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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 ↓show more

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24,203 views • 10 days ago •via X (Twitter)

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Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓

Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓

codila

1,886,219 views • 11 days ago

Anthropic Engineer Andrej Karpathy: "AI won't replace you. But the people who use AI to learn - will replace the people who don't " the Karpathy formula for using AI to learn: step 1 → AI adapts to what you already know - explains through your analogies step 2 → AI challenges you at your exact level - not too easy, not too hard step 3 → AI scales one-on-one tutoring - the thing that makes you beat 98% of people one tutor. your language. your level. your pace - proven since the 80s - now available to 8 billion watch - bookmark, then read article below ↓

Anthropic Engineer Andrej Karpathy: "AI won't replace you. But the people who use AI to learn - will replace the people who don't " the Karpathy formula for using AI to learn: step 1 → AI adapts to what you already know - explains through your analogies step 2 → AI challenges you at your exact level - not too easy, not too hard step 3 → AI scales one-on-one tutoring - the thing that makes you beat 98% of people one tutor. your language. your level. your pace - proven since the 80s - now available to 8 billion watch - bookmark, then read article below ↓

codila

107,872 views • 12 days ago

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

codila

504,386 views • 2 days ago

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

520,162 views • 2 months ago

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

340,683 views • 8 days ago

Anthropic pays $750,000 a year for engineers who can build LLMs from scratch. Not prompt engineers. Not fine-tuners. Not RAG specialists. Engineers who understand the architecture well enough to build the thing from zero. Stanford just put a 2-hour lecture on exactly that on the internet for free. Scaling laws. Data collection. Architecture design. Post-training alignment. The theoretical foundation behind every model you use daily taught by the people who research it at one of the best CS programs on earth. Free. From Stanford. Two hours. The engineers earning $750,000 at Anthropic understand everything in this lecture. Most people using AI every day understand none of it. Watch it tonight. Full implementation guide in the article below.

Anthropic pays $750,000 a year for engineers who can build LLMs from scratch. Not prompt engineers. Not fine-tuners. Not RAG specialists. Engineers who understand the architecture well enough to build the thing from zero. Stanford just put a 2-hour lecture on exactly that on the internet for free. Scaling laws. Data collection. Architecture design. Post-training alignment. The theoretical foundation behind every model you use daily taught by the people who research it at one of the best CS programs on earth. Free. From Stanford. Two hours. The engineers earning $750,000 at Anthropic understand everything in this lecture. Most people using AI every day understand none of it. Watch it tonight. Full implementation guide in the article below.

CyrilXBT

36,692 views • 29 days ago

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 of googling - he rewrote the entire system from scratch no frameworks. no dependencies. it ended up faster that's the difference between using AI and understanding it 25-min masterclass - bookmark and watch

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 of googling - he rewrote the entire system from scratch no frameworks. no dependencies. it ended up faster that's the difference between using AI and understanding it 25-min masterclass - bookmark and watch

codila

378,561 views • 27 days ago

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Rahul

1,200,633 views • 1 month ago

Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

hammertime

378,175 views • 1 month ago

Anthropic engineer: "Fable 5 is already smarter than we know how to use. The bottleneck was never the AI, it's you." In 19 minutes he shows exactly how to get everything out of Claude with no extra tools, no extra costs. You're already paying for all of this, just not using it. Watch the session, then read the guide below on the Claude features 99% of users never find.

Anthropic engineer: "Fable 5 is already smarter than we know how to use. The bottleneck was never the AI, it's you." In 19 minutes he shows exactly how to get everything out of Claude with no extra tools, no extra costs. You're already paying for all of this, just not using it. Watch the session, then read the guide below on the Claude features 99% of users never find.

Anatoli Kopadze

456,857 views • 9 days ago

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Andrej Karpathy spent 2h showing how he actually uses AI day to day he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker watch what's actually happening the entire time: > he describes the task in normal words > it goes off and does the work > he glances at the result and nudges it with one more sentence that's the whole skill, and you've had it since you learned to talk the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act check his work, then build the version that keeps working when you stop

Chrome

1,788,556 views • 1 month ago

Anthropic just dropped a 1-hour workshop on how to actually build with AI in 2026: 00:26 - Why they stopped prompting 16:57 - The system that builds, tests, and fixes itself 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch This 1-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read the step-by-step guide on building loops below.

Anthropic just dropped a 1-hour workshop on how to actually build with AI in 2026: 00:26 - Why they stopped prompting 16:57 - The system that builds, tests, and fixes itself 25:27 - One engineer replacing a 5-person team 36:25 - Building your first loop from scratch This 1-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read the step-by-step guide on building loops below.

Raytar

86,574 views • 7 days ago

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

CyrilXBT

320,032 views • 21 days ago

The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓

The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓

Сarm1ne

441,903 views • 2 months ago

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anatoli Kopadze

27,852 views • 27 days ago

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

86,147 views • 1 month ago

Read the actual Anthropic piece. It's wilder than the hype precisely because it's so measured. As of last month, Claude writes more than 80% of the code Anthropic merges into its own codebase. Their engineers now ship roughly 8x the code per day they did in 2024. On a fixed test they run every release (take some training code, make it run faster), the model went from ~3x a year ago to ~52x. A skilled human gets about 4x in a few hours. And when a researcher hits a wrong turn mid-investigation, the newest model now picks the better next step 64% of the time. The honest part the hype skips is that Anthropic says we are NOT at self-improvement yet. Claude still can't decide which problems are worth solving. That research taste is the last thing keeping a human in the loop. But they openly map the moment it closes, when agents can build and train models themselves and Claude starts improving Claude. And the loudest signal in the whole thing sits at the end: the company building this is the one asking for a working pause button before the loop closes.

Read the actual Anthropic piece. It's wilder than the hype precisely because it's so measured. As of last month, Claude writes more than 80% of the code Anthropic merges into its own codebase. Their engineers now ship roughly 8x the code per day they did in 2024. On a fixed test they run every release (take some training code, make it run faster), the model went from ~3x a year ago to ~52x. A skilled human gets about 4x in a few hours. And when a researcher hits a wrong turn mid-investigation, the newest model now picks the better next step 64% of the time. The honest part the hype skips is that Anthropic says we are NOT at self-improvement yet. Claude still can't decide which problems are worth solving. That research taste is the last thing keeping a human in the loop. But they openly map the moment it closes, when agents can build and train models themselves and Claude starts improving Claude. And the loudest signal in the whole thing sits at the end: the company building this is the one asking for a working pause button before the loop closes.

Alex Veremeyenko

33,666 views • 1 month ago

Anthropic Managed Agents Lead: "Over 90% of Anthropic engineers already build with self-improving loops. My agentic loops run for hours and cost almost nothing." In 40 minutes she builds an AI agent from scratch and shows how engineers at Anthropic use them daily. This video is worth more than any $600 course on agents. Watch it today, then read the guide on building loops below.

Anthropic Managed Agents Lead: "Over 90% of Anthropic engineers already build with self-improving loops. My agentic loops run for hours and cost almost nothing." In 40 minutes she builds an AI agent from scratch and shows how engineers at Anthropic use them daily. This video is worth more than any $600 course on agents. Watch it today, then read the guide on building loops below.

Anatoli Kopadze

151,575 views • 10 days ago

Amazon AI engineer just explained how to build agentic loops from scratch in under 10-minutes. this is one of the clearest explanations of AI agentic loops you’ll find anywhere. Loop + model + agent + hooks + MCP = an autonomous, self-improving system. People are paying $500 for courses that teach less than this. Watch it, then read the step-by-step guide below on building loops for your own agents.

Amazon AI engineer just explained how to build agentic loops from scratch in under 10-minutes. this is one of the clearest explanations of AI agentic loops you’ll find anywhere. Loop + model + agent + hooks + MCP = an autonomous, self-improving system. People are paying $500 for courses that teach less than this. Watch it, then read the step-by-step guide below on building loops for your own agents.

Codez

26,868 views • 14 days ago

Former Meta top-tier engineer: "I don't review the code anymore. I got to a point where I never catch anything the agents don't catch." He runs 20-30 agents at once and ships 20-40 PRs a day, work that used to take a full team a month. In 55 minutes he explains everything he knows and builds a fully working workflow from scratch. Watch it, then read the full guide on building loops below.

Former Meta top-tier engineer: "I don't review the code anymore. I got to a point where I never catch anything the agents don't catch." He runs 20-30 agents at once and ships 20-40 PRs a day, work that used to take a full team a month. In 55 minutes he explains everything he knows and builds a fully working workflow from scratch. Watch it, then read the full guide on building loops below.

Anatoli Kopadze

183,288 views • 14 days ago