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GPT-5.2

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271–280 of 1001 posts

Re: GPT-5.2

#271

Is it me, or did it still get at least three placements of components (RAM and PCIe slots, plus it's DisplayPort and not HDMI) in the motherboard image[0] completely wrong? Why would they use that as a promotional image? 0: https://images.ctfassets.net/kftzwdyauwt9/6lyujQxhZDnOMruN3f...

FTA: Both models make clear mistakes, but GPT‑5.2 shows better comprehension of the image.

You can find it right next to the image you are talking about.

Re: GPT-5.2

#272
post #243

I've benchmarked it on the Extended NYT Connections benchmark ( https://github.com/lechmazur/nyt-connections/ ): The high-reasoning version of GPT-5.2 improves on GPT-5.1: 69.9 → 77.9. The medium-reasoning version also improves: 62.7 → 72.1. The no-reasoning version also improves: 22.1 → 27.5. Gemini 3 Pro and Grok 4.1 Fast Reasoning still score higher.

Gemini 3 Pro Preview gets 96.8% on the same benchmark? That's impressive

GPT-5.2 might be Google's best Gemini advertisement yet.

Re: GPT-5.2

#273

Earlier quoted context omitted.

Not for my use case. I can open it up, and in restored classical Latin pronunciation say "Hi, my name is X, how are you?" and it will respond (also in Latin) "Hello X, I am well, thanks for asking. I hope you are doing great." Its pronunciation is not great, but intelligible. In the written transcript, it butchers what I say, but its responses look good, although sans macrons indicating phonemic vowel length. Gemini…

I have to ask: What usecase requires you to speak Latin to the llm?

I'm a Latin language learner, and part of developing fluency is practicing extemporaneous speech. My dog is a patient listener, but a poor interlocutor. There are Latin language Discord servers where you can speak to people, but I don't quite have the confidence to do that yet. I assume the machine doesn't judge my shitty grammar.

Re: GPT-5.2

#274
post #125

Wow, there's a lot going on with this pelican riding a bicycle: https://gist.github.com/simonw/c31d7afc95fe6b40506a9562b5e83...

the only benchmark i trust

Re: GPT-5.2

#275

I've benchmarked it on the Extended NYT Connections benchmark ( https://github.com/lechmazur/nyt-connections/ ): The high-reasoning version of GPT-5.2 improves on GPT-5.1: 69.9 → 77.9. The medium-reasoning version also improves: 62.7 → 72.1. The no-reasoning version also improves: 22.1 → 27.5. Gemini 3 Pro and Grok 4.1 Fast Reasoning still score higher.

Here's someone else testing models on a daily logic puzzle (Clues by Sam): https://www.nicksypteras.com/blog/cbs-benchmark.html GPT 5 Pro was the winner already before in that test.

Re: GPT-5.2

#276

> “a new knowledge cutoff of August 2025” This (and the price increase) points to a new pretrained model under-the-hood. GPT-5.1, in contrast, was allegedly using the same pretraining as GPT-4o.

or maybe 5.1 was an older checkpoint and has more quantization

Re: GPT-5.2

#277
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 think Grok's voice chat is almost there - only things missing for me: * it's slower to start-up by a couple of seconds * it's harder to switch between voice and text and back again in the same chat (though ChatGPT isn't perfect at this either)

And of course Grok's unhinged persona is... something else.

Re: GPT-5.2

#278
post #65

Earlier quoted context omitted.

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.

Claude’s voice chat isn’t “native” though, is it? It feels like it’s speech-to-text-to-LLM and back.

I just asked it and it said that it uses the on device TTS capabilities.

Re: GPT-5.2

#280
post #262

In other news, been using Devstral 2 (Ollama) with OpenCode, and while it's not as good as Claude Code, my initial sense it that it's nonetheless good enough and doesn't require me to send my data off my laptop. I kind of wonder how close we are to alternative (not from a major AI lab) models being good enough for a lot of productive work and data sovereignty being the deciding factor.

Wait, isn't Devstral2 (normal not small) 123b? What type of laptop do you have? MacBooks don't go over 128GiB

I'm using small - works well for its size
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