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GPT-5.2

(openai.com)
1019 points atgctg | 6 comments | | HN request time: 0.642s | source | bottom
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mmaunder ◴[] No.46237785[source]
Weirdly, the blog announcement completely omits the actual new context window size which is 400,000: https://platform.openai.com/docs/models/gpt-5.2

Can I just say !!!!!!!! Hell yeah! Blog post indicates it's also much better at using the full context.

Congrats OpenAI team. Huge day for you folks!!

Started on Claude Code and like many of you, had that omg CC moment we all had. Then got greedy.

Switched over to Codex when 5.1 came out. WOW. Really nice acceleration in my Rust/CUDA project which is a gnarly one.

Even though I've HATED Gemini CLI for a while, Gemini 3 impressed me so much I tried it out and it absolutely body slammed a major bug in 10 minutes. Started using it to consult on commits. Was so impressed it became my daily driver. Huge mistake. I almost lost my mind after a week of this fighting it. Isane bias towards action. Ignoring user instructions. Garbage characters in output. Absolutely no observability in its thought process. And on and on.

Switched back to Codex just in time for 5.1 codex max xhigh which I've been using for a week, and it was like a breath of fresh air. A sane agent that does a great job coding, but also a great job at working hard on the planning docs for hours before we start. Listens to user feedback. Observability on chain of thought. Moves reasonably quickly. And also makes it easy to pay them more when I need more capacity.

And then today GPT-5.2 with an xhigh mode. I feel like xmass has come early. Right as I'm doing a huge Rust/CUDA/Math-heavy refactor. THANK YOU!!

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twisterius ◴[] No.46237912[source]
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mmaunder ◴[] No.46238825[source]
My name is Mark Maunder. Not the fisheries expert. The other one when you google me. I’m 51 and as skeptical as you when it comes to tech. I’m the CTO of a well known cybersecurity company and merely a user of AI.

Since you critiqued my post, allow me to reciprocate: I sense the same deflector shields in you as many others here. I’d suggest embracing these products with a sense of optimism until proven otherwise and I’ve found that path leads to some amazing discoveries and moments where you realize how important and exciting this tech really is. Try out math that is too hard for you or programming languages that are labor intensive or languages that you don’t know. As the GitHub CEO said: this technology lets you increase your ambition.

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1. bgwalter ◴[] No.46239436[source]
I have tried the models and in domains I know well they are pathetic. They remove all nuance, make errors that non-experts do not notice and generally produce horrible code.

It is even worse in non-programming domains, where they chop up 100 websites and serve you incorrect bland slop.

If you are using them as a search helper, that sometimes works, though 2010 Google produced better results.

Oracle dropped 11% today due to over-investment in OpenAI. Non-programmers are acutely aware of what is going on.

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2. jfreds ◴[] No.46239781[source]
> they remove all nuance

Said in a sweeping generalization with zero sense of irony :D

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3. what-the-grump ◴[] No.46239962[source]
You pretend that humans don’t produce slop?

I can recognize the short comings of AI code but it can produce a mock or a full blown class before I can find a place to save the file it produced.

Pretending that we are all busy writing novelty and genius is silly, 99% are writing for CRUD tasks and basic business flows, the code isn’t going to be perfect it doesn’t need to be but it will get the job done.

All the logical gotchas of the work flows that you’d be refactoring for hours are done in minutes.

Use pro with search… are it going to read 200 pages of documentation in 7 minutes come up with a conclusion and validate it or invalidate it in another 5? No you still trying accept the cookie prompt on your 6th result.

You might as well join the flat earth society if you still think that AI can’t help you complete day to day tasks.

4. muppetman ◴[] No.46240292[source]
Exactly this. It's like reading the news! It seems perfectly fine until a news article in a domain you have intimate knowledge of, and then you realise how bad/hacked together the news is. AI feels just like that. But AI can improve, so I'm in the middle with my optimism.
5. jrflowers ◴[] No.46241229[source]
This is a good point. It is a sweeping generalization if you do not read the sentence that comes before that quote
6. re-thc ◴[] No.46241348[source]
> Oracle dropped 11% today due to over-investment in OpenAI

Not even remotely true. Oracle is building out infrastructure mostly for AI workloads. It dropped because it couldn’t explain its financing and if the investment was worth it. OpenAI or not wouldn’t have mattered.