Loading video...

Video Failed to Load

Go Home

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...

aschwags3's profile picture

adriane schwager

29,382 subscribers

221,470 views • 2 months ago •via X (Twitter)

EducationHealth & WellnessScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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:
0:38

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:

DeepLearning.AI

11,525 views • 3 months ago

Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.
1:12:45

Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.

Mckay Wrigley

212,434 views • 1 year ago

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

🔥 Matt Dancho (Business Science) 🔥

240,806 views • 1 year ago

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

35,452 views • 1 year ago

This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "AI automation" content on YouTube No tools to sell you. No fluff. Just the raw science behind how AI agents think, plan, and execute tasks on their own Led by GitHub's Principal ML Researcher and recorded for FREE Most people spend 2-3 hours/day on repetitive work that AI can handle: emails, reports, scheduling, code reviews, data entry, status updates This lecture shows you exactly how the systems behind that automation actually work like reflection, planning, tool use, and decision-making Bookmark it. 1 hour now = hundreds of hours saved later
56:54

This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "AI automation" content on YouTube No tools to sell you. No fluff. Just the raw science behind how AI agents think, plan, and execute tasks on their own Led by GitHub's Principal ML Researcher and recorded for FREE Most people spend 2-3 hours/day on repetitive work that AI can handle: emails, reports, scheduling, code reviews, data entry, status updates This lecture shows you exactly how the systems behind that automation actually work like reflection, planning, tool use, and decision-making Bookmark it. 1 hour now = hundreds of hours saved later

Ronin

62,026 views • 2 months ago

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:
1:12

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:

claire vo 🖤

50,362 views • 2 months ago

🆕 Claude Cowork, Skills, and the Future of AI Coworkers Felix Rieseberg has spent years working at the interface layer, from Electron and the Slack desktop app to now helping build Claude Cowork. In this episode, Felix explains why execution is getting so cheap that teams can “build all the candidates,” why Anthropic is betting on local-first agent workflows, and why the future of AI products may belong less to chatbots and more to systems that can actually do knowledge work.
0:34

🆕 Claude Cowork, Skills, and the Future of AI Coworkers Felix Rieseberg has spent years working at the interface layer, from Electron and the Slack desktop app to now helping build Claude Cowork. In this episode, Felix explains why execution is getting so cheap that teams can “build all the candidates,” why Anthropic is betting on local-first agent workflows, and why the future of AI products may belong less to chatbots and more to systems that can actually do knowledge work.

Latent.Space

65,812 views • 3 months ago

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.
1:01:06

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 views • 1 month ago

A sneak peek of Princess Jane's home world. I know AI is nowhere near to creating perfect movies yet, but this feels like the beginning of something great. Experimenting with AI-generated scripts like this feels like an important first step on the journey towards more human-AI creativity in filmmaking. For those wondering if I use AI to write my scripts, yes and no, I craft the base ideas, then use Anthropic AI to refine and polish it. I have successfully trained Anthropic on my story; it automatically knows and predicts each plot in the story. I do not wish to destroy human creativity but enhance it through AI; I believe a human and AI partnership will transcend anything we have ever seen.
0:26

A sneak peek of Princess Jane's home world. I know AI is nowhere near to creating perfect movies yet, but this feels like the beginning of something great. Experimenting with AI-generated scripts like this feels like an important first step on the journey towards more human-AI creativity in filmmaking. For those wondering if I use AI to write my scripts, yes and no, I craft the base ideas, then use Anthropic AI to refine and polish it. I have successfully trained Anthropic on my story; it automatically knows and predicts each plot in the story. I do not wish to destroy human creativity but enhance it through AI; I believe a human and AI partnership will transcend anything we have ever seen.

Rufus

1,968,293 views • 2 years ago

Tutorial: Make AI apps with Firebase to automate your creative workflows Firebase is GOAT in AI coding now. So far been way easier than Cursor or Windsurf (and free!). I made an app that searches through my Firefly prompts using Gemini. No coding experience needed. So cool.
1:55

Tutorial: Make AI apps with Firebase to automate your creative workflows Firebase is GOAT in AI coding now. So far been way easier than Cursor or Windsurf (and free!). I made an app that searches through my Firefly prompts using Gemini. No coding experience needed. So cool.

Kris Kashtanova

25,188 views • 1 year ago

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.
1:01

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.

Jacob Klug

123,983 views • 3 months ago

🚨 Anthropic pays $750K a year to understand how AI actually works A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n tutorials. watch the lecture. bookmark it. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Then read the guide below.
56:54

🚨 Anthropic pays $750K a year to understand how AI actually works A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n tutorials. watch the lecture. bookmark it. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Then read the guide below.

Khairallah AL-Awady

31,930 views • 2 months ago

AI agents are only as powerful as the content they can access. Anthropic announced Dispatch in Claude Cowork — assign tasks from your phone, let Claude navigate your computer, get complex work done autonomously. But without a file system built for AI, even the most capable agent is working blind. Connect Claude Cowork to Box and your files become the foundation it reasons from. Is your content infrastructure ready for AI agents?
0:52

AI agents are only as powerful as the content they can access. Anthropic announced Dispatch in Claude Cowork — assign tasks from your phone, let Claude navigate your computer, get complex work done autonomously. But without a file system built for AI, even the most capable agent is working blind. Connect Claude Cowork to Box and your files become the foundation it reasons from. Is your content infrastructure ready for AI agents?

Box

432,932 views • 3 months ago

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
39:11

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 views • 1 month ago

.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.”
1:10

.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 views • 1 year ago

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.
1:01:06

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

831,568 views • 1 month ago

This 2 hour Stanford lecture by Andrew Ng and Laurence Moroney is the most honest AI career playbook I've ever seen. Why now is the best time to build in AI, and what actually gets you hired in 2026. Bookmark & watch tonight, best 2 hours you'll give your career this year.
1:45:01

This 2 hour Stanford lecture by Andrew Ng and Laurence Moroney is the most honest AI career playbook I've ever seen. Why now is the best time to build in AI, and what actually gets you hired in 2026. Bookmark & watch tonight, best 2 hours you'll give your career this year.

Phosphen

31,483 views • 2 months ago

Claude Code is the most powerful AI tool I've ever used Unfortunately 99% of people use it just for coding Here is how I use Claude Code to automate my entire life (ya, you're going to want to bookmark this):
13:20

Claude Code is the most powerful AI tool I've ever used Unfortunately 99% of people use it just for coding Here is how I use Claude Code to automate my entire life (ya, you're going to want to bookmark this):

Alex Finn

63,789 views • 11 months ago

To stay ahead is to embrace enterprise AI 🌟 Day 1 showed what's possible when you're actually ready for unmetered intelligence — expanding the Dell AI Factory with NVIDIA from desktop to data center so you can move from AI curiosity to AI confidence. Here's what you need to know:
0:30

To stay ahead is to embrace enterprise AI 🌟 Day 1 showed what's possible when you're actually ready for unmetered intelligence — expanding the Dell AI Factory with NVIDIA from desktop to data center so you can move from AI curiosity to AI confidence. Here's what you need to know:

Dell Technologies

40,372 views • 1 month ago

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 @@AIEWF

74,362 views • 13 days ago