“Coders at these labs have sunk untold resources into creating the ideal coding interface. What would a purpose-built plumber’s interface look like? […] none of that will exist unless someone who understands the technology also takes the time to understand the job.” -Oren Cass, NYTimes
I don’t think I agree, but this is an interesting take. Basically math is about the process of the solution, and if AI gives solutions, there’s nothing left to motivate mathematicians to discover new intermediate proofs #ai
Interesting reflections on how a digital and AI world changes our sense of humanity This Jungian Life Podcast and religious imagery being used in discussions of AI on another episode. The line about living in a world of “non-things” (fewer tangible/physical objects) has stuck with me. #ai
An idea I’ve yet to see well executed, but I’m interested in hugginface’s “ML Intern,” which “researches, writes, and ships good quality ML related code.” https://github.com/huggingface/ml-intern
“If I use ChatGPT to help me partially solve a Millennium Prize problem, what are the chances that my work will influence training such that a later model helps someone else solve it first?” -Simon Willison on recent events #ai
https://github.com/maziyarpanahi/openmed Very cool use of Apple MLX in the example app. Cool small model use case in general: HIPAA identifier detector.
Two fascinating recent articles. One on integration of generative AI into clinical pathways (from intake to payment) and one on LLMs doing formerly-manual chart review. Apologies for pay walls. But abstracts are available without paying.
Impossible Creatures
Currently reading: Impossible Creatures by Katherine Rundell 📚 Interesting world, compelling plot. I’m most impressed by the information density. There are chapters that other authors would turn in to whole books.