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It honestly explains so many issues I have been having, as I used it primarily for ML research (on my personal account, doing things not related to my job I should note). It would literally typo package names and spend huge amounts of time failing to setup simple environments…then do stupid things like set the learning rate to 1e-7, and use the eval set as training data.
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It burned through all of my tokens in a very short time. I wonder if it their ML mitigations leads to model into deadlocks.
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That’s insane. I hope they fix it.
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Nothing to fix. This is working as designed.

Using codex for this use case is the fix.

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just imagine if they made it sneaky. get things just subtly wrong enough that your training runs just never quite go as well as you think they should.
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This explains why I've been running into some odd roadblocks. Welp that sealed the deal, I'm going to be cancelling our company sub, not worth it.
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Did my Claude get permanently dumber today because I asked fable to assess my Fairplay integration?
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