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Gemini 3.1 Pro

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Re: Gemini 3.1 Pro

#281
post #16
post #10

Gemini 3 seems to have a much smaller token output limit than 2.5. I used to use Gemini to restructure essays into an LLM-style format to improve readability, but the Gemini 3 release was a huge step back for that particular use case. Even when the model is explicitly instructed to pause due to insufficient tokens rather than generating an incomplete response, it still truncates the source text too aggressively, losi…

> Even when the model is explicitly instructed to pause due to insufficient tokens Is there actually a chance it has the introspection to do anything with this request?

No, the model doesn't have purview into this afaik

I'm not even sure what "pausing" means in this context and why it would help when there are insufficient tokens. They should just stop when you reach the limit, default or manually specified, but it's typically a cutoff.

You can see what happens by setting output token limit much lower

Re: Gemini 3.1 Pro

#282

Earlier quoted context omitted.

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

My job may have become part of the training data with how much coverage there is around it. Perhaps another career would be a better test of LLM capabilities.

Have you ever heard of a black swan?

Re: Gemini 3.1 Pro

#283

It got the car wash question perfectly: You are definitely going to have to drive it there—unless you want to put it in neutral and push! While 200 feet is a very short and easy walk, if you walk over there without your car, you won't have anything to wash once you arrive. The car needs to make the trip with you so it can get the soap and water. Since it's basically right next door, it'll be the shortest drive of you…

The question of course is, did it get the car wash question right because it is "the car wash question" or because it could actually infer why the car needed to be there?

Re: Gemini 3.1 Pro

#284

Earlier quoted context omitted.

One underrated thing about the recent frontier models, IMO, is that they are obviating the need for image gen as a standalone thing. Opus 4.6 (and apparently 3.1 Pro as well) doesn't have the ability to generate images but it is so good at making SVG that it basically doesn't matter at this point. And the benefit of SVG is that it can be animated and interactive. I find this fascinating because it literally just happ…

> doesn't have the ability to generate images but it is so good at making SVG that it basically doesn't matter at this point Yeah, since the invention of vector images, suddenly no one cares about raster images anymore. Obviously not true, but that's how your comment reads right now. "Image" is very different from "Image", and one doesn't automagically replace the other.

This reminds me of the time I printed a poster with a blown up version of some image for a high school history project. A classmate asked how I did it, so I started going on about how I used software to vectorize the image. Turned out he didn't care about any of that and just wanted the name of the print shop.

Re: Gemini 3.1 Pro

#285
post #262

I've been playing with the 3.1 Deep Think version of this for the last couple of weeks and it was a big step up for coding over 3.0 (which I already found very good). It's only February...

> I've been playing with the 3.1 Deep Think version of this How?

A select few have had early access through various programs Google offers. I believe there was a sentence or two to this effect on the Gemini 3 Deep Think post from Deepmind.

Re: Gemini 3.1 Pro

#286
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.

At this point, the pelican benchmark became so widely used that there must be high quality pelicans in the dataset, I presume. What about generating an okapi on a bicycle instead?

Or, even more challenging, an okapi on a recumbent ?!

Re: Gemini 3.1 Pro

#287
post #17

Has anyone noticed that models are dropping ever faster, with pressure on companies to make incremental releases to claim the pole position, yet making strides on benchmarks? This is what recursive self-improvement with human support looks like.

and anyone notice that the pace has broken xAI and they were just dropped behind? The frontier improvement release loop is now ant -> openai -> google

Re: Gemini 3.1 Pro

#288

Earlier quoted context omitted.

It's an excellent demonstration of the main issue I have with the Gemini family of models, they always go "above and beyond" to do a lot of stuff, even if I explicitly prompt against it. In this case, most of the SVG ends up consisting not just of a bike and a pelican, but clouds, a sun, a hat on the pelican and so much more. Exactly the same thing happens when you code, it's almost impossible to get Gemini to not do…

> it's almost impossible to get Gemini to not do "helpful" drive-by-refactors Just asking "Explain what this service does?" turns into [No response for three minutes...] +729 -522

[dead]

Re: Gemini 3.1 Pro

#289

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…

Hmm, interesting..

My workflow is to basically use it to explain new concepts, generate code snippets inline or fill out function bodies, etc. Not really generating code autonomously in a loop. Do you think it would excel at this?

Re: Gemini 3.1 Pro

#290

Earlier quoted context omitted.

Less pretty and more practical, it's really good at outputting circuit designs as SVG schematics. https://www.svgviewer.dev/s/dEdbH8Sw

I don't know what of this is the prompt and what was the output, but that's a pretty bad schematic (for both aesthetic and circuit-design reasons).

The prompts were doing the design, reference voltage, hysteresis, output stage, all the maths and then the SVG is from asking the model to take all that and the current BOM to make an SVG schematic of it. In the past models would just output totally incoherent messes of lines and shapes.

I did a larger circuit too that this is part of, but it's not really for sharing online.

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