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Can anyone explain what all this hubbub is around the new AI models? Seems to have been a sudden uptick in people expecting fast take-off or something?
The biggest change has been in coding and software engineering capabilities. Around December, models and harnesses reached an inflection point: before, they could do small tasks, but it was very easy to find yourself spending as much time guiding or coaching them as you would have spent coding it yourself. That is no longer the case.
Personally, in the past month I've probably committed 3x the code as I did in the past, while actually writing maybe 10% as much as I did before. I'm somewhat ahead of the curve, even within my very AI-forward company and team, but for years I've felt "AI will put me out of a job in 5 years"; this is the first time that expected career longevity has actually decreased. I've got an agent working on a ticket right now.
We also have seen advances in math, video, cost per token, etc., but the software inflection point is driving the current vibe shift.
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