Could there be a benefit to releasing a new model, slowly dumbing it down over a couple months, then releasing a new model that’s marginally if at all better than the original to create a perceived improvement when in reality there isn’t really one?
For an industry that’s stagnant in progress yet relies on new frequent releases to survive (non-progress being an existential risk), this could make sense.
I have no idea if that’s what’s happened, I completely pulled it out of my butt. And I have no idea is the actual frontier is stagnating.
I've subjectively detected this in previous codex releases where the 2 days before release of a new model the agent went from great to me pulling my hair out yelling at it. I think it's just a win-win for them. They need to ramp up basic capacity and usage on the new model, what better way to free up capacity than to reduce the effort with the current gen. There's not deep detectors that they've regressed (especially before this guy showed solid data).
talon8635 · · focus · HN ↗
For an industry that’s stagnant in progress yet relies on new frequent releases to survive (non-progress being an existential risk), this could make sense.
I have no idea if that’s what’s happened, I completely pulled it out of my butt. And I have no idea is the actual frontier is stagnating.
sporkland · · focus · HN ↗