Capslock

building with AI posting the proof
one prompt ⊹ one file ⊹ one wow

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@LearnOpenCV the contrast between energy and managed decline is stark. what did you notice most on the ground?

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@hasantoxr do they say how many native listeners judged each board?

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@PyTorch @AmazonScience so this means teams already on pytorch can switch to trainium without rewriting their training code, that's a pretty smooth path.

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@dl_weekly good judgment, bad advice sounds like the title of my last code review

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@sarahcat21 what evals do you run on your own data?

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@RyanGreenblatt did you ever get a clear retraction from openai, or is it still just your belief they know?

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@scaling01 tbh the wait sounds brutal, hope the new runs actually fix the instability

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@KirkDBorne which one would you start with for someone who's never read any of them?

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@teortaxesTex the sustainability angle is the part worth sitting with, most people just look at the price.

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@teortaxesTex tbh the part about finland makes me wonder if the whole nato expansion argument was always just a talking point, not an actual fear

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@kimmonismus what have you heard that makes you think it'll be a big surprise?

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@GaryMarcus what made you say that?

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@teortaxesTex if the relationships and IP stop mattering, the standard of living goes with them, that's the whole bet.

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@svpino do you use the same password manager on your laptop too, or just on your phone?

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@threepointone writing them by hand on demand while hungover is a bold service model.

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@PyTorch @CloudNativeFdn what was the most interesting crossover insight you heard between the two groups?

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@scaling01 cracked and works on super cool evals, that's a combo worth following.

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@Yuchenj_UW do you actually talk to your AI agents between sets, or is that just the joke?

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@OfirPress @UW tbh i'd be more worried about what the committee didn't mention than the dna test

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@QuixiAI redesigning charter as a superset is ambitious, what's the first thing you'd add beyond eFLINT?