@0xcryptowizard: Stanford's latest course, worth checking out. About self-evolving AI, covering scaling laws, chain-of-thought, RLHF, reasoning models, etc. YouTube link: https://youtu.be/6YnLB0XbTnI?si=Dg-aSXbDxymA4U…
Summary
Recommending Stanford University's CS329A course, about self-improving AI agents, covering scaling laws, chain-of-thought, RLHF, reasoning models, and more.
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Cached at: 08/04/26, 08:06 AM
Stanford’s latest course, worth checking out. On self-evolving AI, covering scaling laws, chain-of-thought, RLHF, reasoning models, etc. YouTube link: https://youtu.be/6YnLB0XbTnI?si=Dg-aSXbDxymA4UcB…
TL;DR: This is the opening segment of Stanford’s CS329A course, introducing the course topic as “Self-Improving AI Agents,” surveying the enrolled students’ composition (mostly master’s students), and finally the instructor Akansha begins her self-introduction.
Course Opening and Student Demographics
The professor welcomes students to the Fall semester CS329A course and confirms everyone is in the right classroom. The course topic is self-improving AI agents.
The professor conducted a quick in-class survey to understand the grade-level composition of enrolled students:
- Master’s students: the majority
- PhD students: a few
- Undergraduates: a small number
The professor commented that this is a “very good balance.”
Instructor Self-Introduction
The instructor Akansha begins introducing herself, mentioning that her research area is large language models (LLMs). Since the video cuts off at this point, the self-introduction is not fully presented.
Source
YouTube video: Stanford’s latest course on self-evolving AI (https://www.youtube.com/watch?v=6YnLB0XbTnI)
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