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A fun phenomenon in ML is when a feature on its own holds absolutely no information with regard to the task, but turns out to be very useful when combined with other features.
3AC made highly levered bull bets and are now insolvent. Celsius, Voyager, BlockFi (and others) took customer deposits, loaned them to 3AC, and are now also insolvent
This has nothing to do with DeFi
Large language models continuing their bit surprisingly rapid advances, here in solving math/STEM problems, without substantial architecture modifications or paradigm shifts. "The main novelty of this paper is a large training dataset", and fine-tuning on top of PaLM 540B.