the funniest thing about "this is not AI, this is machine learning and it's good!!!" replies is that ML is a subfield of the broader AI field, and the disliked "AI" is a product of that exact subfield
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guys you literally already wrote a whole blog post about it, how hard is it to add "opt-in on both sides" into the tweet before posting (and to add alt text). you know your userbase and somehow keep fumbling basic communication
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itβs amazing how far you can vibecode stuff. the biggest challenge so far to me is knowing when to hit the brakes and make it refactor things to remove tech debt, and how to feed just the right examples in context so it can make good decisions
