Earlier quoted context omitted.
I do not trust the AI benchmarks much, they often do not line up with my experience. That said ... I do think Codex 5.2 was the best coding model for more complex tasks, albeit quite slow. So very much looking forward to trying out 5.3.
Just some anecdata++ here but I found 5.2 to be really good at code review. So I can have something crunched by cheaper models, reviewed async by codex and then re-prompt with the findings from the review. It finds good things, doesn't flag nits (if prompted not to) and the overall flow is worth it for me. Speed loss doesn't impact this flow that much.
GPT-5.3-Codex
111–120 of 634 posts
Re: GPT-5.3-Codex
#112Earlier quoted context omitted.
Another day, another hn thread of "this model changes everything" followed immediately by a reply stating "actually I have the literal opposite experience and find competitor's model is the best" repeated until it's time to start the next day's thread.
[flagged]
You can take off your tinfoil hat. The same models can perform differently depending on the programming language, frameworks and libraries employed, and even project. Also, context does matter, and a model's output greatly varies depending on your prompt history.
Re: GPT-5.3-Codex
#113Something that caught my eye from the announcement: > GPT‑5.3‑Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training I'm happy to see the Codex team moving to this kind of dogfooding. I think this was critical for Claude Code to achieve its momentum.
Do we still think we'll have soft take off?
Re: GPT-5.3-Codex
#114When 2 multi billion giants advertise same day, it is not competition but rather a sign of struggle and survival. With all the power of the "best artificial intelligence" at your disposition, and a lot of capital also all the brilliant minds, THIS IS WHAT YOU COULD COME UP WITH? Interesting
What's funny is that most of this "progress" is new datasets + post-training shaping the model's behavior (instruction + preference tuning). There is no moat besides that.
Compute.
Google didn't announce $185 billion in capex to do cataloguing and flash cards.
Re: GPT-5.3-Codex
#115The behind the scenes on deciding when to release these models has got to be pretty insanely stressful if they're coming out within 30 minutes-ish of each other.
It’s also functionally not likely without some sort of insider knowledge or coordination
I suppose coincidences happen too but that just seems too unlikely to believe honestly. Some sort of knowledge leakage does seem like the most likely reason.
Re: GPT-5.3-Codex
#116Something that caught my eye from the announcement: > GPT‑5.3‑Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training I'm happy to see the Codex team moving to this kind of dogfooding. I think this was critical for Claude Code to achieve its momentum.
More importantly, this is the early steps of a model self improving itself. Do we still think we'll have soft take off?
Re: GPT-5.3-Codex
#117Earlier quoted context omitted.
Another day, another hn thread of "this model changes everything" followed immediately by a reply stating "actually I have the literal opposite experience and find competitor's model is the best" repeated until it's time to start the next day's thread.
[flagged]
AI agents, perhaps? :-D
Re: GPT-5.3-Codex
#118Anybody else not seeing it available in Codex app or CLI yet (with Plus)?
Re: GPT-5.3-Codex
#119Re: GPT-5.3-Codex
#120May I at least understand what it has "written". AI help is good but don't replace real programmers completely. I'm enough copy pasting code i don't understand. What if one day AI will fall down and there will be no real programmers to write the software. AI for help is good but I don't want AI to write whole files into my project. Then something may broke and I won't know what's broken. I've experienced it many times already. Told the AI to write something for me. The code was not working at all. It was compiling normally but the program was bugged. Or when I was making some bigger project with ChatGPT only, it was mostly working but after a longer time when I was promting more and more things, everything got broken.