Tootfinder

Edison, which last month released AI tool Kosmos to speed up and automate complex scientific hypothesis generation, raised $70M at a $250M valuation (Rachel Metz/Bloomberg)
https://www.bloomberg.com/news/articles/2025-12-…

And more to read in your freetime, if you are interested in AI, from Bluesky, Phillip Isola.
"Over the past year, my lab has been working on fleshing out theory applications of the Platonic Representation Hypothesis.
Today I want to share two new works on this topic:"
Eliciting higher alignment:
https://arxiv.org/…

Words That Make Language Models Perceive
Large language models (LLMs) trained purely on text ostensibly lack any direct perceptual experience, yet their internal representations are implicitly shaped by multimodal regularities encoded in language. We test the hypothesis that explicit sensory prompting can surface this latent structure, bringing a text-only LLM into closer representational alignment with specialist vision and audio encoders. When a sensory prompt tells the model to 'see' or 'hear', it cues the model to resolve its next…

Innocence Project - URGENT: Stop the execution of Robert Roberson
https://innocenceproject.org/petitions/call-on-gov-abbott-to-stop-robert-robersons-execution/

Urge Gov. Abbott to Stop Robert Roberson’s Execution
Mr. Roberson would be first person in the U.S. executed based on the discredited shaken baby syndrome hypothesis. Act now.

Presentation due Tuesday, paper due Saturday. And tonight my professor ripped apart my hypothesis. Tomorrow is going to be a long day.

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
Changde Du, Yizhuo Lu, Zhongyu Huang, Yi Sun, Zisen Zhou, Shaozheng Qin, Huiguang He
https://arxiv.org/abs/2509.24298

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
The ability to represent emotion plays a significant role in human cognition and social interaction, yet the high-dimensional geometry of this affective space and its neural underpinnings remain debated. A key challenge, the `behavior-neural gap,' is the limited ability of human self-reports to predict brain activity. Here we test the hypothesis that this gap arises from the constraints of traditional rating scales and that large-scale similarity judgments can more faithfully capture the brain'…