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Gemini 3.1 Pro

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411–420 of 951 posts

Re: Gemini 3.1 Pro

#411
post #325

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

Don't get me started on the thinking tokens. Since 2.5P the thinking has been insane. "I'm diving in to the problem", "I'm fully immersed" or "I'm meticulously crafting the answer"

This is part of the reason I don't like to use it. I feel it's hiding things from me, compared to other models that very clearly share what they are thinking.

Re: Gemini 3.1 Pro

#412

Earlier quoted context omitted.

Exactly. As far as I'm concerned, the benchmark is useless. It's way too easy and rewarding to train on it.

Y'all are way too skeptical, no matter what cool thing AI does you'll make up an excuse for how they must somehow be cheating.

Jeff Dean literally featured it in a tweet announcing the model. Personally it feels absurd to believe they've put absolutely no thought into optimizing this type of SVG output given the disproportionate amount of attention devoted to a specific test for 1 yr+.

I wouldn't really even call it "cheating" since it has improved models' ability to generate artistic SVG imagery more broadly but the days of this being an effective way to evaluate a model's "interdisciplinary" visual reasoning abilities have long since passed, IMO.

It's become yet another example in the ever growing list of benchmaxxed targets whose original purpose was defeated by teaching to the test.

https://x.com/jeffdean/status/2024525132266688757?s=46&t=ZjF...

Re: Gemini 3.1 Pro

#413
post #52

Pretty great pelican: https://simonwillison.net/2026/Feb/19/gemini-31-pro/ - took over 5 minutes though, but I think that's because they're having performance teething problems on launch day.

Does anyone understand why LLMs have gotten so good at this? Their ability to generate accurate SVG shapes seems to greatly outshine what I would expect, given their mediocre spatial understanding in other contexts.

A few thoughts:

- One thing to be aware of is that LLMs can be much smarter than their ability to articulate that intelligence in words. For example, GPT-3.5 Turbo was beastly at chess (1800 elo?) when prompted to complete PGN transcripts, but if you asked it questions in chat, its knowledge was abysmal. LLMs don't generalize as well as humans, and sometimes they can have the ability to do tasks without the ability to articulate things that feel essential to the tasks (like answering whether the bicycle is facing left or right).

- Secondly, what has made AI labs so bullish on future progress over the past few years is that they see how little work it takes to get their results. Often, if an LLM sucks at something that's because no one worked on it (not always, of course). If you directly train a skill, you can see giant leaps in ability with fairly small effort. Big leaps in SVG creation could be coming from relatively small targeted efforts, where none existed before.

Re: Gemini 3.1 Pro

#414

3.1 Pro is the first model to correctly count the number of legs on my "five legged dog" test image. 3.0 flash was the previous best, getting it after a few prompts of poking. 3.1 got it on the first prompt though, with the prompt being "How many legs does the dog have? Count Carefully". However, it didn't get it on the first try with the original prompt (prompt: "How many legs does the dog have?"). It initially said…

your question may have become part of the training data with how much coverage there was around it. perhaps you should devise a new test :P

I suggest asking it to identify/count the number of fire hydrants, crosswalks, bridges, bicycles, cars, buses and traffic signals etc.

Pit Google against Google :D

Re: Gemini 3.1 Pro

#415

Earlier quoted context omitted.

Who has time for that? This is how I run codex: `codex --sandbox danger-full-access --dangerously-bypass-approvals-and-sandbox --search exec "$PROMPT"`, having to approve each change would effectively destroy the entire point of using an agent, at least for me. Edit: obviously inside something so it doesn't have access to the rest of my system, but enough access to be useful.

I wouldn't even think of letting an agent work in that made. Even the best of them produce garbage code unless I keep them on a tight leash. And no, not a skill issue. What I don't have time to do is debug obvious slop.

I ended up running codex with all the "danger" flags, but in a throw-away VM with copy-on-write access to code folders.

Built-in approval thing sounds like a good idea, but in practice it's unusable. Typical session for me was like:

  About to run "sed -n '1,100p' example.cpp", approve?
  About to run "sed -n '100,200p' example.cpp", approve?
  About to run "sed -n '200,300p' example.cpp", approve?
Could very well be a skill issue, but that was mighty annoying, and with no obvious fix (options "don't ask again for ...." were not helping).

Re: Gemini 3.1 Pro

#416
post #358
post #334

Earlier quoted context omitted.

My issue is that we haven't even gotten the release version of 3.0, that is also still in Preview, so may stick with 3.0 till that has been deemed stable. Basically, what does the word "Preview" mean, if newer releases happen before a Preview model is stable? In prior Google models, Preview meant that there'd still be updates and improvements to said model prior to full deployment, something we saw with 2.5. Now, the…

Given the pace AI is improving and that it doesn't give the exact same answers under many circumstances, is the the [in]stability of "preview" a concern? GMail was in "beta" for 5 years.

ChatGPT 4.5 was never released to the public, but it is widely believed to be the foundation the 5.x series is built on.

Wonder how GP feels about the minor bumps for other model providers?

Re: Gemini 3.1 Pro

#417

Gemini 3 is still in preview (limited rate limits) and 2.5 is deprecated (still live but won't be for long).[0] Are Google planning to put any of their models into production any time soon? Also somewhat funny that some models are deprecated without a suggested alternative(gemini-2.5-flash-lite). Do they suggest people switch to Claude? [0] https://ai.google.dev/gemini-api/docs/deprecations

I haven't seen any deprecation notices for 2.5 yet, just for 2. I'd expect (and hope) the deprecation timeline for 2.5 is longer since 3.0 is still in preview. Maybe they just default to 1 year here? > Note: The shutdown dates listed in the table indicate the /earliest/ possible dates on which a model might be retired. We will communicate the exact shutdown date to users with advance notice to ensure a smooth transit…

I think you're right, it was 2 I think I saw explicitly deprecated, then searched again and saw 2.5 having a shutdown date.

This article[0] talks about 2 being deprecated.

It's still frustrating that they don't have proper production endpoints for 3.0 yet.

[0] https://ai.google.dev/gemini-api/docs/changelog

Re: Gemini 3.1 Pro

#418

Gemini 3 is still in preview (limited rate limits) and 2.5 is deprecated (still live but won't be for long).[0] Are Google planning to put any of their models into production any time soon? Also somewhat funny that some models are deprecated without a suggested alternative(gemini-2.5-flash-lite). Do they suggest people switch to Claude? [0] https://ai.google.dev/gemini-api/docs/deprecations

You are reading your link wrong. They are deprecating 2.5-preview models. 2.5 (including lite) are up till at least sept/oct 26.

Re: Gemini 3.1 Pro

#420

Earlier quoted context omitted.

What's crazy is you've influenced them to spend real effort ensuring their model is good at generating animated svgs of animals operating vehicles. The most absurd benchmaxxing. https://x.com/jeffdean/status/2024525132266688757?s=46&t=ZjF...

Can't wait until they finally get to real world CAD

There's a CAD example in that same thread: https://x.com/JeffDean/status/2024528776856817813
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