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Anthropic Quant Andrej Karpathy: "Most people use tools that they don't understand - the ones who strip everything down to basics - end up faster than everyone else " "the best code is the code anyone can read " he couldn't fix a bug in 2 hours, so instead... show more

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378,849 görüntüleme • 1 ay önce •via X (Twitter)

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Andrej Karpathy could have charged $10,000 for this course. He put it on YouTube. The man who built Tesla Autopilot from scratch. Co-founded OpenAI. Understands AI at a level most engineers at Google and Meta never reach. Sat down. Recorded 2 hours. No frameworks. No libraries. No shortcuts. Then dropped it for free. The gap between people who watch it this week and those who save it for later is not 2 hours. It is everything those 2 hours quietly unlock for the rest of your career.

Andrej Karpathy could have charged $10,000 for this course. He put it on YouTube. The man who built Tesla Autopilot from scratch. Co-founded OpenAI. Understands AI at a level most engineers at Google and Meta never reach. Sat down. Recorded 2 hours. No frameworks. No libraries. No shortcuts. Then dropped it for free. The gap between people who watch it this week and those who save it for later is not 2 hours. It is everything those 2 hours quietly unlock for the rest of your career.

NeilXbt

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Andrej Karpathy: " To get the most out of AI - you have to remove yourself from the loop You can't be there to prompt the next thing. Arrange it so it's completely autonomous - and let it go " 700 experiments. overnight. found what he missed in 20 years using loops he calls it the Loopy Era - and says most people are still prompting AI one question at a time like it's Google 60-min workshop from Anthopic Quant - bookmark and watch today ↓

Andrej Karpathy: " To get the most out of AI - you have to remove yourself from the loop You can't be there to prompt the next thing. Arrange it so it's completely autonomous - and let it go " 700 experiments. overnight. found what he missed in 20 years using loops he calls it the Loopy Era - and says most people are still prompting AI one question at a time like it's Google 60-min workshop from Anthopic Quant - bookmark and watch today ↓

codila

89,489 görüntüleme • 1 ay önce

Anthropic Engineer Andrej Karpathy: "LLM models writes code - and now it writes it better than you." Now LLMs write 70–90% of production code at top AI labs. Agents need the same thing: a loop that verifies its own output. No baseline = no benchmark = no improvement. In this 15-min talk, Karpathy breaks down how AI models actually works.

Anthropic Engineer Andrej Karpathy: "LLM models writes code - and now it writes it better than you." Now LLMs write 70–90% of production code at top AI labs. Agents need the same thing: a loop that verifies its own output. No baseline = no benchmark = no improvement. In this 15-min talk, Karpathy breaks down how AI models actually works.

Ricker

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Claude Code went from research preview to a $1B product in 6 months. Cowork is the same thing, built for people who don’t code. This free 18-minute video teaches you how to set it up from scratch. No code. No fluff. No $500 upsell. Watch it. Bookmark it. The few who actually do will run their entire week on autopilot:

Claude Code went from research preview to a $1B product in 6 months. Cowork is the same thing, built for people who don’t code. This free 18-minute video teaches you how to set it up from scratch. No code. No fluff. No $500 upsell. Watch it. Bookmark it. The few who actually do will run their entire week on autopilot:

Evan Luthra

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Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,425 görüntüleme • 8 ay önce

Anthropic Developer Andrej Karpathy: "At OpenAI I saw two types of engineers: ones who write every instruction - ones who describe what they want The second type replaced the first in a year " the Karpathy framework - 3 eras of programming: 1.0 → you write the code → takes weeks 2.0 → you feed data, model writes the algorithm → takes hours 3.0 → you describe what you want in English → takes minutes each era killed the last. most people are still in 1.0 "the best code is the code you never write. you don't program the solution - you program the data -the solution programs itself" he built this at OpenAI - now applies it at Anthropic - the framework never changed watch & save - guide about Software by Andrej ↓

Anthropic Developer Andrej Karpathy: "At OpenAI I saw two types of engineers: ones who write every instruction - ones who describe what they want The second type replaced the first in a year " the Karpathy framework - 3 eras of programming: 1.0 → you write the code → takes weeks 2.0 → you feed data, model writes the algorithm → takes hours 3.0 → you describe what you want in English → takes minutes each era killed the last. most people are still in 1.0 "the best code is the code you never write. you don't program the solution - you program the data -the solution programs itself" he built this at OpenAI - now applies it at Anthropic - the framework never changed watch & save - guide about Software by Andrej ↓

codila

106,650 görüntüleme • 28 gün önce

OpenAI co-founder Andrej Karpathy: "You literally have to put in 10,000 hours to learn Claude" 11-min workshop from Goat of AI - how he's actually uses it He reveales all the features that he use in this video bookmark & watch - the most prodactive way for your evening

OpenAI co-founder Andrej Karpathy: "You literally have to put in 10,000 hours to learn Claude" 11-min workshop from Goat of AI - how he's actually uses it He reveales all the features that he use in this video bookmark & watch - the most prodactive way for your evening

Morty

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Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓

Anthropic Engineer Andrej Karpathy: "Stop training from scratch. Take what the model already learned - adapt it - ship it At OpenAI we replaced months of work with a few lines of code. Better results every time " the Karpathy formula for working with AI: step 1 → stop building from zero. the model already learned the hard part - just point it at your task step 2 → stop adding complexity, the simplest architecture beat everything in 2014 - simpler always wins step 3 → train only the last layer and freeze everything else - minutes instead of months. better results he taught this at Stanford 10 years ago - then applied it at OpenAI, Tesla, and Anthropic the advice never changed - because it never stopped working watch - bookmark, then read article below ↓

codila

25,376 görüntüleme • 29 gün önce

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

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Boris Cherny, the creator of Claude Code at Anthropic, just explained why most people aren't getting real results from Claude in this talk he breaks down exactly how most people skipped the setup entirely: - 90% of code at Anthropic is written by Claude itself - the 14% you lose to CLAUDE.md before typing a word - lawyers, designers, and finance people are building real things with it - no CS degree. no background. nothing Boris Cherny: "Claude Code is 100% written by Claude Code, Cowork is 100% written by Claude Code" if you've been using Claude for months and never configured a single thing, you skipped the 20 steps that change everything. probably 25 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed my breakdown of all 25 features is below

Boris Cherny, the creator of Claude Code at Anthropic, just explained why most people aren't getting real results from Claude in this talk he breaks down exactly how most people skipped the setup entirely: - 90% of code at Anthropic is written by Claude itself - the 14% you lose to CLAUDE.md before typing a word - lawyers, designers, and finance people are building real things with it - no CS degree. no background. nothing Boris Cherny: "Claude Code is 100% written by Claude Code, Cowork is 100% written by Claude Code" if you've been using Claude for months and never configured a single thing, you skipped the 20 steps that change everything. probably 25 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed my breakdown of all 25 features is below

Khairallah AL-Awady

182,466 görüntüleme • 2 ay önce

Andrej Karpathy spent 2 hours explaining what most AI educators won't tell you it's about what happens to humans when AI takes over knowledge work Karpathy has been in AI for 20 years. he built GPT-2, co-founded OpenAI, led Tesla Autopilot the part most people skip past: > the AI you're using today can't actually learn > "year of agents" is a marketing phrase. he calls it the decade of agents > coding assistants are great at boilerplate. they fall apart on novel architecture > the bottleneck isn't compute. it's that current models memorize instead of reason > most people open Claude, ask a question, close the tab > the humans who flourish won't be the ones who fear AI. they'll be the ones who stayed curious and kept building mental models right now most people are outsourcing thinking without building the skill underneath Karpathy's answer isn't to slow AI down, it's to build better humans faster he's designing a Starfleet Academy from scratch: AI-assisted, expert-led, built on first principles the goal is "eurekas per second" - how fast can you get someone from zero to genuine understanding full 2-hour conversation is below the education section alone is worth more than most $2,000 courses you've seen in your feed

Andrej Karpathy spent 2 hours explaining what most AI educators won't tell you it's about what happens to humans when AI takes over knowledge work Karpathy has been in AI for 20 years. he built GPT-2, co-founded OpenAI, led Tesla Autopilot the part most people skip past: > the AI you're using today can't actually learn > "year of agents" is a marketing phrase. he calls it the decade of agents > coding assistants are great at boilerplate. they fall apart on novel architecture > the bottleneck isn't compute. it's that current models memorize instead of reason > most people open Claude, ask a question, close the tab > the humans who flourish won't be the ones who fear AI. they'll be the ones who stayed curious and kept building mental models right now most people are outsourcing thinking without building the skill underneath Karpathy's answer isn't to slow AI down, it's to build better humans faster he's designing a Starfleet Academy from scratch: AI-assisted, expert-led, built on first principles the goal is "eurekas per second" - how fast can you get someone from zero to genuine understanding full 2-hour conversation is below the education section alone is worth more than most $2,000 courses you've seen in your feed

rewind

124,743 görüntüleme • 2 ay önce

Anthropic's Andrej Karpathy as Google intern and Stanford student: "At Google I work on AI i don't fully understand it, but that's exactly why I'm working on it " he filmed a vlog from inside Google and Stanford - biking past Steve Jobs house on the way to work years later that same "AI thing " he couldn't fully explain became - Tesla Autopilot, OpenAI, and Claude he bet his career on a problem nobody had solved - and grew into the field he helped define the lesson: work on what you don't understand yet - that's where the future gets built Stanford → Google → Tesla → OpenAI → Anthropic bookmark and watch this most special vlog!

Anthropic's Andrej Karpathy as Google intern and Stanford student: "At Google I work on AI i don't fully understand it, but that's exactly why I'm working on it " he filmed a vlog from inside Google and Stanford - biking past Steve Jobs house on the way to work years later that same "AI thing " he couldn't fully explain became - Tesla Autopilot, OpenAI, and Claude he bet his career on a problem nobody had solved - and grew into the field he helped define the lesson: work on what you don't understand yet - that's where the future gets built Stanford → Google → Tesla → OpenAI → Anthropic bookmark and watch this most special vlog!

codila

342,569 görüntüleme • 27 gün önce

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

39,243 görüntüleme • 1 ay önce

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

86,303 görüntüleme • 2 ay önce

most people spend hours describing what they want to Claude Code this guy just browsed a catalog of thousands of animated UI components, found one he liked, and hit "copy prompt" that's it. the prompt goes into Claude Code and it builds it. > 21st(.)dev - a library of community-made components built for React, Next.js, Tailwind > every component has a ready-made prompt attached > you pick the effect, copy, paste, done no describing animations from scratch. no explaining what "smooth scroll" or "hover glow" means. someone already figured out the exact prompt that produces it. gap between people who know this exists and people who don't is measured in hours per project full walkthrough in the article below

most people spend hours describing what they want to Claude Code this guy just browsed a catalog of thousands of animated UI components, found one he liked, and hit "copy prompt" that's it. the prompt goes into Claude Code and it builds it. > 21st(.)dev - a library of community-made components built for React, Next.js, Tailwind > every component has a ready-made prompt attached > you pick the effect, copy, paste, done no describing animations from scratch. no explaining what "smooth scroll" or "hover glow" means. someone already figured out the exact prompt that produces it. gap between people who know this exists and people who don't is measured in hours per project full walkthrough in the article below

monokern

64,484 görüntüleme • 26 gün önce

ex-Anthropic engineer: "I left Anthropic to build agents systems in Google but nothing beats Claude as an agent yet - in coding and tool use, the rest are still behind " in this 90-min podcast, he showed how to build effective agent system with Claude from scratch to get into Anthropic, he hand-coded Karpathy's nanoGPT as a physicist Claude → tools → loops of verification → a real agent and why, at Google, he says Claude is the best watch & bookmark - then read the guide to agent systems ↓

ex-Anthropic engineer: "I left Anthropic to build agents systems in Google but nothing beats Claude as an agent yet - in coding and tool use, the rest are still behind " in this 90-min podcast, he showed how to build effective agent system with Claude from scratch to get into Anthropic, he hand-coded Karpathy's nanoGPT as a physicist Claude → tools → loops of verification → a real agent and why, at Google, he says Claude is the best watch & bookmark - then read the guide to agent systems ↓

codila

126,242 görüntüleme • 14 gün önce

Andrej Karpathy spent 8 years at OpenAI and Tesla. Last week he put everything he knows into one free 2-hour lecture. People pay $15k for bootcamps that teach half of this. You probably don't have 2 hours right now. Don't lose this in the feed. Watch it. Then read the guide below and build your first loop.

Andrej Karpathy spent 8 years at OpenAI and Tesla. Last week he put everything he knows into one free 2-hour lecture. People pay $15k for bootcamps that teach half of this. You probably don't have 2 hours right now. Don't lose this in the feed. Watch it. Then read the guide below and build your first loop.

Raytar

416,149 görüntüleme • 18 gün önce

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Anatoli Kopadze

1,212,414 görüntüleme • 1 ay önce

Anthropic's Head of Claude Code: "I don't have a to-do list anymore. Claude just builds everything" he runs a tree of thousands of agents. agents prompting agents prompting agents one engineer set up a routine that auto-fixes any bug report not responded to in 5 hours. merges the easy ones himself Boris shipped a feature with an edge case. before he could fix it - another engineer's routine already had a PR up "Claude tells me this all the time. someone else has already fixed it. there's always another Claude working on it" 17 minutes. free. the most honest look at how the Claude Code team actually works bookmark & watch ↓

Anthropic's Head of Claude Code: "I don't have a to-do list anymore. Claude just builds everything" he runs a tree of thousands of agents. agents prompting agents prompting agents one engineer set up a routine that auto-fixes any bug report not responded to in 5 hours. merges the easy ones himself Boris shipped a feature with an edge case. before he could fix it - another engineer's routine already had a PR up "Claude tells me this all the time. someone else has already fixed it. there's always another Claude working on it" 17 minutes. free. the most honest look at how the Claude Code team actually works bookmark & watch ↓

Carnage

373,844 görüntüleme • 1 ay önce

Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.

Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.

Ricardo

62,031 görüntüleme • 5 ay önce