6/19/2025 (very overdue)

shap model (SHapley Additive exPlanations, great acronym btw) - interpreting machine learning model predictions based on game theory, model agnostic/ad hoc approach, shows how much a certain feature pushed the output up or down

speculative decoding - make ai more efficient (algorithmic details here), calculate tokens autoregressively but in parallel to be more efficient, fast approximative function for decoding


i tried to watch this video on sheafification but i didn't understand anything other than the fact that i've basically forgotten everything from topology um

really cool article about how scientists are using ai for manipulating the brain, takes the analogy between ai and neuroscience a bit further --> developments in ai can help us improve our understanding of the brain and develop applications like readers to help ppl with dyslexia. i think the interviewee's response to the question about the ethics of having a digital copy of a brain to be very insightful, even if there are things as intelligent as humans, it doesn't take away from how each human has a lifetime of distinct, important experiences that effectively make them a human! so basically this shows to us how intelligence isn't everything we should place emphasis on. and yes, we need better ai policy!!

new infinities or not :O that is the question! i've always hated on set theory so this is interesting i guess.

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