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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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380,157 görüntüleme • 2 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.

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Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

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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 ↓

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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.

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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:

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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.

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Anthropic's Andrej Karpathy to Andrew Ng: "Most people uses AI by importing a library, don't - write the whole thing by hand that's what I've been thinking about a lot at OpenAI " how he actually learned it: → wrote his own neural net library by hand - just to understand backprop → never abstracted a single layer he didn't build → only then touched a framework the payoff: "if you don't build it, you can't debug it, and you can't improve it" Ng backed him up - people who can debug ML are 10-100x faster than the rest two AI legends in one room - watch it, then read the loop guide below ↓

Anthropic's Andrej Karpathy to Andrew Ng: "Most people uses AI by importing a library, don't - write the whole thing by hand that's what I've been thinking about a lot at OpenAI " how he actually learned it: → wrote his own neural net library by hand - just to understand backprop → never abstracted a single layer he didn't build → only then touched a framework the payoff: "if you don't build it, you can't debug it, and you can't improve it" Ng backed him up - people who can debug ML are 10-100x faster than the rest two AI legends in one room - watch it, then read the loop guide below ↓

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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 ↓

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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

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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 ↓

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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

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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

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Everyone is worried AI will end up controlled by two or three companies. Marc Andreessen argues the opposite happened, and that it has reached ordinary people faster than any technology in history. Here's the case he makes: 1) A billion people are already using it

Everyone is worried AI will end up controlled by two or three companies. Marc Andreessen argues the opposite happened, and that it has reached ordinary people faster than any technology in history. Here's the case he makes: 1) A billion people are already using it

GeniusThinking

16,146 görüntüleme • 19 gün 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 • 1 ay önce

Andrej Karpathy spent 70 minutes breaking down how top AI users actually work with LLMs. The reality is simpler than people expect. You tell the model what you want in plain language and let it run. No 40-line system prompts. No secret tricks. By 2026 the engineer who writes off LLMs loses to the junior who just set one up properly. 70 minutes. Free. A rare straight look from an OpenAI co-founder. Bookmark it and watch.

Andrej Karpathy spent 70 minutes breaking down how top AI users actually work with LLMs. The reality is simpler than people expect. You tell the model what you want in plain language and let it run. No 40-line system prompts. No secret tricks. By 2026 the engineer who writes off LLMs loses to the junior who just set one up properly. 70 minutes. Free. A rare straight look from an OpenAI co-founder. Bookmark it and watch.

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Don't waste 2 years learning to use LLMs like Claude & ChatGPT. Andrej Karpathy, the godfather of AI, dropped a 2 hour course on how he personally uses LLMs daily. • 00:00 - LLMs simplified • 22:49 - which LLM to actually use • 42:00 - one prompt for full research • 1:13:57 - how to code with LLMs • 1:37:04 - NotebookLM podcast generation This course will teach you more about using LLMs than most AI engineers learn in their entire career. Bookmark this & give 2 hours today, no matter what. Then read the article below.

Don't waste 2 years learning to use LLMs like Claude & ChatGPT. Andrej Karpathy, the godfather of AI, dropped a 2 hour course on how he personally uses LLMs daily. • 00:00 - LLMs simplified • 22:49 - which LLM to actually use • 42:00 - one prompt for full research • 1:13:57 - how to code with LLMs • 1:37:04 - NotebookLM podcast generation This course will teach you more about using LLMs than most AI engineers learn in their entire career. Bookmark this & give 2 hours today, no matter what. Then read the article below.

Roan

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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

39,292 görüntüleme • 2 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

86,328 görüntüleme • 3 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 • 1 ay önce