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Gemini 2.5 Pro was very good at writing single, somewhat complex functions. Sure, the rest of the loop would still take time, but nearly-instant implementation? Sign me up.
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> Is there any LLM from exactly one year ago that would be worth running?

Bad perspective: consider the correction: "when are thresholds of sought quality reached"? Hence: not "is there a 10yo from last year that could compete with the current 13yo", but "will there be a 30(?)yo from last year that could compete with the current 33(?)yo" ('(?)': the scale of yearly growth in the future is uncertain).

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It's not just about it "being smart enough". It's about there being actual user demand when it needs to compete with the shiny new model.

A 10 year old iPhone is probably good enough, but is there demand for it? In a vacuum a 10 year old iPhone is good, but why would you pick it if you can have a current one for a reasonable price?

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We still run GPT 4.1 for some of our use cases. We want to replace it but are having trouble finding models that are as fast with similar or better intelligence.
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That is fkin wild. o3 was just a year ago? The progress is truly insane.
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Yeah I had to double check, o3 feels like it was ages ago. But GPT 5 came out Aug 7, so it's only one day off from my 1 year ago cutoff!
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