o3 is so far ahead of antrhopic and google, these models arent even worth using
The benchmarks (1) seem to suggest that o3 is in 3rd place after Gemini 2.5 pro preview and Gemini 2.5 pro exp (for text reasoning, o3 4th for webdev). o3 doesn't even appear on the openrouter leaderboards (2) suggesting is hardly used (if at all) by anyone using LLMs do actually do anything (such as coding) which makes one question if it is actually any good at all (otherwise if it was so great I'd expect to see hea…
Gemini 2.5 Pro Preview
341–350 of 728 posts
Re: Gemini 2.5 Pro Preview
#342My frustration with using these models for programming in the past has largely been around their tendency to hallucinate APIs that simply don't exist. The Gemini 2.5 models, both pro and flash, seem significantly less susceptible to this than any other model I've tried. There are still significant limitations, no amount of prompting will get current models to approach abstraction and architecture the way a person doe…
> no amount of prompting will get current models to approach abstraction and architecture the way a person does I find this sentiment increasingly worrisome. It's entirely clear that every last human will be beaten on code design in the upcoming years (I am not going to argue if it's 1 or 5 years away, who cares?) I wished people would just stop holding on to what amounts to nothing, and think and talk more about wha…
* "it's too hard!"
* "my coworkers will just ruin it"
* "startups need to pursue PMF, not architecture"
* "good design doesn't get you promoted"
And now we have "AI will do it better soon."
None of those are entirely wrong. They're not entirely correct, either.
Re: Gemini 2.5 Pro Preview
#343Earlier quoted context omitted.
> no amount of prompting will get current models to approach abstraction and architecture the way a person does I find this sentiment increasingly worrisome. It's entirely clear that every last human will be beaten on code design in the upcoming years (I am not going to argue if it's 1 or 5 years away, who cares?) I wished people would just stop holding on to what amounts to nothing, and think and talk more about wha…
I'm confused by your comment. It seems like you didn't really provide a retort to the parent's comment about bad architecture and abstraction from LLMs. FWIW, I think you're probably right that we need to adapt, but there was no explanation as to _why_ you believe that that's the case.
Re: Gemini 2.5 Pro Preview
#344I use Gemini for almost everything. But their model card[1] only compares to o3-mini! In known benchmarks o3 is still ahead: +------------------------------+---------+--------------+ | Benchmark | o3 | Gemini 2.5 | | | | Pro | +------------------------------+---------+--------------+ | ARC-AGI (High Compute) | 87.5% | — | | GPQA Diamond (Science) | 87.7% | 84.0% | | AIME 2024 (Math) | 96.7% | 92.0% | | SWE-bench Veri…
Re: Gemini 2.5 Pro Preview
#345Earlier quoted context omitted.
I expect my calculator to be 100% accurate 100% of the time. I have slightly more tolerance for other software having defects, but not much more.
AIs aren't intended to be used as calculators though? You could say that when I use my spanner/wrench to tighten a nut it works 100% of the time, but as soon as I try to use a screwdriver it's terrible and full of problems and it can't even reliably so something as trivially easy as tighten a nut, even though a screwdriver works the same way by using torque to tighten a fastener. Well that's because one tool is desig…
"AI"s are designed to be reliable; "AGI"s are designed to be intelligent; "LLM"s seem to be designed to make some qualities emerge.
> one tool is designed for one thing, and one is designed for another
The design of LLMs seems to be "let us see where the promise leads us". That is not really "design", i.e. "from need to solution".
Re: Gemini 2.5 Pro Preview
#346> Gemini 2.5 Pro now ranks #1 on the WebDev Arena leaderboard It'd make sense to rename WebDev Arena to React/Tailwind Arena. Its system prompt requires [1] those technologies and the entire tool breaks when requesting vanilla JS or other frameworks. The second-order implications of models competing on this narrow definition of webdev are rather troublesome. [1] https://blog.lmarena.ai/blog/2025/webdev-arena/#:~:text…
Re: Gemini 2.5 Pro Preview
#347> Gemini 2.5 Pro now ranks #1 on the WebDev Arena leaderboard It'd make sense to rename WebDev Arena to React/Tailwind Arena. Its system prompt requires [1] those technologies and the entire tool breaks when requesting vanilla JS or other frameworks. The second-order implications of models competing on this narrow definition of webdev are rather troublesome. [1] https://blog.lmarena.ai/blog/2025/webdev-arena/#:~:text…
Re: Gemini 2.5 Pro Preview
#348The "video to learning app" feature is a cool concept (see it in AI Studio). I just passed in two separate Stanford lectures to see if it could come up with an interesting interactive app. The apps it generated weren't too useful, but I can see with more focus and development, it'd be a game changer for education.
Re: Gemini 2.5 Pro Preview
#349Earlier quoted context omitted.
I recently needed to recommend some IAM permissions for an assistant on a hobby project; not complete access but just enough to do what was required. Was rusty with the console and didn't have direct access to it at the time, but figured it was a solid use case for LLMs since AWS is so ubiquitous and well-documented. I actually queried 4o, 3.7 Sonnet, and Gemini 2.5 for recommendations, stripped the list of duplicate…
AWS docs have (had) an embedded AI model that would do this perfectly. I suppose it had better training data, and the actual spec as a RAG.
Re: Gemini 2.5 Pro Preview
#350Earlier quoted context omitted.
The opposite problem is also true. I was using it to edit code I had that was calling the new openai image API, which is slightly different from the dalle API. But Gemini was consistently "fixing" the OpenAI call even when I explained clearly not to do that since I'm using a new API design etc. Claude wasn't having that issue. The models are very impressive. But issues like these still make me feel they are still mor…
They are definitely pattern matching. Like, that's how we train them, and no matter how many layers of post training you add, you won't get too far from next token prediction. And that's fine and useful.
And crippled, incomplete, and deceiving, dangerous.