#AcademicRunPlaylist - 8/2/24

It was pretty brutal out, but I was still able to get in a shorter run and listen to some talks for my #AcademicRunPlaylist!

First was a fascinating talk by Cat Hobaiter on decoding ape communication at the Simons Institute for the Theory of Computing https://www.youtube.com/watch?v=2hG2J8ilqlM

Next was a sweeping talk by Alison Gopnik on thinking of LLMs as cultural technologies at the Simons Institute https://www.youtube.com/watch?v=qoCl_OuyaDw

Next was an intriguing talk by Shiry Ginosar on social behavior prediction from video at the Simons Institute https://www.youtube.com/watch?v=pSlDAq_zlBQ

Next was an insightful conversation with Lauren Pringle on the recent adoption of DGCL section 122 and the implications for Delaware companies and corporate law more broadly at the Stanford Law School. Pringle clearly lays out the concerns of how this change, which essentially blesses stockholder agreements to supersede board authority, will alter corporate governance moving forward. Highly recommend https://www.youtube.com/watch?v=TQ-iUAN47Q0

Next was an interesting talk by Guillaume Dumas on dynamical cognitive systems at the Simons Institute https://www.youtube.com/watch?v=X300Qtq-cms

Next was a great talk by Justine Cassell on quantifying and understanding sociality in language and thought at the Simons Institute https://www.youtube.com/watch?v=gbWCJLqlrJE

Next was a good rundown of the monthly BLS employment data by Gregory Brown at the Kenan Institute of Private Enterprise https://www.youtube.com/watch?v=V-fVgznGfb0

Next was an excellent talk by Jean-Baptiste Poline on the statistical and sociological components of reproducibility at the University of Washington eScience Institute. Poline explores current problems with replication and reproducibility in the medical sciences, starting at misuse and misunderstanding of statistical methods and touching on poor study planning, hypothesis specification, and incentives. Highly recommend https://www.youtube.com/watch?v=qyRKj7tm9vw

Next was a compelling talk by Jacob Andreas on probing how concepts are represented in language models at the Simons Institute https://www.youtube.com/watch?v=H87npZLjUyw

Next was an engaging talk by Michael Frank on measuring and bridging the data gap between human children and AI models at the Simons Institute https://www.youtube.com/watch?v=qdAUlZz1nrI

Next was a thought-provoking talk by Trevor Darrell on grounding and developing next token prediction models for images, video, and robotics at the Simons Institute https://www.youtube.com/watch?v=LTNP20fK2Gk

Last was a nice talk by Christos Papadimitriou on understanding what neural machinery is needed for language acquisition at the Simons Institute https://www.youtube.com/watch?v=ZxzWXiQJmgg