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Vaibhav Sisinty

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A Berlin artist made a shirt that makes you invisible to AI surveillance cameras. Like, the camera sees everyone else but skips right over you. The pattern looks like a loud Hawaiian shirt to humans. But to AI detection systems, it breaks the outline of a human body so completely that the model can't register a person is there. He built it by testing patterns against YOLO until the AI stopped seeing a human. Now he's selling it for $75. If his name sounds familiar same guy who tricked Google Maps into showing a fake traffic jam by pulling 99 phones through an empty street in 2020. It won't fool every system. But the government systems watching you are closed, proprietary, and impossible to test independently. The shirt is the question. The system that can't be questioned is the problem.

A Berlin artist made a shirt that makes you invisible to AI surveillance cameras. Like, the camera sees everyone else but skips right over you. The pattern looks like a loud Hawaiian shirt to humans. But to AI detection systems, it breaks the outline of a human body so completely that the model can't register a person is there. He built it by testing patterns against YOLO until the AI stopped seeing a human. Now he's selling it for $75. If his name sounds familiar same guy who tricked Google Maps into showing a fake traffic jam by pulling 99 phones through an empty street in 2020. It won't fool every system. But the government systems watching you are closed, proprietary, and impossible to test independently. The shirt is the question. The system that can't be questioned is the problem.

1,107,378 次观看

I read AI news for two hours every morning so you can read one WhatsApp message for two minutes. The one thing that mattered today. That's it. 500,000+ people get it before 9am. Free.

I read AI news for two hours every morning so you can read one WhatsApp message for two minutes. The one thing that mattered today. That's it. 500,000+ people get it before 9am. Free.

865,109 次观看

Keeping up with AI is a full-time job now. Unless someone does it for you. Every major AI move, curated and sent to your WhatsApp each morning. Read it over chai in 2 minutes. Free.

Keeping up with AI is a full-time job now. Unless someone does it for you. Every major AI move, curated and sent to your WhatsApp each morning. Read it over chai in 2 minutes. Free.

610,528 次观看

A college student just killed the biggest advantage politicians have ever had. The gap between the lie and the fact-check. He built a Chrome extension called InTruth. It listens to any live speech, debate, or interview. Transcribes every word. And checks every claim against real sources in real time. Before the speaker even finishes the sentence. It works on debates. Press conferences. Town halls. Interviews. Anything with someone talking on video. The fact-check shows up on your screen while they're still talking. Until now, fact-checking happened hours or days later. By then the clip has been shared, the headline has been written, and the damage is done. Nobody reads the correction. InTruth closes that gap to seconds. The claim and the fact-check exist in the same moment. A college student, a Chrome extension, and an AI model just did what entire newsrooms couldn't figure out for decades.

A college student just killed the biggest advantage politicians have ever had. The gap between the lie and the fact-check. He built a Chrome extension called InTruth. It listens to any live speech, debate, or interview. Transcribes every word. And checks every claim against real sources in real time. Before the speaker even finishes the sentence. It works on debates. Press conferences. Town halls. Interviews. Anything with someone talking on video. The fact-check shows up on your screen while they're still talking. Until now, fact-checking happened hours or days later. By then the clip has been shared, the headline has been written, and the damage is done. Nobody reads the correction. InTruth closes that gap to seconds. The claim and the fact-check exist in the same moment. A college student, a Chrome extension, and an AI model just did what entire newsrooms couldn't figure out for decades.

1,062,764 次观看

Baidu just open-sourced an OCR model that reads entire 40-page documents in one shot. It's called Unlimited-OCR. 3 billion parameters but only 500 million active during inference. Runs 100% locally on your machine. Why this matters: traditional OCR tools chop documents page by page. Tables that span two pages break. Reading order gets lost. Cross-page context disappears. Unlimited-OCR processes the whole document at once. 32K context window. Text, formulas, tables, reading order all preserved across pages. Output comes out as clean structured Markdown. → 93% accuracy on the standard benchmark. +6 points over the baseline. → Error rate stays below 0.11 even past 40 pages. → Multilingual out of the box. → 2.12 million downloads on Hugging Face last month. 14,600 GitHub stars. For context: Amazon Textract, Google Cloud Vision, and Azure Document Intelligence all charge per page. This runs locally for free.

Baidu just open-sourced an OCR model that reads entire 40-page documents in one shot. It's called Unlimited-OCR. 3 billion parameters but only 500 million active during inference. Runs 100% locally on your machine. Why this matters: traditional OCR tools chop documents page by page. Tables that span two pages break. Reading order gets lost. Cross-page context disappears. Unlimited-OCR processes the whole document at once. 32K context window. Text, formulas, tables, reading order all preserved across pages. Output comes out as clean structured Markdown. → 93% accuracy on the standard benchmark. +6 points over the baseline. → Error rate stays below 0.11 even past 40 pages. → Multilingual out of the box. → 2.12 million downloads on Hugging Face last month. 14,600 GitHub stars. For context: Amazon Textract, Google Cloud Vision, and Azure Document Intelligence all charge per page. This runs locally for free.

415,067 次观看

China just unveiled an AI-powered flying lifebuoy that autonomously races to drowning people, lands as a stable float supporting two adults, then flies back on its own. Developed by Hangzhou police and already in use at West Lake

China just unveiled an AI-powered flying lifebuoy that autonomously races to drowning people, lands as a stable float supporting two adults, then flies back on its own. Developed by Hangzhou police and already in use at West Lake

77,742 次观看

This guy used Opus 5 to build a tiny device that replaced scrolling for him. Imagine a small screen, barely bigger than a watch, with hundreds of glowing blue particles floating inside. When you tilt it, they slide. When you shake it, they splash. When you hold it still, they settle like water at the bottom of a glass. It looks like actual liquid is trapped behind the screen. But it's all code running on a $15 chip. Opus 5 wrote the entire thing in C. The physics, the lighting, the way each particle reacts to your hand movements. 100 fps on a device smaller than your palm. He says he picks it up instead of reaching for his phone now. Just sits there tilting it, watching particles move.

This guy used Opus 5 to build a tiny device that replaced scrolling for him. Imagine a small screen, barely bigger than a watch, with hundreds of glowing blue particles floating inside. When you tilt it, they slide. When you shake it, they splash. When you hold it still, they settle like water at the bottom of a glass. It looks like actual liquid is trapped behind the screen. But it's all code running on a $15 chip. Opus 5 wrote the entire thing in C. The physics, the lighting, the way each particle reacts to your hand movements. 100 fps on a device smaller than your palm. He says he picks it up instead of reaching for his phone now. Just sits there tilting it, watching particles move.

120,554 次观看

Google just built Cowork and called it Agent. And they added one thing Anthropic didn't. You set a goal. It browses the web, digs through your Gmail, checks your Calendar, pulls from Drive then executes the full task. Book a trip. Clear your inbox. Research a market. Done. No back and forth. But here's the part nobody's talking about: There's a toggle "Require a human review." You don't build that unless the plan is to eventually not require it. Google just told you where this ends. I share updates like these in my free AI community on WhatsApp. Join here 👇

Google just built Cowork and called it Agent. And they added one thing Anthropic didn't. You set a goal. It browses the web, digs through your Gmail, checks your Calendar, pulls from Drive then executes the full task. Book a trip. Clear your inbox. Research a market. Done. No back and forth. But here's the part nobody's talking about: There's a toggle "Require a human review." You don't build that unless the plan is to eventually not require it. Google just told you where this ends. I share updates like these in my free AI community on WhatsApp. Join here 👇

252,144 次观看

A guy from China just built a system that reshapes thousands of glowing particles into a jellyfish, a dragon, a statue, and a samurai. Just by moving his hands in front of a camera. Just a webcam reading his hand position. Every particle recalculates in real time. 60 frames per second. Not pre-rendered. Not a recording. Live. Clench both fists and the entire thing collapses into nothing. The whole setup runs on a regular camera and a GPU particle system. No special hardware. This is where hand tracking, computer vision, and real-time graphics have gotten. And most people haven't noticed.

A guy from China just built a system that reshapes thousands of glowing particles into a jellyfish, a dragon, a statue, and a samurai. Just by moving his hands in front of a camera. Just a webcam reading his hand position. Every particle recalculates in real time. 60 frames per second. Not pre-rendered. Not a recording. Live. Clench both fists and the entire thing collapses into nothing. The whole setup runs on a regular camera and a GPU particle system. No special hardware. This is where hand tracking, computer vision, and real-time graphics have gotten. And most people haven't noticed.

18,319 次观看

This guy built something that changes your face in real time using hand gestures. And it looks insane. 🤯 Viet Nguyen, a Senior AI engineer, built a personal project that transforms your face into 16 different visual styles. Van Gogh. Neon. Anime. Pop art. Graffiti. All triggered by just moving your hand. Open your hand. AI reads the gesture. Your face transforms into a completely different art style. Almost instantly. 16 styles. One hand movement. Zero clicks. The wild part: he built this as a side project. Not a product. Not a startup. Just one engineer combining two existing tools in a way nobody had thought to before. This is what personal projects look like in 2026.

This guy built something that changes your face in real time using hand gestures. And it looks insane. 🤯 Viet Nguyen, a Senior AI engineer, built a personal project that transforms your face into 16 different visual styles. Van Gogh. Neon. Anime. Pop art. Graffiti. All triggered by just moving your hand. Open your hand. AI reads the gesture. Your face transforms into a completely different art style. Almost instantly. 16 styles. One hand movement. Zero clicks. The wild part: he built this as a side project. Not a product. Not a startup. Just one engineer combining two existing tools in a way nobody had thought to before. This is what personal projects look like in 2026.

25,242 次观看

I made this entire video using Claude Design. And the output is insane. 🤯

I made this entire video using Claude Design. And the output is insane. 🤯

13,558 次观看

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End of an era. Tim Cook stepped down as Apple CEO. Today John Ternus takes over. Here's the pattern nobody is talking about. Apple doesn't pick CEOs. It picks weapons for the next war. Late 1990s. Apple was dying. It brought back Steve Jobs. A product visionary who saved the company by building things people didn't know they needed. Apple had the best products but needed global scale. It picked Tim Cook. An operations guy who turned it into a $5 trillion supply chain machine. $350 billion to $5 trillion on his watch. First company to cross $1T, $2T, $3T. Apple has the best devices on earth and the weakest AI narrative in big tech. So it picked an engineer. John Ternus. 25 years at Apple. He led the shift to Apple Silicon. Killed Intel. Shipped the M1. Hardware lead on every iPhone, Mac, iPad, and Vision Pro of the last decade. The same week he becomes CEO, OpenAI and Anthropic are buying tens of thousands of his Mac minis to train AI agents. Apple hardware became critical AI infrastructure without Apple building a single AI model. The AI war won't be won by chatbots. It'll be won on the chips AI runs on. Ternus built those chips. Tim Cook's last words as CEO: "My title changes tomorrow, but the love I have for the Apple community never will." The hardest shoes in tech were handed to the quietest engineer in the room.

End of an era. Tim Cook stepped down as Apple CEO. Today John Ternus takes over. Here's the pattern nobody is talking about. Apple doesn't pick CEOs. It picks weapons for the next war. Late 1990s. Apple was dying. It brought back Steve Jobs. A product visionary who saved the company by building things people didn't know they needed. Apple had the best products but needed global scale. It picked Tim Cook. An operations guy who turned it into a $5 trillion supply chain machine. $350 billion to $5 trillion on his watch. First company to cross $1T, $2T, $3T. Apple has the best devices on earth and the weakest AI narrative in big tech. So it picked an engineer. John Ternus. 25 years at Apple. He led the shift to Apple Silicon. Killed Intel. Shipped the M1. Hardware lead on every iPhone, Mac, iPad, and Vision Pro of the last decade. The same week he becomes CEO, OpenAI and Anthropic are buying tens of thousands of his Mac minis to train AI agents. Apple hardware became critical AI infrastructure without Apple building a single AI model. The AI war won't be won by chatbots. It'll be won on the chips AI runs on. Ternus built those chips. Tim Cook's last words as CEO: "My title changes tomorrow, but the love I have for the Apple community never will." The hardest shoes in tech were handed to the quietest engineer in the room.

Vaibhav Sisinty

706,017 次观看 • 1 天前

Did xAI just mass-murder the entire voice AI industry? 🤯 Grok just launched two voice APIs. Speech-to-Text and Text-to-Speech. Built on the same stack powering Tesla cars and Starlink support. And priced at 10x cheaper than ElevenLabs. Speech-to-Text: $0.10/hr batch. $0.20/hr streaming. Text-to-Speech: $4.20 per million characters. 25+ languages. Real-time streaming. Speaker diarization. Already outperforming ElevenLabs, Deepgram, and AssemblyAI on word error rate. TTS ships with expressive tags like [laugh], [sigh], , . Voices that don't sound like robots reading a script. ElevenLabs spent years building a voice AI company. xAI built voice AI for cars and satellites.

Did xAI just mass-murder the entire voice AI industry? 🤯 Grok just launched two voice APIs. Speech-to-Text and Text-to-Speech. Built on the same stack powering Tesla cars and Starlink support. And priced at 10x cheaper than ElevenLabs. Speech-to-Text: $0.10/hr batch. $0.20/hr streaming. Text-to-Speech: $4.20 per million characters. 25+ languages. Real-time streaming. Speaker diarization. Already outperforming ElevenLabs, Deepgram, and AssemblyAI on word error rate. TTS ships with expressive tags like [laugh], [sigh], , . Voices that don't sound like robots reading a script. ElevenLabs spent years building a voice AI company. xAI built voice AI for cars and satellites.

Vaibhav Sisinty

24,535,705 次观看 • 4 个月前

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.

Vaibhav Sisinty

509,027 次观看 • 7 天前

An Indian engineer in Bengaluru got tired of potholes destroying his car. So he built an app with Codex that detects them, finds who is responsible, and files a complaint. Here is how it works. He installed a dashcam with GPS and an accelerometer. The app records everything while he drives. A vision model classifies every pothole by size. Small, medium, large. But here is the clever part. Most Indian roads are under warranty. The contractor who built them is legally responsible for fixing potholes for free. His app searches through 2,900 government contracts, finds the exact tender number, identifies the officer responsible, attaches the photo and geolocation, and generates a ready-to-file complaint. One drive to work. 12 potholes detected. 12 complaints ready. -- vc: Gaurav Sen

An Indian engineer in Bengaluru got tired of potholes destroying his car. So he built an app with Codex that detects them, finds who is responsible, and files a complaint. Here is how it works. He installed a dashcam with GPS and an accelerometer. The app records everything while he drives. A vision model classifies every pothole by size. Small, medium, large. But here is the clever part. Most Indian roads are under warranty. The contractor who built them is legally responsible for fixing potholes for free. His app searches through 2,900 government contracts, finds the exact tender number, identifies the officer responsible, attaches the photo and geolocation, and generates a ready-to-file complaint. One drive to work. 12 potholes detected. 12 complaints ready. -- vc: Gaurav Sen

Vaibhav Sisinty

765,012 次观看 • 17 天前

Someone on Reddit just built a AAA-quality snow simulation in their browser. Using Claude Opus 5. Millions of snow particles. A character in a robe with cloth physics. Five water-based spells that carve the terrain. A snow surfing system with a wake that throws spray into sunlight. Every footstep displaces snow. Trails form berms at the edges. Trenches slowly refill over time. Spells leave permanent craters. The entire thing runs in one browser tab. WebGPU. No game engine. No 3D modeling software. Just code. He wrote one detailed prompt. Opus 5 planned the architecture, wrote the shaders, built the physics, iterated from screenshots, and documented every decision. 9 hours. ~4 million tokens. You can open it right now and walk around in it. This isn't a demo. This is the kind of thing a small studio would spend months building.

Someone on Reddit just built a AAA-quality snow simulation in their browser. Using Claude Opus 5. Millions of snow particles. A character in a robe with cloth physics. Five water-based spells that carve the terrain. A snow surfing system with a wake that throws spray into sunlight. Every footstep displaces snow. Trails form berms at the edges. Trenches slowly refill over time. Spells leave permanent craters. The entire thing runs in one browser tab. WebGPU. No game engine. No 3D modeling software. Just code. He wrote one detailed prompt. Opus 5 planned the architecture, wrote the shaders, built the physics, iterated from screenshots, and documented every decision. 9 hours. ~4 million tokens. You can open it right now and walk around in it. This isn't a demo. This is the kind of thing a small studio would spend months building.

Vaibhav Sisinty

1,219,163 次观看 • 1 个月前

Jeff Bezos just came out of retirement. His first CEO role since leaving Amazon. And he's building something nobody expected. 🤯 It's called Prometheus. $12 billion raised. $41 billion valuation. Backed by JPMorgan, BlackRock, Goldman Sachs, and Bezos himself. 150 employees. $273 million per person. That's how much investors are betting on this. But here's what makes it different from every other AI company. Prometheus isn't building another chatbot. It's not generating text or images. It's building what Bezos calls an "artificial general engineer" AI that designs jet engines, optimizes manufacturing, and prototypes physical products. LLMs learned from the internet's text. Prometheus is learning from the physical world physics, simulations, engineering data, manufacturing processes. In Bezos' own words: "Something that takes 100 engineers 10 years to build we want to make that 10 engineers, one year." His co-CEO is Vik Bajaj, former Google X executive who worked with Sergey Brin on what became Waymo. No ties to Amazon. No ties to Blue Origin. Bezos said "it deserves a dedicated team obsessed with this one thing." While everyone is racing to build the best AI for words, Bezos is quietly building AI for the physical world. That might be the bigger bet.

Jeff Bezos just came out of retirement. His first CEO role since leaving Amazon. And he's building something nobody expected. 🤯 It's called Prometheus. $12 billion raised. $41 billion valuation. Backed by JPMorgan, BlackRock, Goldman Sachs, and Bezos himself. 150 employees. $273 million per person. That's how much investors are betting on this. But here's what makes it different from every other AI company. Prometheus isn't building another chatbot. It's not generating text or images. It's building what Bezos calls an "artificial general engineer" AI that designs jet engines, optimizes manufacturing, and prototypes physical products. LLMs learned from the internet's text. Prometheus is learning from the physical world physics, simulations, engineering data, manufacturing processes. In Bezos' own words: "Something that takes 100 engineers 10 years to build we want to make that 10 engineers, one year." His co-CEO is Vik Bajaj, former Google X executive who worked with Sergey Brin on what became Waymo. No ties to Amazon. No ties to Blue Origin. Bezos said "it deserves a dedicated team obsessed with this one thing." While everyone is racing to build the best AI for words, Bezos is quietly building AI for the physical world. That might be the bigger bet.

Vaibhav Sisinty

1,343,221 次观看 • 2 个月前

Cancer is cured by AI. GitLab founder Sid Sijbrandij was diagnosed with stage 4 spinal cancer. Every trial rejected him. His doctors had nothing left to offer. So he stopped being a patient. He built an AI research team. Fed them 25TB of his own medical data genomics, scans, treatment history, everything. The system found a treatment his entire oncology team had missed. Then engineered 19 custom vaccines from his own DNA. Relapse-free since 2025. Then he uploaded the entire blueprint. Free. For every person sitting in that same room, hearing the same verdict, with nobody left to call. Medicine runs on averages. AI runs on you.

Cancer is cured by AI. GitLab founder Sid Sijbrandij was diagnosed with stage 4 spinal cancer. Every trial rejected him. His doctors had nothing left to offer. So he stopped being a patient. He built an AI research team. Fed them 25TB of his own medical data genomics, scans, treatment history, everything. The system found a treatment his entire oncology team had missed. Then engineered 19 custom vaccines from his own DNA. Relapse-free since 2025. Then he uploaded the entire blueprint. Free. For every person sitting in that same room, hearing the same verdict, with nobody left to call. Medicine runs on averages. AI runs on you.

Vaibhav Sisinty

1,012,986 次观看 • 4 个月前

Usain Bolt’s 9.58s 100m record just got smoked… by a robot. Honor’s humanoid “Lightning” tore down the track in 9.32 seconds, hitting a top speed of 14.5 m/s. Then it full-sent into a safety wall at the end. Just a robot that runs faster than the fastest human who ever lived and still walks it off. The future isn’t coming. It’s already lapping us.

Usain Bolt’s 9.58s 100m record just got smoked… by a robot. Honor’s humanoid “Lightning” tore down the track in 9.32 seconds, hitting a top speed of 14.5 m/s. Then it full-sent into a safety wall at the end. Just a robot that runs faster than the fastest human who ever lived and still walks it off. The future isn’t coming. It’s already lapping us.

Vaibhav Sisinty

69,068 次观看 • 10 天前

Sam Altman said we're 6 months away from a version of ChatGPT that can watch your screen, record every meeting and call, and have perfect context of your entire life. Connect it to your texts, emails, docs, Slack you choose what it sees. It won't make decisions for you. But it'll work alongside you. Catch mistakes. Suggest ideas. Handle things you don't have time for. His exact words "We're only one model generation away from this being incredibly useful."

Sam Altman said we're 6 months away from a version of ChatGPT that can watch your screen, record every meeting and call, and have perfect context of your entire life. Connect it to your texts, emails, docs, Slack you choose what it sees. It won't make decisions for you. But it'll work alongside you. Catch mistakes. Suggest ideas. Handle things you don't have time for. His exact words "We're only one model generation away from this being incredibly useful."

Vaibhav Sisinty

74,266 次观看 • 15 天前

A Chinese company just dropped a robot dog that switches between wheels and legs on its own. Wheels on flat ground. Legs on stairs, rocks, streams, cliffs. It decides in real time. No human input. 25 kg. Carries 16 kg while walking. Runs at 6 meters per second. 30 km range on one charge. Works in -20°C to 55°C. The demo shows it crossing streams, climbing cliff faces, and running through mud like nothing.

A Chinese company just dropped a robot dog that switches between wheels and legs on its own. Wheels on flat ground. Legs on stairs, rocks, streams, cliffs. It decides in real time. No human input. 25 kg. Carries 16 kg while walking. Runs at 6 meters per second. 30 km range on one charge. Works in -20°C to 55°C. The demo shows it crossing streams, climbing cliff faces, and running through mud like nothing.

Vaibhav Sisinty

148,028 次观看 • 1 个月前

I just found out OpenAI gives you $50,000 in free API credits if you do one thing in settings. 🤯 It's called the Data Sharing Program. No free trial exists for the API. But this does. Go to your OpenAI Dashboard → Data Controls → Sharing. Opt in. You get $50,000 in credits for their latest models or 2.5 million tokens for the rest. The catch: your data gets used by OpenAI for training and improvements. So don't use this for client work or anything sensitive. Use it for learning, side projects, and experiments.

I just found out OpenAI gives you $50,000 in free API credits if you do one thing in settings. 🤯 It's called the Data Sharing Program. No free trial exists for the API. But this does. Go to your OpenAI Dashboard → Data Controls → Sharing. Opt in. You get $50,000 in credits for their latest models or 2.5 million tokens for the rest. The catch: your data gets used by OpenAI for training and improvements. So don't use this for client work or anything sensitive. Use it for learning, side projects, and experiments.

Vaibhav Sisinty

276,299 次观看 • 2 个月前

Someone ran Opus 5 for 12 hours straight on Ultracode with a multi-agent loop. It built a full 3D Pokémon game. Pallet Town. Explorable. A complete game that would have taken a small team weeks. Built overnight by one person who went to sleep and woke up to a finished Pokémon world. We're watching people ship childhood dreams as overnight side projects now.

Someone ran Opus 5 for 12 hours straight on Ultracode with a multi-agent loop. It built a full 3D Pokémon game. Pallet Town. Explorable. A complete game that would have taken a small team weeks. Built overnight by one person who went to sleep and woke up to a finished Pokémon world. We're watching people ship childhood dreams as overnight side projects now.

Vaibhav Sisinty

58,838 次观看 • 1 个月前

"AI is like oil." Chamath's latest take on All-In is the simplest explanation of why AI pricing is about to collapse. He said think of one million AI tokens as one barrel of intelligence. Anthropic sells that barrel for $56. OpenAI sells it for $26. Elon sells it for $1. Zuck sells it for $1.50. Google sells it for $1. The Chinese sell it for 50 cents. Same barrel. Wildly different prices. His point: "If you've made a bet around one of these folks selling extremely expensive barrels of intelligence, you may run into some downstream difficulty." The capability gap between the expensive models and the cheap ones is shrinking every month. The pricing gap hasn't caught up yet. When it does, someone's margins collapse. This is the AI pricing reckoning nobody wants to talk about.

"AI is like oil." Chamath's latest take on All-In is the simplest explanation of why AI pricing is about to collapse. He said think of one million AI tokens as one barrel of intelligence. Anthropic sells that barrel for $56. OpenAI sells it for $26. Elon sells it for $1. Zuck sells it for $1.50. Google sells it for $1. The Chinese sell it for 50 cents. Same barrel. Wildly different prices. His point: "If you've made a bet around one of these folks selling extremely expensive barrels of intelligence, you may run into some downstream difficulty." The capability gap between the expensive models and the cheap ones is shrinking every month. The pricing gap hasn't caught up yet. When it does, someone's margins collapse. This is the AI pricing reckoning nobody wants to talk about.

Vaibhav Sisinty

80,360 次观看 • 1 个月前

Someone on Reddit built an open-source canvas where you handwrite math and physics on a whiteboard, and Claude responds right next to your handwriting. In real time. It's called PenEcho. You sketch equations, draw diagrams, scribble notes wherever they make sense. When you pause, it sends that region to the model. The response appears beside your work. Not in a chat window. On the whiteboard itself. The canvas is 20,000 x 20,000 pixels but only loads tiles where ink exists. Each request costs a few cents. Runs locally. Supports Claude, OpenAI, and Codex. The builder said something that stuck with me: six months ago, no model could have done this. Not the handwriting recognition. The fact that it understands unfinished equations, rough diagrams, and the spatial relationship between them. It infers what you meant from incomplete marks. This is how research should work. Think on a whiteboard. AI thinks with you. No copy-pasting into a chat box. No breaking your train of thought.

Someone on Reddit built an open-source canvas where you handwrite math and physics on a whiteboard, and Claude responds right next to your handwriting. In real time. It's called PenEcho. You sketch equations, draw diagrams, scribble notes wherever they make sense. When you pause, it sends that region to the model. The response appears beside your work. Not in a chat window. On the whiteboard itself. The canvas is 20,000 x 20,000 pixels but only loads tiles where ink exists. Each request costs a few cents. Runs locally. Supports Claude, OpenAI, and Codex. The builder said something that stuck with me: six months ago, no model could have done this. Not the handwriting recognition. The fact that it understands unfinished equations, rough diagrams, and the spatial relationship between them. It infers what you meant from incomplete marks. This is how research should work. Think on a whiteboard. AI thinks with you. No copy-pasting into a chat box. No breaking your train of thought.

Vaibhav Sisinty

69,789 次观看 • 1 个月前

Urban Company just launched maid services at ₹49/hour! Sounds crazy? Maybe. But there’s a solid strategy behind it. From my time at Uber, I’ve seen moves like this before—and I’m breaking it down for you. Check out my latest video to see why they’re playing the long game. Most won’t care, but the smart ones will. This one’s for you. 🚀

Urban Company just launched maid services at ₹49/hour! Sounds crazy? Maybe. But there’s a solid strategy behind it. From my time at Uber, I’ve seen moves like this before—and I’m breaking it down for you. Check out my latest video to see why they’re playing the long game. Most won’t care, but the smart ones will. This one’s for you. 🚀

Vaibhav Sisinty

395,778 次观看 • 1 年前

Sam Altman shared a number that should change how you think about AI. Six and a half years ago, the heaviest AI user on the planet was an OpenAI employee. Using 100,000 tokens a month. That was considered insane at the time. The global average was basically zero. Today the global average is 100,000 tokens a month. What was insane is now normal. And the heaviest user at OpenAI right now? Hundreds of billions of tokens a month. Now here's where it gets wild. If the same pattern repeats, in another six and a half years the average person will use 500 billion tokens a month. That's a 5 million x increase from today. Think about what that means. → AI is not something you open once a day to ask a question anymore. It becomes always on. Running in the background across your work, education, personal life. → Agentic workflows, coding assistants, multi-step reasoning — that's what consumes billions of tokens. Not chatting. → OpenAI is already building for this. Hundreds of billions in infrastructure spend through 2030. Stargate. Partnerships with Microsoft, Oracle, Nvidia. And cost per token keeps falling roughly 10x every 12 months for the same capability level. So usage explodes because it keeps getting cheaper. The pattern is the same one we saw with computing, internet, and mobile. What the power user does today, the average person does in six years. Right now you are the power user. Act like it.

Sam Altman shared a number that should change how you think about AI. Six and a half years ago, the heaviest AI user on the planet was an OpenAI employee. Using 100,000 tokens a month. That was considered insane at the time. The global average was basically zero. Today the global average is 100,000 tokens a month. What was insane is now normal. And the heaviest user at OpenAI right now? Hundreds of billions of tokens a month. Now here's where it gets wild. If the same pattern repeats, in another six and a half years the average person will use 500 billion tokens a month. That's a 5 million x increase from today. Think about what that means. → AI is not something you open once a day to ask a question anymore. It becomes always on. Running in the background across your work, education, personal life. → Agentic workflows, coding assistants, multi-step reasoning — that's what consumes billions of tokens. Not chatting. → OpenAI is already building for this. Hundreds of billions in infrastructure spend through 2030. Stargate. Partnerships with Microsoft, Oracle, Nvidia. And cost per token keeps falling roughly 10x every 12 months for the same capability level. So usage explodes because it keeps getting cheaper. The pattern is the same one we saw with computing, internet, and mobile. What the power user does today, the average person does in six years. Right now you are the power user. Act like it.

Vaibhav Sisinty

24,323 次观看 • 29 天前

Gemma 4 dropped less than 48 hours ago. And people are already building wild stuff with it. 🤯 6 examples ↓

Gemma 4 dropped less than 48 hours ago. And people are already building wild stuff with it. 🤯 6 examples ↓

Vaibhav Sisinty

96,807 次观看 • 5 个月前

Sam Altman paid $6.5B for Jony Ive. The man who designed the iPhone is now building the device meant to kill it. No apps. Just AI agents. OpenAI already lives inside every iPhone. So why build their own? Because to be Apple's size, you eventually have to do what Apple does. Own the device

Sam Altman paid $6.5B for Jony Ive. The man who designed the iPhone is now building the device meant to kill it. No apps. Just AI agents. OpenAI already lives inside every iPhone. So why build their own? Because to be Apple's size, you eventually have to do what Apple does. Own the device

Vaibhav Sisinty

73,736 次观看 • 4 个月前

I just found a way to use Claude Code completely free. Claude Code is Anthropic’s terminal coding agent that usually needs a paid API key to run. But a viral GitHub project called Free Claude Code, now sitting at 37k stars, lets you skip the billing entirely. It works as a tiny proxy that sits between Claude Code and free model providers like NVIDIA NIM, OpenRouter, DeepSeek, and Gemini. Every request Claude Code would send to Anthropic gets quietly rerouted to a free model on the other side. The interface stays the same. What’s actually thinking behind it changes. Setup takes a couple of quick commands and a free API key from NVIDIA NIM or OpenRouter. Paste it into the local dashboard, pick a model, and you’re building. The catch is you’re not really using Claude anymore. But when the code ships, does the model badge matter? -- I have shared the Github Link in my free Whatsapp Community ↓

I just found a way to use Claude Code completely free. Claude Code is Anthropic’s terminal coding agent that usually needs a paid API key to run. But a viral GitHub project called Free Claude Code, now sitting at 37k stars, lets you skip the billing entirely. It works as a tiny proxy that sits between Claude Code and free model providers like NVIDIA NIM, OpenRouter, DeepSeek, and Gemini. Every request Claude Code would send to Anthropic gets quietly rerouted to a free model on the other side. The interface stays the same. What’s actually thinking behind it changes. Setup takes a couple of quick commands and a free API key from NVIDIA NIM or OpenRouter. Paste it into the local dashboard, pick a model, and you’re building. The catch is you’re not really using Claude anymore. But when the code ships, does the model badge matter? -- I have shared the Github Link in my free Whatsapp Community ↓

Vaibhav Sisinty

36,892 次观看 • 2 个月前

Someone on Reddit built a real operating system using Claude. Not a browser app pretending to be one. An actual OS that runs on bare metal. It's called Fable-OS. The only interface is a sentence. No bash. No commands. You type what you want and an AI agent executes it through direct kernel syscalls. Everything runs in Ring 0. In the demo, the agent realized it didn't have a sound driver. So it found the Intel sound card, built a driver for it from scratch, and played a sound. On its own. The OS writes its own drivers. Evolves itself. The agent's tools are the kernel itself. Open source. Built because the developer got tired of people calling browser apps "AI operating systems." This one actually is.

Someone on Reddit built a real operating system using Claude. Not a browser app pretending to be one. An actual OS that runs on bare metal. It's called Fable-OS. The only interface is a sentence. No bash. No commands. You type what you want and an AI agent executes it through direct kernel syscalls. Everything runs in Ring 0. In the demo, the agent realized it didn't have a sound driver. So it found the Intel sound card, built a driver for it from scratch, and played a sound. On its own. The OS writes its own drivers. Evolves itself. The agent's tools are the kernel itself. Open source. Built because the developer got tired of people calling browser apps "AI operating systems." This one actually is.

Vaibhav Sisinty

20,562 次观看 • 1 个月前