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That has nothing to do with context window or the models at all; it's the compute capacity.

Pretty much every single AI firm had the same issue when the new model came out, it's the result of everyone jumping onboard and consuming all available compute capacity to break it for days.

Claude had the same issues when they released their newer models.

by embedding-shape1 days ago|

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> That has nothing to do with context window or the models at all; it's the compute capacity.

Quite literally a harness feature/bug though, that it's unable to compact when reaching the max context (which seemingly both codex and Claude Code struggled with in the beginning), not something that will happen at every model release forever.

Hasn't happen for at least the two last model releases in Codex, not sure why you'd imply that.

by cmrdporcupine1 days ago|

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Claude also had issues with this kind of thing for months early on, too, where it simply couldn't compact its own emissions.

But definitely earlier GPT models suffered greatly as context got large, and the compaction itself in Codex was really crappy. That changed around January.