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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 Aufrufe • vor 1 Monat •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 Aufrufe • vor 1 Monat

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

75,101 Aufrufe • vor 1 Monat

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 Aufrufe • vor 3 Monaten

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

430,686 Aufrufe • vor 21 Tagen

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 Aufrufe • vor 2 Jahren

Gilbert Strang, MIT professor: "Citadel and OpenAI both pay $400K+ for people fluent in one branch of math. I taught it to the whole world from an MIT classroom, for free." this free MIT lecture is the whole engine under the "AI" everyone suddenly worships. strip the branding off a neural network and this is what's underneath: linear algebra, matrices multiplied over and over. the man teaching it spent fifty years at MIT and gave every lecture away for nothing. and what it does is simple. it lets you work with thousands of numbers at once instead of one at a time. how every asset moves against every other, the hidden factors driving a whole market, the guts of a neural net, all of it is just matrices. it is the grammar every model speaks, and it hasn't changed in decades. which is the entire point of the article above. renaissance was already running on this exact math in 1988. the "AI revolution" didn't build the engine, it just rebranded it. here is what the pitch skips. everyone's model runs on the same linear algebra, so the math was never the edge. the matrices don't care whose data goes in. cleaner data, and the discipline to trust the output, are the only parts anyone was ever really paying for.

Gilbert Strang, MIT professor: "Citadel and OpenAI both pay $400K+ for people fluent in one branch of math. I taught it to the whole world from an MIT classroom, for free." this free MIT lecture is the whole engine under the "AI" everyone suddenly worships. strip the branding off a neural network and this is what's underneath: linear algebra, matrices multiplied over and over. the man teaching it spent fifty years at MIT and gave every lecture away for nothing. and what it does is simple. it lets you work with thousands of numbers at once instead of one at a time. how every asset moves against every other, the hidden factors driving a whole market, the guts of a neural net, all of it is just matrices. it is the grammar every model speaks, and it hasn't changed in decades. which is the entire point of the article above. renaissance was already running on this exact math in 1988. the "AI revolution" didn't build the engine, it just rebranded it. here is what the pitch skips. everyone's model runs on the same linear algebra, so the math was never the edge. the matrices don't care whose data goes in. cleaner data, and the discipline to trust the output, are the only parts anyone was ever really paying for.

Rossst.03

33,926 Aufrufe • vor 11 Tagen

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

429,004 Aufrufe • vor 1 Monat

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

83,797 Aufrufe • vor 3 Monaten

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 Aufrufe • vor 5 Monaten

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

235,980 Aufrufe • vor 1 Monat

Co-Founder of a16z (the biggest VC fund in the world) Marc Andreessen: "People who want to build their careers should be spending every spare hour talking to AI: alright, train me up" He says this is the habit that separates who gets paid and who gets replaced In 1 hour 44 minutes, he explains why the people winning right now are training themselves on AI every spare hour Open the model Ask it to teach you Practice Ask again Repeat daily That is the new career ladder Bookmark and watch the interview

Co-Founder of a16z (the biggest VC fund in the world) Marc Andreessen: "People who want to build their careers should be spending every spare hour talking to AI: alright, train me up" He says this is the habit that separates who gets paid and who gets replaced In 1 hour 44 minutes, he explains why the people winning right now are training themselves on AI every spare hour Open the model Ask it to teach you Practice Ask again Repeat daily That is the new career ladder Bookmark and watch the interview

spect

151,254 Aufrufe • vor 21 Tagen

Andrej Karpathy in 1 hour reveal how he actually works with AI: "i just tell the machine what i want, in plain words" no prompt frameworks. no 40-line system prompts. no magic. by 2026 the engineer who dismisses LLMs loses to the junior who configured one right 1 hour. free. the most honest look at how the best in the world actually uses AI bookmark & watch

Andrej Karpathy in 1 hour reveal how he actually works with AI: "i just tell the machine what i want, in plain words" no prompt frameworks. no 40-line system prompts. no magic. by 2026 the engineer who dismisses LLMs loses to the junior who configured one right 1 hour. free. the most honest look at how the best in the world actually uses AI bookmark & watch

Morty

284,399 Aufrufe • vor 26 Tagen

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 1 Monat

Anthropic engineer: "Most people will use Sonnet 5 and Fable 5 wrong. You can set them up right in one afternoon and stop overpaying every single day." In 29 minutes, he breaks down every Claude model, and why running them all the same way is a mistake. Watch the session, then save the config below 👇

Anthropic engineer: "Most people will use Sonnet 5 and Fable 5 wrong. You can set them up right in one afternoon and stop overpaying every single day." In 29 minutes, he breaks down every Claude model, and why running them all the same way is a mistake. Watch the session, then save the config below 👇

darkzodchi

573,895 Aufrufe • vor 11 Tagen

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🇺🇸

89,840 Aufrufe • vor 1 Monat

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

1,060,245 Aufrufe • vor 1 Jahr

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🔮

1,160,862 Aufrufe • vor 1 Monat

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 Aufrufe • vor 1 Monat