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aiguideReading Stanford CS231N Deep Learning for Computer Vision

World Modeling / Robot Learning, Human-Centered AI and the Final Project | Stanford CS231N Topic Guide

The last two lectures of CS231N Spring 2026 have no public slides. The schedule lists L17 only as "World Modeling" with guest lecturer Gordon Wetzstein, and L18 only as "Human-Centered AI." Outside readers get 2025 substitutes: that year's L17 was a different topic, Robot Learning (Yunzhu Li, slides and video), and L18 is a Fei-Fei Li recording with no slides. This post labels each year separately and never presents 2025 content as 2026. The second half covers the final project: 35% of the grade, two tracks (Applications and Models), pixels required, and deliverables of a one-paragraph proposal, three milestone check-ins, a 6–8 page report and a poster.

#cs231n#ai-course#stanford#computer-vision#world-model#embodied-ai#human-centered-ai#research-project
aideep-diveReading Stanford CS224N Natural Language Processing with Deep Learning

Reading Agentic Interpretability Without Public Slides | Stanford CS224N Lecture 15

Lecture 15 is Been Kim's interpretability guest session, but the Winter 2026 site publishes no slides or agenda. This article does not invent lecture content; it maps the five official readings across concept discovery, agentic investigation, and new vocabulary.

#cs224n#interpretability#human-centered-ai#ai-agent#stanford