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GPT-5.3-Codex

openai.com

421–430 of 634 posts

Re: GPT-5.3-Codex

#421

I think models are smart enough for most of the stuff, these little incremental changes barely matter now. What I want is the model that is fast .

I predict a bifurcation in usage.

Serial usecases ("fix this syntax errors") will go on Cerebras and get 10x faster.

Deep usecases ("solve Riemann hypothesis") will become massively parallel and go on slower inference compute.

Teams will stitch both together because some workflows go through stages of requiring deep parallel compute ("scan my codebase for bugs and propose fixes") followed by serial compute ("dedupe and apply the 3 fixes, resolve merge conflict").

Re: GPT-5.3-Codex

#422

Earlier quoted context omitted.

What amazes me the most is the speed at which things are advancing. Go back a year or even a year before that and all these incremental improvements have compounded. Things that used to require real effort to consistently solve, either with RAGs, context/prompt engineering, have become… trivial. I totally agree with your point that each step along the way doesn’t necessarily change that much. But in the aggregate it’…

The denial of this overall trend on here and in other internet spaces is starting to really bother me. People need to have sober conversations about the speed of this increase and what kind of effects it's going to have on the world.

[deleted]

Re: GPT-5.3-Codex

#423
post #404

Earlier quoted context omitted.

The consumers are getting huge wins. Model costs continue to collapse while capability improves. Competition is fantastic.

> Model costs continue to collapse And yet RAM prices are still sky high. Game consoles are getting more expensive, not cheaper, as a result. When will competition benefit those consumers? Or consumers of desktop RAM?

The free market has simply decided these consumers are not as relevant as the others.

Re: GPT-5.3-Codex

#424

Whats interesting to me is that these gpt-5.3 and opus-4.6 are diverging philosophically and really in the same way that actual engineers and orgs have diverged philosophically With Codex (5.3), the framing is an interactive collaborator: you steer it mid-execution, stay in the loop, course-correct as it works. With Opus 4.6, the emphasis is the opposite: a more autonomous, agentic, thoughtful system that plans deepl…

Did you get those backwards? Codex, Gemini, etc. all wait until the requests are done to accept user feedback. Claude Code allows you to insert messages in between turns.

Re: GPT-5.3-Codex

#425

The most important question: Can it do Svelte now?

Today is the best day to rewrite everything in React. You may not enjoy React, but AI agents do. And they are the ones writing the code.

But human and AI agents enjoy writing Svelte even more.

This really is a non-argument.

Re: GPT-5.3-Codex

#426

Both Opus 4.6 and GPT-5.3 one shot a Gameboy emulator for me. Guess I need a better benchmark.

There's hundreds of gameboy emulators available on Github they've been trained on. It's quite literally the simplest piece of emulation you could do. The fact that they couldn't do it before is an indictment of how shit they were, but a gameboy emulator should be a weekend project for anyone even ever so slightly qualified. Your benchmark was awful to begin with.

"a gameboy emulator should be a weekend project for anyone even ever so slightly qualified" do you really believe something so ridiculous?

Re: GPT-5.3-Codex

#427
post #352

Earlier quoted context omitted.

Moltbot is an attempt to do that. Would you hire it as a personal secretary and entrust all your personal data to it?

Only people who haven't had a secretary would think it's a personal secretary. Like, it can't even answer the phone.

[deleted]

Re: GPT-5.3-Codex

#428

I've been listening to the insane 100x productivity gains you all are getting with AI and "this new crazy model is a real game changer" for a few years now, I think it's about time I asked: Can you guys point me ton a single useful, majority LLM-written, preferably reliable, program that solves a non-trivial problem that hasn't been solved before a bunch of times in publicly available code?

I'm building an entire game on Unity using LLMs. It's an action RPG.

Re: GPT-5.3-Codex

#429
post #428

I've been listening to the insane 100x productivity gains you all are getting with AI and "this new crazy model is a real game changer" for a few years now, I think it's about time I asked: Can you guys point me ton a single useful, majority LLM-written, preferably reliable, program that solves a non-trivial problem that hasn't been solved before a bunch of times in publicly available code?

I'm building an entire game on Unity using LLMs. It's an action RPG.

Is it just a game built with LLMs or are you leaning into the cheap content gen capabilities to make the game exceptionally deep/braod?

Re: GPT-5.3-Codex

#430

Whats interesting to me is that these gpt-5.3 and opus-4.6 are diverging philosophically and really in the same way that actual engineers and orgs have diverged philosophically With Codex (5.3), the framing is an interactive collaborator: you steer it mid-execution, stay in the loop, course-correct as it works. With Opus 4.6, the emphasis is the opposite: a more autonomous, agentic, thoughtful system that plans deepl…

…what? It is quite literally the opposite. This isn’t a matter of taste or perception.
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