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a Google researcher walked into MIT and made an AI do math correctly by adding seven words to the prompt. the seven words: "you are an MIT mathematician." drop them, model gets it wrong. add them, right. same model. same question. every time. Carter Smith. runs Gemini at Google.... show more

Raytar

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20,399 görüntüleme • 22 gün önce •via X (Twitter)

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he tested 5760 architectures at Google for a full year. the winner was the original Transformer from 2017. Hyung Won Chung told that story at MIT with a small smile. then went to OpenAI and trained o1. 1 hour. free. by one of the few people on earth who actually moves the frontier. meanwhile your feed is full of guys writing architecture threads who have never trained a model anyone uses. he just told MIT that 99% of AI research is theater. your AI worldview was built by men who read his papers. badly. now you can read him directly. you will rewatch this. save it now.

he tested 5760 architectures at Google for a full year. the winner was the original Transformer from 2017. Hyung Won Chung told that story at MIT with a small smile. then went to OpenAI and trained o1. 1 hour. free. by one of the few people on earth who actually moves the frontier. meanwhile your feed is full of guys writing architecture threads who have never trained a model anyone uses. he just told MIT that 99% of AI research is theater. your AI worldview was built by men who read his papers. badly. now you can read him directly. you will rewatch this. save it now.

Raytar

107,152 görüntüleme • 23 gün önce

She said she needs money. He opened Google Maps. Found a burger spot with no website. Gave AI the name and two photos. Fifteen minutes later a full website was sitting on his screen. Called the owner. "I made you a website." The owner said how much. "$1,500." Paid same day. That was a Tuesday. By Friday he'd done it three more times. There are 3 million restaurants on Google Maps right now with no website. All of them need one. None of them know how easy it is to make. He knows. She quit her job within a month.

She said she needs money. He opened Google Maps. Found a burger spot with no website. Gave AI the name and two photos. Fifteen minutes later a full website was sitting on his screen. Called the owner. "I made you a website." The owner said how much. "$1,500." Paid same day. That was a Tuesday. By Friday he'd done it three more times. There are 3 million restaurants on Google Maps right now with no website. All of them need one. None of them know how easy it is to make. He knows. She quit her job within a month.

Raytar

74,651 görüntüleme • 12 gün önce

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,386 görüntüleme • 2 ay önce

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

Lior Alexander

83,409 görüntüleme • 2 yıl önce

A roofer in LA paid $1,700 for a website. It took the guy who made it 9 minutes. $11,900 last month. 7 clients. $29 in costs. He finds businesses on Google Maps that have no website. Types one prompt. AI builds the whole site. He sends a link and a price. He had to ask his mom "how to send an invoice" before his first client. He's 19. works maybe 2 hours a week. You're reading this on a phone that can do the same thing.

A roofer in LA paid $1,700 for a website. It took the guy who made it 9 minutes. $11,900 last month. 7 clients. $29 in costs. He finds businesses on Google Maps that have no website. Types one prompt. AI builds the whole site. He sends a link and a price. He had to ask his mom "how to send an invoice" before his first client. He's 19. works maybe 2 hours a week. You're reading this on a phone that can do the same thing.

Raytar

428,484 görüntüleme • 8 gün önce

This 1 hour MIT lecture about "Machine Learning" will tell you more about how to build your own ML model than 2 months of internship at OpenAI. Bookmark this & give it 1 hour today, no matter what. This will change the way you use AI. Then read the post below.

This 1 hour MIT lecture about "Machine Learning" will tell you more about how to build your own ML model than 2 months of internship at OpenAI. Bookmark this & give it 1 hour today, no matter what. This will change the way you use AI. Then read the post below.

Movez

83,639 görüntüleme • 2 ay önce

Google just made websites obsolete. Antigravity 2.0 builds full landing pages while you watch. Here’s how this actually works in real life. → You type one prompt → AI plans the entire app → It writes the code → Tests it in a browser → Fixes errors automatically → Deploys it live No devs. No templates. No monthly fees. Powered by Gemini 3 + parallel AI agents, so design, backend, and testing happen at the same time. This is how people are launching pages in under 5 minutes. Save this video, you’ll use it again. Want the SOP? DM me. 💬

Google just made websites obsolete. Antigravity 2.0 builds full landing pages while you watch. Here’s how this actually works in real life. → You type one prompt → AI plans the entire app → It writes the code → Tests it in a browser → Fixes errors automatically → Deploys it live No devs. No templates. No monthly fees. Powered by Gemini 3 + parallel AI agents, so design, backend, and testing happen at the same time. This is how people are launching pages in under 5 minutes. Save this video, you’ll use it again. Want the SOP? DM me. 💬

Julian Goldie SEO

12,967 görüntüleme • 4 ay önce

MIT HANDED ITS DEEP LEARNING COURSE TO A FRONTIER-LAB ENGINEER FOR 68 MINUTES BECAUSE 90% OF PEOPLE SHIPPING AI CODE CAN'T EXPLAIN HOW THE MODEL ACTUALLY WORKS This is Maxime Labonne. He runs post-training at Liquid AI and wrote the LLM Engineer's Handbook. MIT gave him the room to break down the engine sitting inside every coding agent you've ever prompted. Twenty minutes in it stops being abstract. You finally see why the model confidently invents things that don't exist, why context is everything, and why "Just tell it to try again" sometimes fixes it and sometimes makes it worse. In 2026 "I use AI to code" stopped being a skill. Knowing why the model behaves the way it does -> tokens, context, post-training, where it quietly breaks -> is what separates someone who ships from someone babysitting a black box. Understanding an LLM isn't a research-team luxury anymore -> it's the difference between driving the agent and being driven by it. Anyone can prompt. The person who knows what's under the hood is the one still standing when the prompt stops working. Save this one & actually finish it ↓

MIT HANDED ITS DEEP LEARNING COURSE TO A FRONTIER-LAB ENGINEER FOR 68 MINUTES BECAUSE 90% OF PEOPLE SHIPPING AI CODE CAN'T EXPLAIN HOW THE MODEL ACTUALLY WORKS This is Maxime Labonne. He runs post-training at Liquid AI and wrote the LLM Engineer's Handbook. MIT gave him the room to break down the engine sitting inside every coding agent you've ever prompted. Twenty minutes in it stops being abstract. You finally see why the model confidently invents things that don't exist, why context is everything, and why "Just tell it to try again" sometimes fixes it and sometimes makes it worse. In 2026 "I use AI to code" stopped being a skill. Knowing why the model behaves the way it does -> tokens, context, post-training, where it quietly breaks -> is what separates someone who ships from someone babysitting a black box. Understanding an LLM isn't a research-team luxury anymore -> it's the difference between driving the agent and being driven by it. Anyone can prompt. The person who knows what's under the hood is the one still standing when the prompt stops working. Save this one & actually finish it ↓

slash1s

234,552 görüntüleme • 18 gün önce

Gemini 2.5 Flash Preview is an amazing model. Google is literally winning. No stopping them now, this is not normal. Gemini 2.5 Flash is very cheap and super intelligent model. Intelligence too cheap to meter this is what it means. Thank you, Google.

Gemini 2.5 Flash Preview is an amazing model. Google is literally winning. No stopping them now, this is not normal. Gemini 2.5 Flash is very cheap and super intelligent model. Intelligence too cheap to meter this is what it means. Thank you, Google.

AshutoshShrivastava

154,366 görüntüleme • 1 yıl önce

ANDREJ KARPATHY WAS RIGHT. THIS 40-MINUTE Y COMBINATOR LECTURE PROVES IT we're in the 1960s of LLMs most people using Claude have the wrong mental model Software 3.0. LLMs as operating systems how to actually think about and work with them save this 👇

ANDREJ KARPATHY WAS RIGHT. THIS 40-MINUTE Y COMBINATOR LECTURE PROVES IT we're in the 1960s of LLMs most people using Claude have the wrong mental model Software 3.0. LLMs as operating systems how to actually think about and work with them save this 👇

Mr. Buzzoni

326,008 görüntüleme • 1 ay önce

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

Gipp 🦅

14,871 görüntüleme • 19 gün önce

From time to time I still have my accent. There are a ton of words I’m constantly pronouncing wrong or can’t say right at all. This man just figured out the same thing. He’s been saying many of the words he uses daily incorrectly. I know it varies by region, from the NYC accent to the southern accent. I think that’s what makes us unique. Have you tried this as well? Are you saying all the words correctly?

From time to time I still have my accent. There are a ton of words I’m constantly pronouncing wrong or can’t say right at all. This man just figured out the same thing. He’s been saying many of the words he uses daily incorrectly. I know it varies by region, from the NYC accent to the southern accent. I think that’s what makes us unique. Have you tried this as well? Are you saying all the words correctly?

SonnyBoy🇺🇸

89,279 görüntüleme • 20 gün önce

two OpenAI researchers walked into Stanford and made every AI thread on your feed look like fan fiction. Jason Wei invented Chain of Thought. Hyung Won Chung built o1. 1 hour. free. Jason shows the chart that explains why AI suddenly gets new abilities. even OpenAI cannot predict when. Hyung Won shows the one trend that controls the entire field. every AI headline fits one frame after this. every other AI take on your feed is grown men playing dress up. skip this and every AI thread feels hollow. save this. you will rewatch it.

two OpenAI researchers walked into Stanford and made every AI thread on your feed look like fan fiction. Jason Wei invented Chain of Thought. Hyung Won Chung built o1. 1 hour. free. Jason shows the chart that explains why AI suddenly gets new abilities. even OpenAI cannot predict when. Hyung Won shows the one trend that controls the entire field. every AI headline fits one frame after this. every other AI take on your feed is grown men playing dress up. skip this and every AI thread feels hollow. save this. you will rewatch it.

Raytar

16,960 görüntüleme • 22 gün önce

CEOs fly to Davos and pay $500,000 for 30 minutes with Jensen Huang. You just got an hour for free. Without Jensen Huang there is no ChatGPT, no Claude, no Gemini, no Kimi, no AI revolution. Every model you've ever used runs on hardware he built. Leather jacket, Stanford lecture hall, One hour explaining the compute behind intelligence, how it's built, what it costs and where it's going. No connections, no conference badge, no $500,000 wire transfer, just a link and 60 minutes. Just the man who made modern AI physically possible giving it all away for free. The article below connects the dots on where this is all heading and why Kimi is worth paying attention to right now.

CEOs fly to Davos and pay $500,000 for 30 minutes with Jensen Huang. You just got an hour for free. Without Jensen Huang there is no ChatGPT, no Claude, no Gemini, no Kimi, no AI revolution. Every model you've ever used runs on hardware he built. Leather jacket, Stanford lecture hall, One hour explaining the compute behind intelligence, how it's built, what it costs and where it's going. No connections, no conference badge, no $500,000 wire transfer, just a link and 60 minutes. Just the man who made modern AI physically possible giving it all away for free. The article below connects the dots on where this is all heading and why Kimi is worth paying attention to right now.

Defileo🔮

1,159,623 görüntüleme • 28 gün önce

These twins say the same words at the same time, no matter how you try to separate them. How is this possible?

These twins say the same words at the same time, no matter how you try to separate them. How is this possible?

TENIOLA

1,060,198 görüntüleme • 1 yıl önce

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Riley Brown

31,043 görüntüleme • 1 yıl önce

Released today: Gemini 3.1 Flash TTS 🔊 A text-to-speech model you actually direct. Add [whispers] and it whispers. Add [shouting] and it shouts. Mid-sentence. eg. "[asmr] Hey there, [deep and loud] TURN THIS UP, [asmr] how can I help you?" Now available in Google AI Studio & Gemini API.

Released today: Gemini 3.1 Flash TTS 🔊 A text-to-speech model you actually direct. Add [whispers] and it whispers. Add [shouting] and it shouts. Mid-sentence. eg. "[asmr] Hey there, [deep and loud] TURN THIS UP, [asmr] how can I help you?" Now available in Google AI Studio & Gemini API.

Philipp Schmid

118,005 görüntüleme • 2 ay önce

"I was definitely the first prompt engineer at Anthropic. Might have been the first in the world." Alex Albert just spent 35 minutes explaining how they train Claude's personality from the inside. 35 minutes. free. by the person who invented the role. most people think Claude's character is a system prompt. it's not. you'll never look at Claude the same way.

"I was definitely the first prompt engineer at Anthropic. Might have been the first in the world." Alex Albert just spent 35 minutes explaining how they train Claude's personality from the inside. 35 minutes. free. by the person who invented the role. most people think Claude's character is a system prompt. it's not. you'll never look at Claude the same way.

Raytar

153,898 görüntüleme • 26 gün önce

Jim Simons made 66%/YEAR for thirty years at Renaissance and never let an outside dollar through the door. Andrew Lo runs the MIT Laboratory for Financial Engineering and trained half the senior quants at Citadel, AQR, and Two Sigma. In 2019 they sat down at MIT for one hour and 28 minutes. The only time Simons ever talked publicly about money with someone who understood the math. Sitting on the Finance at MIT channel. Almost nobody outside academia has watched it through. Bookmark it tonight. Then read the article below.

Jim Simons made 66%/YEAR for thirty years at Renaissance and never let an outside dollar through the door. Andrew Lo runs the MIT Laboratory for Financial Engineering and trained half the senior quants at Citadel, AQR, and Two Sigma. In 2019 they sat down at MIT for one hour and 28 minutes. The only time Simons ever talked publicly about money with someone who understood the math. Sitting on the Finance at MIT channel. Almost nobody outside academia has watched it through. Bookmark it tonight. Then read the article below.

zostaff

103,762 görüntüleme • 1 ay önce

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,589 görüntüleme • 7 ay önce