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Celeste 🌱's avatar

hmm now I want to do one as well. Good update.

How do you find the time to read soany papers and how do you self-evaluate if you have absorbed the paper enough (surely the pareto efficiency lies somewhere in between reading everything implementing nothing and reading little and implementing everything)

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Lydia Nottingham's avatar

running a weekly reading group (https://aman.ai/primers/ai/top-30-papers/, 4-5 papers/week) really helped bootstrap! i currently implement very little. would like to change that but i find it hard to estimate how long implementation will take & how worth it it will be, vs. evaluating how the paper connects to extant research questions/priorities & generating new research directions based off it.

would be interested in how you evaluate what to implement tho writing up probs not best use of ur time

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Rainbow Roxy's avatar

Hey, great read as always. Your discussion on explicitly training models for generalization is quite timely; I often think about how diverse movement patterns in Pilates contribute to a more universally adaptable physical form. Do you anticipate future AI architechtures will intrinsically prioritize this broader adaptability?

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