Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, surfacing new mechanistic ideas and generating clear predictions for future experiments Preprint from @GoogleDeepMind Neuroscience Lab collaborators

We’ve seen the best results among people who have trouble recalling or barely perceive any dreams. Supercharging their recall, vividness, continuity, clarity, and control of dreams. Y-axis scales How well do you recall the dreams? 1 - Very little 10 - Completely How vivid were the dream(s)? 1 - Very little 10 - Hyper How continuous were the dreams)? 1 - Very little 10 - Hyper How clear was your thinking in your dream(s)? (Clear thinking means your thoughts are not irrational or deluded. For example, you understand that a dream figure is not really the same person as in the waking world.) 1 - Not at all clear 10 - Extremely clear I made deliberate choices that changed what happened 1 - Strongly disagree 10 - Strongly agree

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

We have a new paper published in Computational Psychiatry! We used large-language models (LLMs) to estimate linguistic distance in psychotherapy text and found that ratings tracked with clients’ symptoms in treatment over time, more strongly than word-counting techniques did.

Can LLMs be used to discover interpretable models of human and animal behavior?🤔 Turns out: yes! Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior. 1/12

The Chicago Sun-Times published an upcoming summer books list that is obviously AI. The clues are that there is no byline and at least 8 of these titles do not exist.