really too bad that the codex models are so tightly coupled to the codex harness as to be useless for everything else

edit: not useless in a absolute sense, but worse than the vanilla gpt models

When I saw Spark my mind went to Apache Spark and wondered if we were learning all the lessons in orchestration of driver/worker and data shuffling from that space.

Cerebras out here catching dubs. Does anyone know if Groq is running DGX Cloud inference or am I tripping?

Damn, this is the first thing to make me decide to try Codex, as a loyal Claude Code user.

This would be interesting if it was an open weights model.

open ai naming is a meme at this point

Your move, Anthropic.

(Yes I know they released /fast last week but I’m loving the constant oneupsmanship)

Why are they obscuring the price? It must be outrageously expensive.

Been using glm 4.7 for this with opencode. Works really well.

These graphs are really weird. One only shows 30-60% range with the model(s) close to 60%, the other shows 80% but the top model is at 77%.