Three or Four Stories of Unprecedented Progress in Artificial Intelligence at Stanford

When it comes to artificial intelligence, being at Stanford is like living a few years in the future; the seemingly niche ideas that Stanford students and professors are obsessed with today are likely to be the hottest of hot topics in 2027. Join Professor Christopher Potts as he shares a few striking, very recent examples of this, claiming that each one allows us to glimpse the near future for the field. We’ll close with a meditation on what all this progress means for education, and more broadly for society.
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Christopher Potts is a Professor and the Chair of Linguistics and Professor, by courtesy, of Computer Science at Stanford, and a faculty member in the Stanford NLP Group and the Stanford AI Lab. His group uses computational methods to explore topics in context-dependent language use, neural network interpretability, and information retrieval. This research combines methods from linguistics, cognitive psychology, and computer science, in the service of both scientific discovery and technology development.

[@onyinyechiatula4337]

Commenting to stay on this side of youtube

[@KaleoSelah]

Sooo good! The human touch is Scale AI focus

[@420_gunna]

Chris is awesome and 224u rocks, excited for this

[@al1muse]

Would be very useful to have in the introduction of this presentation a description of the basic AI algorithms underlying presented models/tools