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All of these are things that power users IMMEDIATELY notice and get annoyed. But there's no good way to report them, and the eng teams clearly are flying blind, patting themselves on the back how everything is up velocity-wise... but product quality got degraded! And they don't even know
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Nelson Elhage Mastodon
New blog post! This one, on (software) systems operating at or beyond their capacity, what goes wrong, and how to degrade gracefully.
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11 September
24 August
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AI models can start to decay. The output (gross) starts to flatten. Sentences sound more repetitive. Boring.
30 July
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Um, and sometimes that's because the model is trying to do something it doesn't have a lot of experience doing. So it's been trained on a whole set of things and as soon as you get a little bit off the distribution of things it knows how to do then like most machine learning models it will you know its performance will suddenly will start to degrade and the farther you get off the comfort zone of what it knows how to do the the more likely it is to to not work as well.
23 March
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Now, the second thing is we have to build data centers that gracefully degrade.
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