- Meet Chip Huyen
- AI researcher, educator, author, and entrepreneur
- Born and raised in Vietnam
- Earned a Bachelor's and Master's degree in Computer Science from Stanford University
- Started her career working at leading technology companies including NVIDIA and Netflix
- Worked on large-scale machine learning systems used by millions of users
- Became one of the earliest voices explaining how to take machine learning from research to production
- Taught Machine Learning Systems Design at Stanford University
- Shared practical insights on AI, MLOps, and machine learning engineering
- Built a strong reputation among AI engineers and researchers worldwide
- Authored the bestselling book Designing Machine Learning Systems
- Helped thousands of engineers understand how to build and deploy AI systems at scale
- Founded Claypot AI
- Focused on building infrastructure for real-time AI applications
- While many focused only on AI models...
- She focused on making AI systems work reliably in the real world
- Became one of the most respected educators in AI engineering
- Continues to teach, write, build startups, and shape the future of AI infrastructure
- From student → NVIDIA → Netflix → Stanford educator → AI founder
Massive inspiration for aspiring AI engineers and entrepreneurs
"Craftsman is knowing how to work, Art is knowing how to stop" - @BenAffleck explains LLMs and why he's not worried about AI taking filmmakers' jobs.
This might be his sexiest moment on stage, in my opinion. 😍
Bill Ackman was buying Uber at $82.12 and calling it "incredibly cheap".
Today, you can buy it for $70 at 17.5x earnings.
That's a 14% lower price.
$UBER
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.
It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.
Now in public beta on the Claude Platform.
Introducing "codebase to course", a skill that turns any codebase into an interactive coding course
So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes...
I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later
Link below
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.