Could a major opportunity to improve representation in deep learning be hiding in plain sight? Check out our new position paper: Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. Paper: arxiv.org/abs/2505.11581

"Corner cases". "Long tails". You can play whack-a-mole with them. Or, you can confront their root causes directly. Our new paper "Evolution and The Knightian Blindspot of Machine Learning" argues we should do the latter.

new paper: "Evolution and the Knightian Blindspot of Machine Learning" Our ever-changing world bubbles with surprise and complexity. General AI must include handling unforeseen situations with grace. Yet this issue largely lies outside AI's formalisms: a blind spot. (1/n)

It’s the new year. Delete slack from your phone. Open your email after lunch. Disconnect the WiFi on Saturdays. Go to the woods on the weekend. Purchase a one way ticket to Alaska. Join a community of bears. Film a documentary. Post it on LinkedIn.

Economics papers were a bit different in the 80s? From "Let's Take the Con out of Econometrics" by Edward Leamer, >3k citations

"Move then with new desires. / For where we used to build and love / Is no-man's land, and only ghosts can live / Between two fires." -C. Day-Lewis

“Friendship Feed" is a feed with the goal of surfacing the people you care about, even if they don’t post a lot! Mixology: Find your mutuals, shuffle them, and show one post per person from their latest few. LMKWYT :) https://bsky.app/profile/did:plc:wmhp7mubpgafjggwvaxeozmu/feed/bestoffollows