@Markmanson doing a lot of work that doesn’t move anything forward is exhausting in its own way. progress feels very different when the work actually matters to you.
@Gaus450 exactly. the better you understand the problem, the less you need to tell ai what to do. eventually the real skill becomes knowing what to ask, what to reject, and what to fix yourself.
@zdogmode the hype didn’t disappear, it got real. after the launch, the conversation shifted from benchmarks to what people can actually do with it. now everyone’s waiting for the next thing.
@Hiteshdotcom the label is becoming less useful anyway. the real difference is whether you understand what you’re shipping or just hoping the ai got it right.
@nikhilx22 europe has the talent and research, but the us and china have been much better at turning that research into massive companies, capital, compute, and products. talent alone doesn’t build an ai ecosystem.
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