721–730 of 1001 posts
Wow, there's a lot going on with this pelican riding a bicycle: https://gist.github.com/simonw/c31d7afc95fe6b40506a9562b5e83...
The variance is way too high for this test to have any value at all. I ran it 10 times, and each pelican on a bicycle was a better rendition than that, about half of them you could say were perfect.
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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.
This link doesn't have Gemini 3 performance on it. Do you have an updated link with the new models?
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It really depends on the complexity of code. I've found models (codex-5.1-max, opus 4.5) to be absolutely useless writing shaders or ML training code, but really good at basic web development.
Interesting, I've been using Claude Max with UE5 and while it isn't _brilliant_ with shaders I can usually get it to where I want. Also had a bit of success with converting HLSL shaders to GLSL with it.
> While GPT‑5.2 will work well out of the box in Codex, we expect to release a version of GPT‑5.2 optimized for Codex in the coming weeks. https://openai.com/index/introducing-gpt-5-2/
I suppose this is as good a place as any to mention this. I've now met two different devs who complained about the weird responses from their LLM of choice, and it turned out they were using a single session for everything. From recipes for the night, presents for the wife and then into programming issues the next day. Don't do that. The whole context is sent on queries to the LLM, so start a new chat for each topic.…
I feel there is a point when all these benchmarks are meaningless. What I care about beyond decent performance is the user experience. There I have grudges with every single platform and the one thing keeping me as a paid ChatGPT subscriber is the ability to sort chats in "projects" with associated files (hello Google, please wake up to basic user-friendly organisation!) But all of them * Lie far too often with confi…
The latest of the big three... OpenAI, Claude, and Google, none of their models are good. I've spent too much time monitoring them than just enjoying them. I've found it easier to run my own local LLM. The latest Gemini release, I gave it another go but only for it to misspell words and drift off into a fantasy world after a few chats with help restructuring guides. ChatGPT has become lazy for some reason and changes…
I suppose this is as good a place as any to mention this. I've now met two different devs who complained about the weird responses from their LLM of choice, and it turned out they were using a single session for everything. From recipes for the night, presents for the wife and then into programming issues the next day. Don't do that. The whole context is sent on queries to the LLM, so start a new chat for each topic.…
In my recent explorations [1] I noticed it got really stuck on the first thing I said in the chat, obsessively returning to it as a lens through which every new message had to be interpreted. Starting new sessions was very useful to get a fresh perspective. Like a human, an AI that works on a writing piece with you is too close to the work to see any flaw. [1] https://renormalize.substack.com/p/on-renormalization
Looks like they've begun censoring posts at r/Codex and not allowing complaint threads so here is my honest take: - It is faster which is appreciated but not as fast as Opus 4.5 - I see no changes, very little noticeable improvements over 5.1 - I do not see any value in exchange for +40% in token costs All in all I can't help but feel that OpenAI is facing an existential crisis. Gemini 3 even when its used from AI St…
Did you notice much improvement going from Gemini 2.5 to 3? I didn't I just think they're all struggling to provide real world improvements
(I only access these models via API)
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…
Sonnet/Opus 4.5 is faster, generally feels like a better coder, and make much prettier TUI/FEs, but in my experience, for anything tough any time it tells you it understands now, it really doesn't...
Gemini 3 Pro is unusable - I've found the same thing, opinionated in the worst way, unreliable, doesn't respect my AGENTS.md and for my real world problems, I don't think it's actually solved anything that I can't get through w/ GPT (although I'll say that I wasn't impressed w/ Max, hopefully 5.2 xhigh improves things). I've heard it can do some magic from colleagues working on FE, but I'll just have to take their word for it.