
Vaibhav Sisinty
@VaibhavSisinty • 171,618 subscribers
🔥 Building @GrowthSchoolio | Ex-Uber 📩 Collabs : [email protected] 🔗 Join the worlds largest AI community 👇
Shorts
Videos

The Anthropic researcher who quit went on CNN and said the AI industry is "gambling with our lives." His biggest fear: AI being used to make itself more intelligent. The exact thing OpenAI showed it's already doing three days ago. He told Anderson Cooper these companies are "compelled to race toward building a deadly technology." This isn't a critic on the outside. He was building it.
Vaibhav Sisinty279,230 görüntüleme • 1 gün önce

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 Sisinty24,536,356 görüntüleme • 4 ay önce

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 Sisinty512,470 görüntüleme • 17 gün önce

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 Sisinty767,669 görüntüleme • 27 gün önce

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 Sisinty1,219,622 görüntüleme • 1 ay önce

The man who predicted AI would match human intelligence, long before ChatGPT existed, made his next big bet. In 1999, Ray Kurzweil said computers would hit human-level intelligence by 2029. People laughed. We're now basically on schedule. His next bet is stranger. A brain-computer interface with no surgery. You inhale it. Charged nanoparticles go up your nose, ride the nerve that carries smell into your brain, and settle next to your neurons. An external headset then reads and triggers activity. The company is Subsense, and it's the mirror image of Neuralink. Musk drills into your head. Subsense wants you to inhale it like allergy spray. Here's the part worth slowing down for. Back in 2003, Kurzweil wrote that tiny nanobots would one day beat surgical brain implants. Twenty-three years later, he's joined the company trying to prove it. Two predictions, decades apart, both landing. But keep your head on. It's early. $27 million raised, no human trials until 2027. And "no surgery" isn't "safe." Pushing particles into your brain through your nose is still deeply invasive. So the real lesson is bigger than one nasal spray. Every shift in tech starts as a sentence that sounds insane. The skill isn't spotting the idea. It's spotting who's backing it, and what they got right last time. When the man who called modern AI in 1999 bets on the version everyone's mocking, that's not the punchline. That's the preview.
Vaibhav Sisinty51,590 görüntüleme • 4 gün önce

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 Sisinty1,343,944 görüntüleme • 3 ay önce

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 Sisinty1,013,141 görüntüleme • 5 ay önce

The AGI Headline Everyone Got Wrong ⬇️ OpenAI launched GPT-6 Astra and the internet decided AGI is here. Their president said it is not unreasonable to feel that way. The contract clause that legally defined AGI no longer exists. Meanwhile the model found security holes nobody knew existed and broke into a browser in twenty nine hours. The real story was never the word AGI.
Vaibhav Sisinty23,929 görüntüleme • 6 gün önce

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 Sisinty69,068 görüntüleme • 20 gün önce

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 Sisinty148,297 görüntüleme • 1 ay önce

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 Sisinty74,266 görüntüleme • 25 gün önce

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 Sisinty276,475 görüntüleme • 3 ay önce

"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 Sisinty80,360 görüntüleme • 1 ay önce

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 Sisinty69,870 görüntüleme • 1 ay önce

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 Sisinty395,778 görüntüleme • 1 yıl önce

Someone on Reddit shared an app they vibe coded with Claude Code. It scans your Rubik's Cube and solves it in 20 moves or less. 🤯 There is a math fact called God's Number. No matter how badly a Rubik's Cube is scrambled, it can always be solved in 20 moves or fewer. 43 quintillion possible positions. One solution path. Always 20 moves or under. Point your camera at the cube. It reads the colors using OpenCV. Captures all 6 faces. Figures out the exact scramble. Computes the shortest solution. A 3D guide walks you through each move. Runs entirely in a browser tab. Works reliably under bad lighting. You only need to show it 3 sides.
Vaibhav Sisinty42,232 görüntüleme • 2 ay önce

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 Sisinty73,736 görüntüleme • 4 ay önce

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 Sisinty24,323 görüntüleme • 1 ay önce