> Codex is faster but you always have to correct it because it got something wrong
this has been my experience with Codex as well, and I have to fix its mistakes every single time. But recently, I literally threw away three hours of work because it kept adding hundreds of lines to my code base. When I restarted the entire work using Fable and Opus, it was like night and day.
Interesting, but how do they "combine" the results of all those parallel agents? How do they know which parts of each agent response is signal vs noise?
I still don't know why OpenAI doesn't put gpt-5.5-pro in Codex. It's one hell of a model and easily parallels Fable/Mythos. Sure, it'll use up your quota much faster but that's the price some users are willing to pay for absolutely high quality responses.
I think gpt-5.5-pro runs 12x parallel gpt-5.5 agents behind the scene and uses OpenAI's secret sauce to synthesize their answers into one insanely good response.
Apple is very late to the AI party. By the time M7 is shipped, Nvidia will announce 6090 and people will be buying used (3|4|5)090 GPUs to run local models at much better performance than heat throttled M7.
Times like this remind me that despite GLM and Codex and other models being hyped up as Claude Opus 4.8 replacements, I still would not trust them with my most important work. For example, right now I'm working on a huge refactoring project, and even Opus has struggled with it after several days. I cannot even imagine how GLM, Codex, or other models would handle this. So the only option for me is to wait until this outage is over.
And it's not like open models are cheap to run even as alternatives. For example, with my $100/mo subscription for Claude Code, I often burn more than $100 a day several times a week. But if I were to use the API of GLM, it would be about $300.
In any case, I think there are frauds in all ranks of universities. I've seen people in CMU steal someone else's research idea or even a whole paper and the university doesn't punish the professors who did this. It's the PhD students whose work and life gets destroyed by such things.
this has been my experience with Codex as well, and I have to fix its mistakes every single time. But recently, I literally threw away three hours of work because it kept adding hundreds of lines to my code base. When I restarted the entire work using Fable and Opus, it was like night and day.