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Vaibhav Sisinty

@VaibhavSisinty • 163,298 subscribers

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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.

1,049,286 просмотров

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.

409,153 просмотров

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 просмотров

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 просмотров

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 просмотров

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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

24,531,575 просмотров • 3 месяцев назад

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

133,697 просмотров • 2 дней назад

OpenAI CEO Sam Altman says humanity is "now in the singularity." vc: Shadow of Ezra

OpenAI CEO Sam Altman says humanity is "now in the singularity." vc: Shadow of Ezra

Vaibhav Sisinty

34,164 просмотров • 1 день назад

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

1,342,219 просмотров • 1 месяц назад

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

1,011,751 просмотров • 3 месяцев назад

"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

79,839 просмотров • 10 дней назад

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

68,496 просмотров • 9 дней назад

This is actually insane. 🔥 NVIDIA built a single AI that replaces decades of animation technology. 15,000 frames per second. 2 milliseconds of delay. For robots and games. It's called MotionBricks. One neural network trained on 350,000 motion clips. You tell it: go here, pick up this sword, do it in zombie style. It generates everything else foot placement, balance, transitions, follow-through in real time. No animation graphs. No hand-crafted transitions. No per-task training. One model does it all. In the demo, a character navigates a space, picks up a sword, vaults over a bench, sits down, and switches between zombie, injured, and skipping styles. Every single frame generated live by the AI. And here's the part that matters most. This is now the core motion engine inside NVIDIA's GR00T the stack powering humanoid robots used in research globally. Same AI that animates game characters is now teaching robots how to move their entire body. vc: NVIDIA Robotics

This is actually insane. 🔥 NVIDIA built a single AI that replaces decades of animation technology. 15,000 frames per second. 2 milliseconds of delay. For robots and games. It's called MotionBricks. One neural network trained on 350,000 motion clips. You tell it: go here, pick up this sword, do it in zombie style. It generates everything else foot placement, balance, transitions, follow-through in real time. No animation graphs. No hand-crafted transitions. No per-task training. One model does it all. In the demo, a character navigates a space, picks up a sword, vaults over a bench, sits down, and switches between zombie, injured, and skipping styles. Every single frame generated live by the AI. And here's the part that matters most. This is now the core motion engine inside NVIDIA's GR00T the stack powering humanoid robots used in research globally. Same AI that animates game characters is now teaching robots how to move their entire body. vc: NVIDIA Robotics

Vaibhav Sisinty

260,012 просмотров • 1 месяц назад

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

275,641 просмотров • 1 месяц назад

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

36,647 просмотров • 25 дней назад

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 просмотров • 1 год назад

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

96,725 просмотров • 3 месяцев назад

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

73,659 просмотров • 2 месяцев назад

An Indian developer just reverse-engineered Google's AI mouse pointer and open sourced it. it sees your screen, understands context, clicks, types, navigates, and executes code. controls your entire device. not just one app. Built By : Milind S

An Indian developer just reverse-engineered Google's AI mouse pointer and open sourced it. it sees your screen, understands context, clicks, types, navigates, and executes code. controls your entire device. not just one app. Built By : Milind S

Vaibhav Sisinty

58,780 просмотров • 2 месяцев назад

Recruiters are cooked. 🤯 Claude can now read your resume and pull the highest-paying job roles you actually qualify for. ranked. in one chat. here's the whole setup: → connect apify to Claude. search and tools, add connectors, Apify. one click. → drop your resume in the chat. "based on my resume, find the highest-paying roles i should apply for right now." it pulls live listings from internet and ranks them by fit to your real experience, salary attached. → pick one. "tailor my resume for this role." it rewrites the keywords and framing to that exact job description. no fake "interview odds." real listings, ranked to you, then your resume rebuilt for the one you pick. the part of the job hunt you paid a recruiter for is now a chat window.

Recruiters are cooked. 🤯 Claude can now read your resume and pull the highest-paying job roles you actually qualify for. ranked. in one chat. here's the whole setup: → connect apify to Claude. search and tools, add connectors, Apify. one click. → drop your resume in the chat. "based on my resume, find the highest-paying roles i should apply for right now." it pulls live listings from internet and ranks them by fit to your real experience, salary attached. → pick one. "tailor my resume for this role." it rewrites the keywords and framing to that exact job description. no fake "interview odds." real listings, ranked to you, then your resume rebuilt for the one you pick. the part of the job hunt you paid a recruiter for is now a chat window.

Vaibhav Sisinty

53,082 просмотров • 2 месяцев назад

Aravind and team absolutely cooked with this one. This looks insane!! A single system that unifies files, tools, memory, and models, all working together for you. Also, love the name - Perplexity Computer. Congrats! Team :)

Aravind and team absolutely cooked with this one. This looks insane!! A single system that unifies files, tools, memory, and models, all working together for you. Also, love the name - Perplexity Computer. Congrats! Team :)

Vaibhav Sisinty

81,094 просмотров • 5 месяцев назад

I gave Grok 4.5 one prompt. "Build a full browser-based Windows OS clone with a desktop shell and working apps." This is what came out. 🤯 A working Windows environment. Running entirely in a browser tab. Desktop shell. Working apps. Full UI. One prompt. No refinement. And here is the part that actually matters. This is level 1 output. Straight out of the box. No iteration. No back and forth. No refinement. I have not sat with it yet. I have not pushed it further. I have not refined a single thing. If I did, this gets significantly better. SpaceXAI

I gave Grok 4.5 one prompt. "Build a full browser-based Windows OS clone with a desktop shell and working apps." This is what came out. 🤯 A working Windows environment. Running entirely in a browser tab. Desktop shell. Working apps. Full UI. One prompt. No refinement. And here is the part that actually matters. This is level 1 output. Straight out of the box. No iteration. No back and forth. No refinement. I have not sat with it yet. I have not pushed it further. I have not refined a single thing. If I did, this gets significantly better. SpaceXAI

Vaibhav Sisinty

11,170 просмотров • 16 дней назад

Did Google just mass-murdered every voice AI startup irrelevant? Google just shipped Gemini 3.1 Flash Live. Real-time voice AND vision. Sub-second latency. 90+ languages. And the one thing no voice AI has cracked until now: it filters background noise in real-world environments. Not demo environments. Real ones. Traffic outside. TV left on. Drill running next door. That's the wall every voice AI startup has been quietly hitting for three years. The demos worked. The deployments didn't. Because the real world is loud and messy and the models couldn't tell your voice from the noise around it. Google just called that problem solved. And it's not sitting in a research paper. It's already running in production apps. Stitch is using it to let designers talk to their canvas in real-time. Ato is using it to give elderly people a companion who actually listens. Wit's End built an RPG game master with it that delivers theatrical dialogue indistinguishable from a human voice actor. Three live products. Three different industries. All shipping now. Every voice AI startup just woke up to a new baseline. The question isn't whether to build with this. The question is how fast.

Did Google just mass-murdered every voice AI startup irrelevant? Google just shipped Gemini 3.1 Flash Live. Real-time voice AND vision. Sub-second latency. 90+ languages. And the one thing no voice AI has cracked until now: it filters background noise in real-world environments. Not demo environments. Real ones. Traffic outside. TV left on. Drill running next door. That's the wall every voice AI startup has been quietly hitting for three years. The demos worked. The deployments didn't. Because the real world is loud and messy and the models couldn't tell your voice from the noise around it. Google just called that problem solved. And it's not sitting in a research paper. It's already running in production apps. Stitch is using it to let designers talk to their canvas in real-time. Ato is using it to give elderly people a companion who actually listens. Wit's End built an RPG game master with it that delivers theatrical dialogue indistinguishable from a human voice actor. Three live products. Three different industries. All shipping now. Every voice AI startup just woke up to a new baseline. The question isn't whether to build with this. The question is how fast.

Vaibhav Sisinty

59,339 просмотров • 4 месяцев назад

Ex-Meta data scientist Tina Huang just shared her entire Claude Cowork setup.🤯 Most people are guessing their way through Cowork. She showed exactly how she runs it daily in 15 minutes. 15 minutes here saves you weeks of guessing. Watch it once. Set it up right. 👇

Ex-Meta data scientist Tina Huang just shared her entire Claude Cowork setup.🤯 Most people are guessing their way through Cowork. She showed exactly how she runs it daily in 15 minutes. 15 minutes here saves you weeks of guessing. Watch it once. Set it up right. 👇

Vaibhav Sisinty

26,209 просмотров • 1 месяц назад

This is insane.🤯 Someone just open-sourced professional motion capture. The same tech behind every Marvel movie and AAA game now runs on any webcam. Free. The only thing it needs is a camera. You already have one. It's called FreeMoCap and it just became a GitHub link. The barrier was never the talent. It was always the tools.

This is insane.🤯 Someone just open-sourced professional motion capture. The same tech behind every Marvel movie and AAA game now runs on any webcam. Free. The only thing it needs is a camera. You already have one. It's called FreeMoCap and it just became a GitHub link. The barrier was never the talent. It was always the tools.

Vaibhav Sisinty

37,613 просмотров • 3 месяцев назад