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OpenAI o3 and o4-mini

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Re: OpenAI o3 and o4-mini

#414
post #298

Ok, I’m a bit underwhelmed. I’ve asked it a fairly technical question, about a very niche topic (Final Fantasy VII reverse engineering): https://chatgpt.com/share/68001766-92c8-8004-908f-fb185b7549... With right knowledge and web searches one can answer this question in a matter of minutes at most. The model fumbled around modding forums and other sites and did manage to find some good information but then started to…

Underwhelmed compared with Gemini 2.5 Pro--however it would've been impressive a month ago I think.

Re: OpenAI o3 and o4-mini

#415
post #397

Earlier quoted context omitted.

Gemini 2.5 Pro for every single task was the meta until this release. Will have to reassess now.

Mad tangent, but as an old timey MtG player it’s always jarring when someone uses “the meta” not to refer to the particular dynamics of their competitive ecosystem but to a single strategy within it. Impoverishes the concept, I feel, even in this case where I don’t actually think a single model is best at everything.

I'm a World of Warcraft & Dota 2 player, using "the meta" in that way is pretty common in gaming these days I think. The "meta" is still the 'metagame' in the competitive ecosystem sense, but it also refers to strategies that are considered flavor of the month (FOTM) or just generally safe bets.

So there's "the meta", and there's "that strategy is meta", or "that strategy is the meta."

Re: OpenAI o3 and o4-mini

#416

Earlier quoted context omitted.

I've used AI with "niche" programming questions and it's always a total let down. I truly don't understand this "vibe coding" movement unless everyone is building todo apps.

It's incredible when I ask Claude 3.7 a question about Typescript/Python and it can generate hundreds of lines of code that are pretty on point (it's usually not exactly correct on first prompt, but it's coherent). I've recently been asking questions about Dafny and Lean -- it's frustrating that it will completely make up syntax and features that don't exist, but still speak to me with the same confidence as when it'…

Don't need to ho that esoteric. Seen them make stuff up pretty often for more common functional programming languages like Haskell and OCaml.

Re: OpenAI o3 and o4-mini

#417
post #63

Very impressive! But under arguably the most important benchmark -- SWE-bench verified for real-world coding tasks -- Claude 3.7 still remains the champion.[1] Incredible how resilient Claude models have been for best-in-coding class. [1] But by only about 1%, and inclusive of Claude's "custom scaffold" augmentation (which in practice I assume almost no one uses?). The new OpenAI models might still be effectively bes…

Gemini 2.5 Pro is widely considered superior to 3.7 Sonnet now by heavy users, but they don't have an SWE-bench score. Shows that looking at one such benchmark isn't very telling. Main advantage over Sonnet being that it's better at using a large amount of context, which is enormously helpful during coding tasks. Sonnet is still an incredibly impressive model as it held the crown for 6 months, which may as well be a…

2.5 Pro is very buggy with cursor. It often stops before generating any code. It's likely a cursor problem, but I use 3.7 because of that.

Re: OpenAI o3 and o4-mini

#418
post #298

Ok, I’m a bit underwhelmed. I’ve asked it a fairly technical question, about a very niche topic (Final Fantasy VII reverse engineering): https://chatgpt.com/share/68001766-92c8-8004-908f-fb185b7549... With right knowledge and web searches one can answer this question in a matter of minutes at most. The model fumbled around modding forums and other sites and did manage to find some good information but then started to…

I've used AI with "niche" programming questions and it's always a total let down. I truly don't understand this "vibe coding" movement unless everyone is building todo apps.

I mean, I don't think you need to do cutting edge programming to make something personal to you. See here from Canva's product. Check this out: https://youtu.be/LupwvXsOQqs?t=2366

Re: OpenAI o3 and o4-mini

#419
post #298

Ok, I’m a bit underwhelmed. I’ve asked it a fairly technical question, about a very niche topic (Final Fantasy VII reverse engineering): https://chatgpt.com/share/68001766-92c8-8004-908f-fb185b7549... With right knowledge and web searches one can answer this question in a matter of minutes at most. The model fumbled around modding forums and other sites and did manage to find some good information but then started to…

I've used AI with "niche" programming questions and it's always a total let down. I truly don't understand this "vibe coding" movement unless everyone is building todo apps.

There's a bit of a skill to it.

Good architecture plans help. Telling it where in an existing code base it can find things to pattern match against is also fantastic.

I'll often end up with a task that looks something like this:

* Implement Foo with a relation to FooBar.

* Foo should have X, Y, Z features

* We have an existing pattern for Fidget in BigFidget. Look at that for implementation

* Make sure you account for A, B, C. Check Widget for something similar.

It works surprisingly well.

Re: OpenAI o3 and o4-mini

#420
At this point, it's like comparing the iPhone 5s vs the iPhone 6. The upgrades are still noticeable, but it's nowhere the huge jump between GPT 3.5 and GPT 4.
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