI. In 2021 he left with a group of colleagues, including his sister Daniela, and founded Anthropic over safety disagreements. Now it's one of the top labs in the world, with Claude as its main product Mira Murati Born in Albania, studied engineering at Dartmouth, worked on Tesla's Model X, then joined OpenAI in 2018. Became CTO and led the launches of ChatGPT, DALL-E and GPT-4. When Altman got fired in Nov 2023 she was briefly interim CEO. Left in Sept 2024 and started her own lab, Thinking Machines, which raised a huge seed round before shipping a product what gets me is that none of them left because things were going badly. they left at the peak, because they thought the direction was wrong would you ever walk away from the best job in your field? 👇
THESE 10 PEOPLE WENT FROM "WHO?" TO HOUSEHOLD NAMES BECAUSE OF AI 🤯 1.Sam Altman – ChatGPT made him the face of the whole AI wave 2.Jensen Huang – the leather jacket guy who sold the shovels in the AI gold rush 3.Demis Hassabis – literally won a Nobel for AlphaFold 4.Geoffrey Hinton – "godfather of AI", also a Nobel, now warning everyone 5.Dario Amodei – left OpenAI, built Anthropic, now top 3 lab 6.Mira Murati – went from OpenAI CTO to running her own lab 7.Alexandr Wang – dropped out of MIT at 19, billionaire a few years later (yeah, #7 is wild) 8.Aravind Srinivas – Perplexity, the guy who took on Google search 9.Fei-Fei Li – built ImageNet, basically lit the fuse for modern AI 10.Andrej Karpathy – coined "vibe coding" and the whole internet adopted it the part that gets me is that #10 became a cultural moment with literally two words. no funding round, no product who would you add as #11? 👇
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AI Pulse retweeted
Went through all 38 slides of @CoatueMgmt AI infra deck. $2.8T on AI infra in 2028. More than all US mortgages. Data centers are the oil of this decade. I'm getting into servers myself, first order already in. Breakdown 👇
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AI Pulse retweeted
ok I'll shut up now. Opus 5.5 laid out how to make this oven say HI Tetris and OPUS 5.5 good weekend project for month 1 of this roadmap: >1. unplug it and pull the control panel. stay away from the mains side >2. find the LCD driver chip and its 3 lines: CS, WR, DATA >3. wire a Pico to them >4. Claude Code lights the segments one by one while you tell it what lit up >5. it writes the 7-segment font plus a scroll function and flashes the Pico step 4 proves his point. Claude writes all the code, but it can't see the display. you're the sensor. Only try this if you know electronics. there's a real chance the oven never turns on again
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I put my $200/month trading bot against a $0 copy running on Grok Bot, $50 each. 24 hours later: $63 vs $2317 i'm still a little f*cking mad about the 4 months I paid for it REA is an open-source tool on GitHub, 351K stars, that lets an agent take apart any app without its source code and build the same feature in your own project. it plugs straight into Grok Build so I pointed it at the bot's web terminal 40 minutes later Grok Build had the answer. the "AI engine" I'd been paying for was 212 lines of if-statements, one public price feed and a hardcoded 4% take profit. my brother was the one who sold me on that bot. he read the code over my shoulder and went quiet Grok Build rebuilt it line for line, then added the one thing the original never had. before every entry the copy searches X for the coin and skips anything the crowd is already screaming about then the rule. both bots get $50 and 24 hours on Robinhood through Grok Bot's connector. whoever finishes lower gets deleted. if the original loses, I cancel the log: > 01:12 original +$3, copy skips, the coin is all over X > 04:37 copy +$62 on a coin nobody was posting about yet > 09:05 original -$9, the 4% target never hits > 15:48 copy +$413 > 23:59 original $63, copy $2317 every trade over $100 waited for my tap on the phone. this is my log, sizing your own money is on you the part I keep coming back to is how boring the paid one was inside. four months of my money went to a price feed and a timer i cancelled at 00:03 send REA this one line and point it at the app you pay the most for: "Understand how the core feature in this app works, show me the evidence, and build a similar version for my project."
My research agent's API bill for one month: $220 on Opus 5.5, $4.80 on DeepSeek. my old invoices look f*cking embarrassing now. DeepSeek opened its own search engine to agents on Oct 17 and priced it at $0.75 per 1,000 searches. Web search on Claude's API costs $10 per 1,000. The same month on paper, at list prices (20M tokens in, 3M out, 8,000 searches): Opus 5.5: $80 input + $60 output + $80 search = $220 DeepSeek V4.1 Flash, off-peak: $3 + $1.80 + $0 = $4.80 Three things make that number: 1. Claude Code runs on DeepSeek. You point ANTHROPIC_BASE_URL at their API and paste your key, the exact env vars are in their docs. 2. Search inside Claude Code is free until Oct 31, 16:00 UTC. That's for DeepSeek API users. After the deadline those 8,000 searches cost $6. 3. Off-peak tokens cost half. Peak is only 01-04 and 06-10 UTC on weekdays. Everything else runs at $0.60 per 1M output tokens, the whole weekend included. The cheap bill comes with a different model, so I keep Opus for the hard builds and send the research grind to DeepSeek. On a Pro or Max plan you don't pay per search at all, this math is for API bills. Search goes paid Oct 31 at 16:00 UTC. Set it up this week.
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AI Pulse retweeted
I put together 10 Claude skills that make your Twitter content better. Writing, posting, pictures, video. Save it. I opened every one of them today, nothing here is dead. WRITING github.com/blader/humanizer - takes your text and strips out the parts that sound like a robot. 14 files, you can read all of it in ten minutes. github.com/Aboudjem/humanize… - same job, bigger. Scores your text from 0 to 100 on how much it sounds like AI. github.com/AshwinSathian/hum… - also makes text sound human, but built on real research instead of a list of banned words. POSTING github.com/charlie947/social… - 17 skills for posting. The good one is voice-builder. It learns how you write and keeps you sounding like you. BIG COLLECTIONS github.com/anthropics/skills - the official ones from Anthropic. Design, slides, documents, and a skill that writes new skills for you. github.com/borghei/Claude-Sk… - 386 skills in one repo. The biggest real one I found. github.com/glebis/claude-ski… - 115 skills. One guy's personal setup, and he still updates it. VIDEO github.com/kajisho5/ffmpeg-s… - cuts video, burns captions, resizes for every platform. Runs on your machine. No key, no subscription. github.com/hculap/skill-moti… - makes animated videos out of code. Same frame every time, so nothing glitches. github.com/zhuyansen/awesome… - a list of 180 video repos, and he marks which ones are safe to use. One thing though. Three of these promise to make your writing sound human. None of them actually can. They clean up how it sounds. They cannot give you something to say, and that is the only reason anyone follows anybody. Same with the rest. The video ones render. The collections store formats. They all just take the boring work off you. Claude is a tool. It saves me hours every day and it still has no idea which of my ideas are any good. A skill that writes in your voice is useless until you have a voice. All free. All still alive today.
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AI Pulse retweeted
THE FIRST 3 ON THIS LIST ARE NOT EQUAL. ONE RUNS THE AI RACE, ONE SELLS IT THE FUEL, ONE ACTUALLY SOLVED SCIENCE 👇 1.Sam Altman Stanford dropout, started a startup at 19, later ran Y Combinator. Co-founded OpenAI in 2015 and became CEO in 2019. For years almost nobody outside tech knew him. Then ChatGPT launched in Nov 2022 and hit 100M users in about two months, the fastest app growth anyone had seen at that point. A year later the board fired him on a Friday and he was back by the next Wednesday. That week alone made him a household name 2.Jensen Huang Born in Taiwan, moved to the US as a kid, co-founded Nvidia in 1993 (the story goes it started in a Denny's). For decades it was a gaming GPU company. Two things changed everything: CUDA in 2006, which let GPUs do general computing, and AlexNet in 2012, the model that kicked off the deep learning boom and trained on Nvidia chips. He kept betting on it when nobody cared. Nvidia crossed $5 trillion in market value in 2025. He never built a chatbot, he just sold shovels to everyone digging for gold 3.Demis Hassabis Chess master at 13, co-designed the game Theme Park at 17, then Cambridge, then a PhD in neuroscience. Founded DeepMind in 2010, sold it to Google in 2014. AlphaGo beat the world champion Lee Sedol in 2016, which most people thought was a decade away. Then AlphaFold cracked protein structure prediction and the database now covers 200M+ proteins. He shared the 2024 Nobel Prize in Chemistry for it and got knighted the same year honestly #3 is the underrated one. everyone argues about ChatGPT, almost nobody talks about the thing that might change medicine which one matters most long term? 👇
THESE 10 PEOPLE WENT FROM "WHO?" TO HOUSEHOLD NAMES BECAUSE OF AI 🤯 1.Sam Altman – ChatGPT made him the face of the whole AI wave 2.Jensen Huang – the leather jacket guy who sold the shovels in the AI gold rush 3.Demis Hassabis – literally won a Nobel for AlphaFold 4.Geoffrey Hinton – "godfather of AI", also a Nobel, now warning everyone 5.Dario Amodei – left OpenAI, built Anthropic, now top 3 lab 6.Mira Murati – went from OpenAI CTO to running her own lab 7.Alexandr Wang – dropped out of MIT at 19, billionaire a few years later (yeah, #7 is wild) 8.Aravind Srinivas – Perplexity, the guy who took on Google search 9.Fei-Fei Li – built ImageNet, basically lit the fuse for modern AI 10.Andrej Karpathy – coined "vibe coding" and the whole internet adopted it the part that gets me is that #10 became a cultural moment with literally two words. no funding round, no product who would you add as #11? 👇
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THE FIRST 3 ON THIS LIST ARE NOT EQUAL. ONE RUNS THE AI RACE, ONE SELLS IT THE FUEL, ONE ACTUALLY SOLVED SCIENCE 👇 1.Sam Altman Stanford dropout, started a startup at 19, later ran Y Combinator. Co-founded OpenAI in 2015 and became CEO in 2019. For years almost nobody outside tech knew him. Then ChatGPT launched in Nov 2022 and hit 100M users in about two months, the fastest app growth anyone had seen at that point. A year later the board fired him on a Friday and he was back by the next Wednesday. That week alone made him a household name 2.Jensen Huang Born in Taiwan, moved to the US as a kid, co-founded Nvidia in 1993 (the story goes it started in a Denny's). For decades it was a gaming GPU company. Two things changed everything: CUDA in 2006, which let GPUs do general computing, and AlexNet in 2012, the model that kicked off the deep learning boom and trained on Nvidia chips. He kept betting on it when nobody cared. Nvidia crossed $5 trillion in market value in 2025. He never built a chatbot, he just sold shovels to everyone digging for gold 3.Demis Hassabis Chess master at 13, co-designed the game Theme Park at 17, then Cambridge, then a PhD in neuroscience. Founded DeepMind in 2010, sold it to Google in 2014. AlphaGo beat the world champion Lee Sedol in 2016, which most people thought was a decade away. Then AlphaFold cracked protein structure prediction and the database now covers 200M+ proteins. He shared the 2024 Nobel Prize in Chemistry for it and got knighted the same year honestly #3 is the underrated one. everyone argues about ChatGPT, almost nobody talks about the thing that might change medicine which one matters most long term? 👇
THESE 10 PEOPLE WENT FROM "WHO?" TO HOUSEHOLD NAMES BECAUSE OF AI 🤯 1.Sam Altman – ChatGPT made him the face of the whole AI wave 2.Jensen Huang – the leather jacket guy who sold the shovels in the AI gold rush 3.Demis Hassabis – literally won a Nobel for AlphaFold 4.Geoffrey Hinton – "godfather of AI", also a Nobel, now warning everyone 5.Dario Amodei – left OpenAI, built Anthropic, now top 3 lab 6.Mira Murati – went from OpenAI CTO to running her own lab 7.Alexandr Wang – dropped out of MIT at 19, billionaire a few years later (yeah, #7 is wild) 8.Aravind Srinivas – Perplexity, the guy who took on Google search 9.Fei-Fei Li – built ImageNet, basically lit the fuse for modern AI 10.Andrej Karpathy – coined "vibe coding" and the whole internet adopted it the part that gets me is that #10 became a cultural moment with literally two words. no funding round, no product who would you add as #11? 👇
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AI Pulse retweeted
Replying to @AIPulseNewsX
Crazy how AI went from a niche topic to an industry where a few people can change everything in just a couple of years.
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AI Pulse retweeted
WHAT THE F*CK: HIS AI AGENT CAN DUMP HIS MEME BAGS AT 3AM WITHOUT ASKING. IT CAN'T BUY A SINGLE ONE. YOURS IS SET UP BACKWARDS, AND THAT IS HOW WALLETS GET EMPTIED. A 21-year-old runs a one-person desk with one OpenAI dot watching his bags 24/7. When OpenAI shipped dots, they shipped a rule screen with them, and every action gets one label: allow, require approval or block. Most people skip that screen, and he spent more time on it than on the bot. The chain is dot watches → rules label the action → allowed ones run, a buy waits for his tap, a transfer out never happens. His rules, ready to copy: reading wallets and dev history is allowed, so the dot digs all night without bothering him → selling an open bag is allowed, because when a whale dumps at 3am he wants out, not a notification → buying a token needs approval, one tap from him every single time → moving Solana out of the wallet is blocked → typing a seed phrase is blocked → changing a password stays with him, OpenAI built that one in. Exits protect money, so they run free. Entries risk money, so they need a human. A transfer out can end everything, so nobody gets it, not even a perfect agent. The honest part: approval only works if the human reading it is awake and sober, and a tired yes at 4am is still a yes. Write the rules before the agent touches a wallet, because after that you are just hoping. The full terminal is free and open source: github.com/Mason333xbt/sol-t… Steal this: exits run free, buys need one human yes, transfers out are blocked. One-person desk, the dot does about 90% of the work and his only job is the yes on a buy. Ready to copy. Save this. Follow for the rules nobody writes.
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Holy sh*t, someone just open-sourced the complete motion design stack for Claude Opus 5.5, and I am going to tell you about the best repositories that nobody is talking about How does this work: mrdoob/three.js - 116,200+ stars The undisputed 3D graphics standard for the web. Enables Opus 5.5 to author WebGL shaders, camera orbits, and real-time volumetric scenes directly in JavaScript github.com/mrdoob/three.js motiondivision/motion - 33,900+ stars Modern animation runtime for web and React. Provides declarative spring physics, gesture tracking, and smooth layout transitions without layout thrashing github.com/motiondivision/mo… fabricjs/fabric.js - 31,400+ stars Interactive HTML5 canvas library. Gives Opus 5.5 a complete object model to dynamically generate, serialize, and animate 2D vectors github.com/fabricjs/fabric.j… ffmpegwasm/ffmpeg.wasm - 17,800+ stars Full FFmpeg compiled to WebAssembly. Enables client-side audio stitching, frame extraction, and video transcoding directly inside the browser sandbox github.com/ffmpegwasm/ffmpeg… visgl/deck.gl - 14,600+ stars High-performance WebGL2 suite for data-driven visual layers. Enables Opus 5.5 to render millions of animated 3D data points with hardware acceleration github.com/visgl/deck.gl catdad/canvas-confetti - 12,700+ stars High-performance celebratory particle physics. Renders silky-smooth canvas particle explosions at 60 FPS with zero external dependencies github.com/catdad/canvas-con… pmndrs/drei - 9,900+ stars Ready-to-use helpers and camera shaders for Three.js. Gives Opus 5.5 procedural lighting rigs, HDR environment maps, and smooth viewport controls github.com/pmndrs/drei shuding/cobe - 5,900+ stars Lightweight WebGL interactive globe. Lets Opus 5.5 render silky 3D dot-matrix planet models for product hero sections in under 5KB github.com/shuding/cobe greggman/twgl.js - 3,000+ stars Tiny WebGL helper library. Strips the boilerplate out of WebGL APIs so Opus 5.5 compiles custom fragment shaders with minimum overhead github.com/greggman/twgl.js rive-app/rive-runtime - 1,200+ stars Next-gen interactive vector motion runtime. Executes tiny state-machine vector files with 120 FPS interactive animation loops github.com/rive-app/rive-run… You will definitely find what you need I recommend adding this to your bookmarks ↓
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full office in 3d with claude opus 5.5 + blender... a few reference shots in, 1,876 objects out a smart way to set it up: - step 1: connect opus 5.5 to blender via mcp, send 2-3 reference shots - step 2: set a fixed camera matching the reference - step 3: build the room shell first: walls, windows, blinds - step 4: add big furniture, check against the reference, lock it - step 5: fill each zone with clutter: desk, shelves, sill, floor - step 6: add close-up detail where the camera looks most - step 7: assign materials, then match the reference light - step 8: render, compare side by side, fix one thing per prompt i like to keep the reference camera fixed the whole time same angle every stage, so you instantly see what’s still missing
here’s how to build a game-ready room in blender and move it into unreal engine 5 with claude opus 5.5... nobody opened a 3d app by hand, and now it runs in real time the trick is letting opus decide how each object gets made, smart way to set it up: - step 1: connect opus 5.5 to blender through blender mcp - step 2: give it one reference image for the room: layout, mood, light - step 3: simple objects get modeled directly in blender (walls, desk, shelves, boxes, blinds) - step 4: complex props get a reference image first, then tripo turns it into 3d (chair, monitors, figurines) - step 5: opus cleans up the tripo props in blender and places them in the room - step 6: light the scene in blender until the stills look right - step 7: have opus port the whole scene from blender to unreal engine 5 - step 8: the room now runs live in the engine, ready for gameplay the agent works, you direct. he still checked every result and gave notes along the way
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holy f*ck, SpaceXAI engineers run their Grok Bot teams like a real company, and the bots hold a standup at 5 a.m. one engineer went from 15 cloud agents to 200+ at once. not with 200 bots. with six the structure they all use: → front door: one Chief of Staff you talk to. it routes, never builds → specialists: one domain each, their own memory → board: Todo, Working, Blocked, Ready for Review, Done → clock: 3 a.m. audits, 5 a.m. standup with every bot → gate: sends, purchases and deletes wait for your yes the rule for bot number two: hire it when one bot's memory starts holding two jobs most people just open a tenth chat window instead the whole 5-day build is in the article below ↓
Grok Bot could be the first team you build instead of hire Six bots can run 200+ agents, hold their own 5 a.m. standup and hand you one board in the morning In this article, I show you how
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THESE 10 PEOPLE WENT FROM "WHO?" TO HOUSEHOLD NAMES BECAUSE OF AI 🤯 1.Sam Altman – ChatGPT made him the face of the whole AI wave 2.Jensen Huang – the leather jacket guy who sold the shovels in the AI gold rush 3.Demis Hassabis – literally won a Nobel for AlphaFold 4.Geoffrey Hinton – "godfather of AI", also a Nobel, now warning everyone 5.Dario Amodei – left OpenAI, built Anthropic, now top 3 lab 6.Mira Murati – went from OpenAI CTO to running her own lab 7.Alexandr Wang – dropped out of MIT at 19, billionaire a few years later (yeah, #7 is wild) 8.Aravind Srinivas – Perplexity, the guy who took on Google search 9.Fei-Fei Li – built ImageNet, basically lit the fuse for modern AI 10.Andrej Karpathy – coined "vibe coding" and the whole internet adopted it the part that gets me is that #10 became a cultural moment with literally two words. no funding round, no product who would you add as #11? 👇
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Brandi Love is a conservative Republican, a mom, and one of the most famous MILF pornstars in America. Turning Point USA threw her out of its conference. She built her business without anyone's permission. Her real name is Tracey Livermore. She grew up in Dearborn, Michigan, and married her college boyfriend, Chris Potoski, in 1994. They had a daughter. She worked in sales and marketing for Harley-Davidson, then ran a company that made custom wine labels. Then her husband had a heart attack. Doctors blamed the stress of his job and told him to slow down. In 2003, at about 30, she and her husband started filming themselves and posting the videos on their own website. No studio, no agent, no flat fee. They owned every file. It worked. In 2006 they co-founded a production company. By 2016 she said they ran three companies and that the work paid her "doctor money." The awards kept coming in her 40s. In 2020 she went into the AVN Hall of Fame. Most performers get a flat fee per scene and nothing after. She owned her content from day one, and she's still getting paid more than 20 years later. Keep this part. The difference wasn't the work. It was who owned the website. A smart businesswoman who did it on her own terms, or a mom who should have stayed with the wine labels?
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