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GPT-5.3-Codex

openai.com

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Re: GPT-5.3-Codex

#391

Earlier quoted context omitted.

I have a `codex-review` skill with a shell script that uses the Codex CLI with a prompt. It tells Claude to use Codex as a review partner and to push back if it disagrees. They will go through 3 or 4 back-and-forth iterations some times before they find consensus. It's not perfect, but it does help because Claude will point out the things Codex found and give it credit.

Mind sharing the skill/prompt?

Not the OP, but I use the same approach.

https://gist.github.com/drorm/7851e6ee84a263c8bad743b037fb7a...

I typically use github issues as the unit of work, so that's part of my instruction.

Re: GPT-5.3-Codex

#392
post #356

Earlier quoted context omitted.

I'm personally 100% convinced of the opposite, that it's a waste of time to steer them. we know now that agentic loops can converge given the proper framing and self-reflectiveness tools.

Does the AI agent know what your company is doing right now, what every coworker is working on, how they are doing it, and how your boss will change priorities next month without being told? If it really knows better, then fire everyone and let the agent take charge. lol

A significant portion of engineering time is now spent ensuring that yes, the LLM does know about all of that. This context can be surfaced through skills, MCP, connectors, RAG over your tools, etc. Companies are also starting to reshape their entire processes to ensure this information can be properly and accurately surfaced. Most are still far from completing that transformation, but progress tends to happen slowly, then all at once.

Re: GPT-5.3-Codex

#393

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?

Personally, I’ve only been using a coding agent for a few months infrequently, so I have nothing to show for it. (It is not 100x productivity, that’s absurd.)

But I have plenty of examples of really atrocious human written code to show you! TheDailyWtf has been documenting the phenomenon for decades.

Re: GPT-5.3-Codex

#394
post #150

Earlier quoted context omitted.

Did you look at the ARC AGI 2? Codex might be overfit for terminal bench

ARC AGI 2 has a training set that model providers can choose to train on, so really wouldn't recommend using it as a general measure of coding ability.

[deleted]

Re: GPT-5.3-Codex

#395
post #388

Earlier quoted context omitted.

I think the 'better than googling' part is less about the final code and more about the friction. For example, consider this game: The game creates a target that's randomly generated on the screen and have a player at the middle of the screen that needs to hit the target. When a key is pressed, the player swings a rope attached to a metal ball in circles above it's head, at a certain rotational velocity. Upon key rel…

The downside is that you miss the chance to brush up on your math skills, skills that could help you understand and express more complicated requirements. ...This may still be worth it. In any case it will stop being a problem once the human is completely out of the loop. edit: but personally I hate missing out on the chance to learn something.

That would indeed be the case if one has never learned the stuff. And I am all in for not using AI/LLM for homework/assignments. I don't know about others, but when I was in school, they didn't let us use calculators in exams.

Today, I know very well how to multiply 98123948 and 109823593 by hand. That doesn't mean I will do it by hand if I have a calculator handy.

Also, ancient scholars, most notably Socrates via Plato, opposed writing because they believed it would weaken human memory, create false wisdom, and stifle interactive dialogue. But hey, turns out you learn better if you write and practice.

Re: GPT-5.3-Codex

#396

I think this announcement says a lot about OpenAI and their relationship to partners like Microsoft and NVIDIA, not to mention the attitude of their leadership team. On Microsoft Foundry I can see the new Codex 4.6 model right now , but GPT-5.3 is nowhere to be seen. I have a pre-paid account directly with OpenAI that has credits, but if I use that key with the Codex CLI, it can't access 5.3 either. The press release…

GPT 5.3 is not in the API yet AIUI.

Translation: "We've announced this great new thing that we're struggling to make available on channels we control, unlike our competitors who seem to have no issues despite a fraction of our budget!"

Re: GPT-5.3-Codex

#397
I have wanted to hold back from answering comments that ask for proof of real work/productivity gains because everyone works differently, has different skill levels and frankly not everyone is working on world changing stuff. I really liked a comment someone made a few of these posts ago, these models are amazing! amazing! if you don't actually need them, but if you actually do need them, you are going to find yourself in a world of hurt. I cannot agree more, I (believe) I am a good software engineer, I have developed some interesting pieces of software over the decades and usually when I got passionate about a project, I could do really interesting things within weeks, sometimes months. I will say this, I am working on some really cool stuff, stuff I cannot tell you about, or else. And my velocity is for what used to take months is days and hours for what used to take weeks. I still review everything, I understand all the gotchas of distributed systems, performance, latency/throughput, C, java, SQL, data and infra costs, I get all of it so I am able to catch these mofos when they are about to stab me in the back but man! my productivity is through the roof. And I am loving it. Just so I can avoid saying I cannot tell you I am working on, I will start something that I can share soon (as soon as decades of pent up work is done, its probably less than a few months away!). Take it with a grain of salt, and know this, these things are not your friends, they WILL stab you in the back when you least expect them, cut a corner, take a short cut, so you have to be the PHB (dilbert reference!) with actual experience to catch them slacking. Good luck.

Re: GPT-5.3-Codex

#398

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…

be rich, hire an ai guy, let him deal with it

Re: GPT-5.3-Codex

#399

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.

Your expectations are wild. Most software engineers could not write a game boy emulator - and now you need zero programming skills whatsoever to write one.

Re: GPT-5.3-Codex

#400

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?

> single useful ... preferably reliable, program that solves a non-trivial problem that hasn't been solved before a bunch of times in publicly available code

I see this originality criteria appended a lot, and

1) I don't think it's representative of the actual requirements for something to be extremely useful and productivity-enhancing, even revolutionary, for programming. IDE features, testing, code generation, compilers — all of these things did not really directly help you produce more original solutions to original problems, and yet they were huge advances in program or productivity.

I mean like. How many such programs are there in general?

The vast vast majority of programs that are written are slight modifications, reorganizations, or extensions, of one or more programs that are already publicly available a bunch of times over.

Even the ones that aren't could fairly easily be considered just recombinations of different pieces of programs that have been written and are publicly available dozens or more times over, just different parts of them combined in a different order.

Hell, most code is a reorganization or recombination of the exact same types of patterns just in a different way corresponding to different business logic or algorithms, if you want to push it that far.

And yet plenty of deeply unoriginal programs are very useful and fill a useful niche, so they get written anyway.

2) Nor is it a particularly satisfiable goal. If there aren't, as a percentage, very many reliable, useful, and original programs that have been written in the decades since open source became a thing, why would we expect a five-year-old technology to have done so, especially when, obviously, the more reliable original and broadly useful programs have already written, the narrower the scope for new ones to satisfy the originality criteria?

3) Nor is it actually something that we would expect even under the hypothesis that agents make people significantly more productive at programs. Even if agents give 100x productivity gains to writing a useful tool or service or program or improving existing ones with new features. We still wouldn't expect them to give necessarily very many much productivity gains at all to writing original programs, precisely because of their current technology is a product of deep thinking, understanding a specific domain, seeing a niche, inspiration, science, talent and luck much more than the ability to even do productive engineering.

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