> I'm not sure folks who're putting out strong takes based on this have read this paper. They haven't read the other papers either. It's really striking to me

> I'm not sure folks who're putting out strong takes based on this have read this paper. They haven't read the other papers either. It's really striking to me to watch people retweet this and it get written up in pseudo-media like Business Insider when other meta-learning papers on the distributional hypothesis of inducing meta-learning & generalization, which are at least as relevant, can't even make a peep on specialized research subreddits - like, "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression", Raventós et al 2023 https://arxiv.org/abs/2306.15063 https://arxiv.org/abs/2306.15063 (or https://arxiv.org/abs/2310.08391 https://arxiv.org/abs/2310.08391 ) both explains & obsoletes OP, and it was published months before! OP is a highly limited result which doesn't actually show anything that you wouldn't expect on ordinary Bayesian meta-reinforcement-learning grounds, but there's so much appetite for someone claiming that this time, for real, DL will 'hit the wall' that any random paper appears to be definitive to critics.