Federico Adolfi

This one👇🏻 because: 1) the cognitive and brain sciences and AI/ML have typically focused on problem solving and there’s not nearly as much discussion of how we find important problems or what makes a problem worthy of attention; 2) the paper could use more citations. link.spri…

From Empirical Problem-Solving to Theoretical Problem-Finding Perspectives on the Cognitive Sciences - Computational Brain & Behavior link.springer.com

Next week I'll be at University of Göttingen, Campus Institute Data Science. Come say hi ! On Thursday I'll give a talk in the CIDAS lecture series: on the integration of interpretability theory and experiment across AI and the cognitive sciences. www.uni-goettingen.de/en/6901…

Start - Georg-August-Universität Göttingen uni-goettingen.de

Doing formal/computational theory in a multidisciplinary intersection is wonderful because neuroscientists say it’s not biological enough, it’s too theoretical for AI folks, too applied for theoretical computer scientists, not empirical enough for cognitive scientists, & too formal for philosophers💫

Me overthinking job applications: I have to be very specific about my research program and what makes it different from others Successful applicants: my lab will focus on how the brain gives rise to behavior in a complex world oh and something AI too

Machine Learning books: and that’s why NETFLIX uses these POWERFUL TOOLS for RECOMMENDATION SYSTEMS Netflix: our personalized selection for you is 🥁🥁🥁 the show you’ve been watching all week we think you will like it

Excited to share our latest work where we built a dataset of every single line delivered by the famous actor Al Pacino and used it to train a chabot. We call it AI Pacino

Reviewing the slide deck for my talk today: Right, so one slide to introduce them to interpretability, one slide to give them some background on complexity, one slide to bring them all and in the darkness bi — *delete delete* never mind got a bit carried away there

Them: we have cracked the physics of fluids using artificial intelligence, solving one of the toughest puzzles in mathematics Me trying to make latte art, attempt number [redacted]:

Gen Xer: *publishes single paper as tenured professor with chatbot as coauthor* hi fellow kids Gen Zer: *publishes dozens of AI generated papers before grad school without disclosure* sure ok

Not to be all ‘I told you so’ but arguing unconditionally that science is fixed and improved as we automate more and more of it is kind of backfiring with the whole “neuroscientists have 2 years to make a contribution and then they are all obsolete because AI has just graduated Summa Cum Claude”

Next week I’ll be at University of Geneva. I’ll give a talk on Wednesday on interpretability and complexity at the intersection of AI and the Cognitive/Brain Sciences. Happy to chat if you’re in the area!