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GPT-5.2

openai.com

41–50 of 1001 posts

Re: GPT-5.2

#41
post #26

Are benchmarks the right way to measure LLMs? Not because benchmarks can be gamed, but because the most useful outputs of models aren't things that can be bucketed into "right" and "wrong." Tough problem!

Not an expert in LLM benchmarks, but I generally I think of benchmarks as being good particularly for measuring usefulness for certain usecases. Even if measuring LLMs is not as straightforward as, say, read/write speeds when comparing different SSDs, if a certain model's responses are consistently measured as being higher quality / more useful, surely that means something, right?

Re: GPT-5.2

#42
The benchmarks are very impressive. Codex and Opus 4.5 are really good coders already and they keep getting better.

No wall yet and I think we might have crossed the threshold of models being as good or better than most engineers already.

GDPval will be an interesting benchmark and I'll happily use the new model to test spreadsheet (and other office work) capabilities. If they can going like this just a little bit further, much of the office workers will stop being useful.... I don't know yet how to feel about this.

Great for humanity probably but but for the individuals?

Re: GPT-5.2

#44
Still no GPT 5.x fine tuning?

I emailed support a while back to see if there was an early access program (99.99% sure the answer is yes). This is when I discovered that their support is 100% done by AI and there is no way to escalate a case to a human.

Re: GPT-5.2

#47

From GPT 5.1 Thinking: ARC AGI v2: 17.6% -> 52.9% SWE Verified: 76.3% -> 80% That's pretty good!

That ARC AGI score is a little suspicious. That's a really tough for AI benchmark. Curious if there were improvements to the test harness because that's a wild jump in general problem solving ability for an incremental update.

Re: GPT-5.2

#48
post #3

Everything is still based on 4 4o still right? is a new model training just too expensive? They can consult deepseek team maybe for cost constrained new models.

I thought whenever the knowledge cutoff increased that meant they’d trained a new model, I guess that’s completely wrong?

Typically I think, but you could pre-train your previous model on new data too.

I don’t think it’s publicly known for sure how different the models really are. You can improve a lot just by improving the post-training set.

Re: GPT-5.2

#50
post #31

For me the last remaining killer feature of ChatGPT is the quality of the voice chat. Do any of the competitors have something like that?

I have found Claude‘s voice chat to be better. I only recently tried it because I liked ChatGPTs enough, but I think I’m going to use Claude going forward. I find myself getting interrupted by ChatGPT a lot whenever I do use it.
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