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I keep telling my team that coding isn't needed to use AI in workflows. But, they do need the 101 basic AI fundamentals. I send them this 1-hour Stanford lecture from an AI program designer and principal ML researcher at GitHub. He walks through everything I've seen actually move...

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adriane schwager

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221,470 次观看 • 3 个月前 •via X (Twitter)

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CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience. Ready to build AI workflows that actually move the needle? DeepLearning.AI offers free short courses to help you master agentic workflows and the latest AI tools. Start learning today: Subscribe to The Batch newsletter for weekly AI insights:
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CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience. Ready to build AI workflows that actually move the needle? DeepLearning.AI offers free short courses to help you master agentic workflows and the latest AI tools. Start learning today: Subscribe to The Batch newsletter for weekly AI insights:

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50,362 次观看 • 3 个月前

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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.

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1,968,293 次观看 • 2 年前

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My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

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I've made $4.7M with AI. Today, I recorded myself building an entire OpenClaw🦞 business in an hour. You'll learn how to: • Find a winning niche using AI • Build an offer people actually want to pay for • To get your first clients • To use AI to productize and fulfill the entire service • The exact prompts I use to orchestrate all of it After building the #1 Lovable agency. This is the entire playbook behind AI native businesses. The full video is live on YouTube. Comment "Playbook" and I'll DM you the link.

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124,044 次观看 • 4 个月前

Karpathy: "I've never felt this much behind as a programmer. And I've been doing this for 20 years." I've watched hundreds of AI talks. This keynote from the man who built Tesla Autopilot and co-founded OpenAI is the one I wish every developer had seen before writing another line of code. He calls what's happening a "magnitude 9 earthquake." Here's the part nobody expected to hear: > in November he was 80% manual + 20% AI. by December: flipped to 80% AI + 20% manual > that shift took him 30 days > "2025-2035 is the decade of agents" > the rules of programming are changing faster than our habits Right now the average developer opens Claude, types something, gets an answer, closes the tab. they think they're using AI. they're using maybe 10% of it. I went through everything he described and built 21 rules that actually change how Claude codes for you. the file that started this hit #1 on GitHub with 82,000 stars. coding accuracy from 65% to 94%. bookmark this
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Karpathy: "I've never felt this much behind as a programmer. And I've been doing this for 20 years." I've watched hundreds of AI talks. This keynote from the man who built Tesla Autopilot and co-founded OpenAI is the one I wish every developer had seen before writing another line of code. He calls what's happening a "magnitude 9 earthquake." Here's the part nobody expected to hear: > in November he was 80% manual + 20% AI. by December: flipped to 80% AI + 20% manual > that shift took him 30 days > "2025-2035 is the decade of agents" > the rules of programming are changing faster than our habits Right now the average developer opens Claude, types something, gets an answer, closes the tab. they think they're using AI. they're using maybe 10% of it. I went through everything he described and built 21 rules that actually change how Claude codes for you. the file that started this hit #1 on GitHub with 82,000 stars. coding accuracy from 65% to 94%. bookmark this

Dep

137,555 次观看 • 2 个月前

.Naval: The easiest way to see that AI is not taking jobs but creating opportunities is to go learn AI and then reapply for the job that rejected you. Watch how they pull you in. “My last startup, Airchat, could not have existed without AI because we needed the transcription/translation. And even the current thing I’m working on—it’s not an AI company, but it cannot exist without AI. It is relying on AI. Even at AngelList, we’re significantly adopting AI. Like everywhere you turn, it’s more opportunity, more opportunity, more opportunity. And people like to go on Twitter—or the artist formerly known as Twitter—and basically, they like to exaggerate. Like, ‘Oh my God, we’ve hit AGI.’ ‘Oh my God, I just replaced all my mid-level engineers.’ ‘Oh my God, I’ve stopped hiring.’ To me, that’s moronic. The two valid perspectives are the one-man entrepreneur shows, where there’s one guy or one gal, and they’re scaling up like crazy thanks to AI. Or there are people who are embracing AI and being like, ‘I need to hire, and I need to hire anyone who can even spell ‘AI’—anyone who’s even used AI. Just come on in, come on in.’ Again, I would say the easiest way to see that AI is not taking jobs but creating opportunities is this: go brush up on your AI, learn a little bit, watch a few videos, use the AI, tinker with it, and then go reapply for that job that rejected you. Watch how they pull you in.”
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.Naval: The easiest way to see that AI is not taking jobs but creating opportunities is to go learn AI and then reapply for the job that rejected you. Watch how they pull you in. “My last startup, Airchat, could not have existed without AI because we needed the transcription/translation. And even the current thing I’m working on—it’s not an AI company, but it cannot exist without AI. It is relying on AI. Even at AngelList, we’re significantly adopting AI. Like everywhere you turn, it’s more opportunity, more opportunity, more opportunity. And people like to go on Twitter—or the artist formerly known as Twitter—and basically, they like to exaggerate. Like, ‘Oh my God, we’ve hit AGI.’ ‘Oh my God, I just replaced all my mid-level engineers.’ ‘Oh my God, I’ve stopped hiring.’ To me, that’s moronic. The two valid perspectives are the one-man entrepreneur shows, where there’s one guy or one gal, and they’re scaling up like crazy thanks to AI. Or there are people who are embracing AI and being like, ‘I need to hire, and I need to hire anyone who can even spell ‘AI’—anyone who’s even used AI. Just come on in, come on in.’ Again, I would say the easiest way to see that AI is not taking jobs but creating opportunities is this: go brush up on your AI, learn a little bit, watch a few videos, use the AI, tinker with it, and then go reapply for that job that rejected you. Watch how they pull you in.”

Arjun Khemani

167,733 次观看 • 1 年前

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.
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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

832,672 次观看 • 2 个月前

I built a Nous Research Hermes workflow that my team at Box uses to track AI trends. Every day at 7am, it researches what's happening across the AI ecosystem and generates a brief for our team. We use it to identify: • AI trends worth paying attention to • Open source projects gaining momentum • New tools developers are adopting • Content opportunities to work on next I've been building agentic workflows for months, and this is one I've actually integrated into my team's daily workflow. Here's how I built it:
5:43

I built a Nous Research Hermes workflow that my team at Box uses to track AI trends. Every day at 7am, it researches what's happening across the AI ecosystem and generates a brief for our team. We use it to identify: • AI trends worth paying attention to • Open source projects gaining momentum • New tools developers are adopting • Content opportunities to work on next I've been building agentic workflows for months, and this is one I've actually integrated into my team's daily workflow. Here's how I built it:

Chris Kim

76,835 次观看 • 23 天前

Claude Cowork proves the interest in AI coworkers. Orion ( takes the autonomous working experience to another level: • Works with and enhances your experience with your favorite apps (messages, docs, emails, sheets, files, calendars…) and AI tools (ChatGPT, Claude Code, Gemini, Grok…) • Supervises workflows when you are away, from vibe coding to media creation • Coordinates AI agents across all your devices (macOS, windows, VM), each operating one device independently Your personal AI superpower. New surprising ways of vibe working every day - I just tried using Orion to add subtitles to the video and it worked! Watch it handle multiple tasks autonomously from a single cmd+k.
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Claude Cowork proves the interest in AI coworkers. Orion ( takes the autonomous working experience to another level: • Works with and enhances your experience with your favorite apps (messages, docs, emails, sheets, files, calendars…) and AI tools (ChatGPT, Claude Code, Gemini, Grok…) • Supervises workflows when you are away, from vibe coding to media creation • Coordinates AI agents across all your devices (macOS, windows, VM), each operating one device independently Your personal AI superpower. New surprising ways of vibe working every day - I just tried using Orion to add subtitles to the video and it worked! Watch it handle multiple tasks autonomously from a single cmd+k.

Chi Wang

33,496 次观看 • 6 个月前

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:
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AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

DeepLearning.AI

23,255 次观看 • 1 年前

a Google researcher walked into MIT and made an AI do math correctly by adding seven words to the prompt. the seven words: "you are an MIT mathematician." drop them, model gets it wrong. add them, right. same model. same question. every time. Carter Smith. runs Gemini at Google. 1 hour. free. he then spent the next 50 minutes explaining why. it is the cleanest hour on how LLMs actually work I have seen in two years. you will come back to this. save it now.
55:03

a Google researcher walked into MIT and made an AI do math correctly by adding seven words to the prompt. the seven words: "you are an MIT mathematician." drop them, model gets it wrong. add them, right. same model. same question. every time. Carter Smith. runs Gemini at Google. 1 hour. free. he then spent the next 50 minutes explaining why. it is the cleanest hour on how LLMs actually work I have seen in two years. you will come back to this. save it now.

Raytar

20,399 次观看 • 1 个月前

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I've seen about AI in the last few months. Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks. Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%. I turned his talk into 17 Claude features 99% of users never find. Watch the lecture, then read the article below.
46:49

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I've seen about AI in the last few months. Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks. Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%. I turned his talk into 17 Claude features 99% of users never find. Watch the lecture, then read the article below.

Anatoli Kopadze

1,013,774 次观看 • 12 天前

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):
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AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):

Andrew Ng

118,164 次观看 • 8 个月前

IMO — Decentralized AI is more than: - an AI model in the sky, with good external auditing - an AI model in the sky, which people vote on how to use - an AI model in the sky, which is free for anyone to use - open source AI - federated training None of these are truly an interface to the world's collective intelligence. Each is actually... *mostly* centralized AI... but with the right ambitions!!! In this podcast, I lay out what I think a true decentralized AI ecosystem looks like, and my guesses on how to get there. The key use-case is broad listening (video below describes broad listening) (link to full podcast in reply)
1:03

IMO — Decentralized AI is more than: - an AI model in the sky, with good external auditing - an AI model in the sky, which people vote on how to use - an AI model in the sky, which is free for anyone to use - open source AI - federated training None of these are truly an interface to the world's collective intelligence. Each is actually... *mostly* centralized AI... but with the right ambitions!!! In this podcast, I lay out what I think a true decentralized AI ecosystem looks like, and my guesses on how to get there. The key use-case is broad listening (video below describes broad listening) (link to full podcast in reply)

⿻ Andrew Trask

65,168 次观看 • 10 个月前