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Google Deepmind CEO Demis Hassabis just explained the real AI skill gap: "The next generation will do things that used to take teams of 10, 20, 30, 50 people" Most people hear that and think AI just makes them faster Wrong It changes what one person can become >... show more

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39,959 次观看 • 1 个月前 •via X (Twitter)

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Nobel Prize winner and Google DeepMind CEO Demis Hassabis just revealed the real AI skill gap: “The next generation will do things that used to take teams of 10, 20, 30, 50 people” Most people heard that and thought: “Cool, AI makes me faster” Wrong. AI does not just make people faster. It changes what one person can become. A startup used to need: > researcher > designer > developer > marketer > analyst > support team > ops manager Now one AI-native person can wire all of that into workflows. > Agents that research. > Tools that write. > Workflows that test. > Automations that publish. > Memory that compounds. This is not prompt engineering. This is leverage. The next 5 years will not belong to people who write better prompts. They will belong to people who build better workflows. Watch the full interview. Bookmark this. It is one of the most important ideas of the decade.

Nobel Prize winner and Google DeepMind CEO Demis Hassabis just revealed the real AI skill gap: “The next generation will do things that used to take teams of 10, 20, 30, 50 people” Most people heard that and thought: “Cool, AI makes me faster” Wrong. AI does not just make people faster. It changes what one person can become. A startup used to need: > researcher > designer > developer > marketer > analyst > support team > ops manager Now one AI-native person can wire all of that into workflows. > Agents that research. > Tools that write. > Workflows that test. > Automations that publish. > Memory that compounds. This is not prompt engineering. This is leverage. The next 5 years will not belong to people who write better prompts. They will belong to people who build better workflows. Watch the full interview. Bookmark this. It is one of the most important ideas of the decade.

spect

132,349 次观看 • 2 个月前

Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't. "One person who understands AI will outperform an entire startup team" Most founders heard that and thought: "Oh no, I need to learn prompt engineering" Wrong. That's not what "understands AI" means anymore. It means: building workflows. Chaining systems. Automating entire departments. Not typing better questions into ChatGPT. The split is brutal: > 90% of people = still using AI like a calculator > 10% of people = treating it like infrastructure In 5 years, the 10% will run everything with half the headcount. The 90%? Replaceable. Which group are you in? Watch the full breakdown. This is the only skill gap that actually matters right now. Bookmark this. You'll want to reference it.

Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't. "One person who understands AI will outperform an entire startup team" Most founders heard that and thought: "Oh no, I need to learn prompt engineering" Wrong. That's not what "understands AI" means anymore. It means: building workflows. Chaining systems. Automating entire departments. Not typing better questions into ChatGPT. The split is brutal: > 90% of people = still using AI like a calculator > 10% of people = treating it like infrastructure In 5 years, the 10% will run everything with half the headcount. The 90%? Replaceable. Which group are you in? Watch the full breakdown. This is the only skill gap that actually matters right now. Bookmark this. You'll want to reference it.

spect

418,067 次观看 • 2 个月前

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓

Lunar

99,204 次观看 • 5 天前

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Lunar

49,332 次观看 • 5 天前

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

390,986 次观看 • 6 天前

Anthropic's marketing-ops lead just shipped her entire weekly review in one slash command. live walkthrough. 8 connectors. one prompt that wakes up every friday. "this used to take me half a day" connect your sources -> save the prompt -> never write a weekly review again most people will copy the workflow. the line that decides whether you trust its output is one sentence inside the prompt.

Anthropic's marketing-ops lead just shipped her entire weekly review in one slash command. live walkthrough. 8 connectors. one prompt that wakes up every friday. "this used to take me half a day" connect your sources -> save the prompt -> never write a weekly review again most people will copy the workflow. the line that decides whether you trust its output is one sentence inside the prompt.

Mnimiy

225,265 次观看 • 2 个月前

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

Lunar

195,397 次观看 • 13 天前

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Anatoli Kopadze

15,625 次观看 • 1 个月前

Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech

Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech

Karl Mehta

80,694 次观看 • 27 天前

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

10,127 次观看 • 1 个月前

Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

rari

390,911 次观看 • 2 个月前

The man who built Nvidia from a Denny's booth into the world's first $5 trillion company just told us exactly why AI will never take our jobs. "AI has no possibility of doing all of what we do. However, depending on the jobs that we do, sometimes it could do 20% of our jobs, a thousand times better." "For some people, it might be able to do 50% of their job, a thousand times better." "Every one of us should apply AI to automate, to become an assistant, to help us with that either 20%, 40% or 50%." "People ask me, Jensen, is AI going to take your job? And I tell them absolutely not. The person who uses AI to automate that 20% or 50% is going to take your job." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

The man who built Nvidia from a Denny's booth into the world's first $5 trillion company just told us exactly why AI will never take our jobs. "AI has no possibility of doing all of what we do. However, depending on the jobs that we do, sometimes it could do 20% of our jobs, a thousand times better." "For some people, it might be able to do 50% of their job, a thousand times better." "Every one of us should apply AI to automate, to become an assistant, to help us with that either 20%, 40% or 50%." "People ask me, Jensen, is AI going to take your job? And I tell them absolutely not. The person who uses AI to automate that 20% or 50% is going to take your job." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

16,813 次观看 • 2 个月前

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago Save this before everyone copies the playbook this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part that won't leave my head: > the AI you're using today is the dumbest it will ever be > one person with AI agents will replace teams of 10, then 50, then 200 > the winners won't be the smartest. they'll be the ones who built their AI team first > you don't need to hire people anymore. you need to build agents that work together > hiring is about to become optional for most startups right now most people open Claude, ask a question, read the answer, close the tab they think they're using AI, but they're using maybe 5% of it I turned his lecture into a step-by-step guide to build your first app using Claude. Completely FREE full guide in the post below.

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago Save this before everyone copies the playbook this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part that won't leave my head: > the AI you're using today is the dumbest it will ever be > one person with AI agents will replace teams of 10, then 50, then 200 > the winners won't be the smartest. they'll be the ones who built their AI team first > you don't need to hire people anymore. you need to build agents that work together > hiring is about to become optional for most startups right now most people open Claude, ask a question, read the answer, close the tab they think they're using AI, but they're using maybe 5% of it I turned his lecture into a step-by-step guide to build your first app using Claude. Completely FREE full guide in the post below.

Khairallah AL-Awady

42,882 次观看 • 2 个月前

Google DeepMind CEO: "The gap between people who use AI and people who don't will be the largest skill divide in human history" Demis Hassabis spent 50 minutes at Stanford saying things most CEOs would never say publicly this is exactly the kind of conversation people pay $250,000 to be in the room for if you want to stay competitive, understanding AI is no longer optional I wrote a full guide on Claude features 99% of people don't know exist watch this video, then read the article below those two things alone put you ahead of most people using AI right now

Google DeepMind CEO: "The gap between people who use AI and people who don't will be the largest skill divide in human history" Demis Hassabis spent 50 minutes at Stanford saying things most CEOs would never say publicly this is exactly the kind of conversation people pay $250,000 to be in the room for if you want to stay competitive, understanding AI is no longer optional I wrote a full guide on Claude features 99% of people don't know exist watch this video, then read the article below those two things alone put you ahead of most people using AI right now

Anatoli Kopadze

110,898 次观看 • 2 个月前

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

codila

102,380 次观看 • 5 天前

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓

codila

555,695 次观看 • 6 天前

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part I can't stop thinking about: > the AI you're using today is the dumbest it will ever be > in 5 years the gap between people using AI and people who aren't will be impossible to hide > companies will run on 10 people doing what 200 used to do > the ones who get there first won't be the smartest, they'll be the ones who started right now right now the average person opens Claude, types something, gets an answer, closes the tab they think they're using AI, but they're using maybe 10% of it I turned his lecture into 18 steps to actually use Claude the way it was designed, copy-paste prompts included full guide in the post below.

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part I can't stop thinking about: > the AI you're using today is the dumbest it will ever be > in 5 years the gap between people using AI and people who aren't will be impossible to hide > companies will run on 10 people doing what 200 used to do > the ones who get there first won't be the smartest, they'll be the ones who started right now right now the average person opens Claude, types something, gets an answer, closes the tab they think they're using AI, but they're using maybe 10% of it I turned his lecture into 18 steps to actually use Claude the way it was designed, copy-paste prompts included full guide in the post below.

Anatoli Kopadze

836,257 次观看 • 3 个月前

Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓

Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓

Lunar

212,620 次观看 • 2 天前

Jensen Huang: "Nvidia runs 7,500,000 agents for 75,000 people." that's 100 AI workers for every human employee. he goes further than that. "for the very first time, we have useful AI." not AI that answers questions. AI that does the work. and he's not talking about people who occasionally prompt ChatGPT. he means people who actually run agents in parallel. most people don't know you can already do this. one button. one prompt. up to 300 agents working at the same time. it's called Kimi Agent Swarm. 100 CVs tailored to 100 job descriptions. one prompt. 40 research papers into a 100,000-word review. one prompt. 30 landing pages for 30 businesses. one prompt. $40,000-$100,000 worth of work. one sitting. full breakdown in the article below.

Jensen Huang: "Nvidia runs 7,500,000 agents for 75,000 people." that's 100 AI workers for every human employee. he goes further than that. "for the very first time, we have useful AI." not AI that answers questions. AI that does the work. and he's not talking about people who occasionally prompt ChatGPT. he means people who actually run agents in parallel. most people don't know you can already do this. one button. one prompt. up to 300 agents working at the same time. it's called Kimi Agent Swarm. 100 CVs tailored to 100 job descriptions. one prompt. 40 research papers into a 100,000-word review. one prompt. 30 landing pages for 30 businesses. one prompt. $40,000-$100,000 worth of work. one sitting. full breakdown in the article below.

Dep

11,924 次观看 • 2 个月前

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems. 00:00 - Memory turns chat into personal AI 06:41 - Multimodal AI reads the world 16:58 - Thinking models solve harder tasks 24:51 - Search makes LLMs live 30:58 - Tools turn LLMs into workers Most people are still treating LLMs like chatbots. Karpathy is showing the full stack: Memory → Vision → Reasoning → Search → Tools Prompting is the old workflow. Agentic systems are the new one. This 40-minute talk is worth more than most paid AI agent courses. Bookmark and watch it before everyone catches up. Then read how to turn LLMs into self-improving agent loops below

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems. 00:00 - Memory turns chat into personal AI 06:41 - Multimodal AI reads the world 16:58 - Thinking models solve harder tasks 24:51 - Search makes LLMs live 30:58 - Tools turn LLMs into workers Most people are still treating LLMs like chatbots. Karpathy is showing the full stack: Memory → Vision → Reasoning → Search → Tools Prompting is the old workflow. Agentic systems are the new one. This 40-minute talk is worth more than most paid AI agent courses. Bookmark and watch it before everyone catches up. Then read how to turn LLMs into self-improving agent loops below

Lunar

349,676 次观看 • 9 天前