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Gemini 3 Deep Think

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Re: Gemini 3 Deep Think

#481

Post by venusenvy47 »

jetter wrote: post #133

it is interesting that the video demo is generating .stl model. I run a lot of tests of LLMs generating OpenSCAD code (as I have recently launched https://modelrift.com text-to-CAD AI editor) and Gemini 3 family LLMs are actually giving the best price-to-performance ratio now. But they are very, VERY far from being able to spit out a complex OpenSCAD model in one shot. So, I had to implement a full fledged "screensho…

I was looking for your GitHub, but the link on the homepage is broken: https://github.com/modelrift

Re: Gemini 3 Deep Think

#482

Post by kaveh_h »

rob-wagner wrote: post #297

I’ve been using Gemini 3 Pro on a historical document archiving project for an old club. One of the guys had been working on scanning old handwritten minutes books written in German that were challenging to read (1885 through 1974). Anyways, I was getting decent results on a first pass with 50 page chunks but ended up doing 1 page at a time (accuracy probably 95%). For each page, I submit the page for a transcription…

Have you tried providing multiple pages at a time to the model? It might do better transcription as it have bigger context to work with.

Re: Gemini 3 Deep Think

#483

Post by energy123 »

zozbot234 wrote: post #55
sinuhe69 wrote: post #38

I'm pretty certain that DeepMind (and all other labs) will try their frontier (and even private) models on First Proof [1]. And I wonder how Gemini Deep Think will fare. My guess is that it will get half the way on some problems. But we will have to take an absence as a failure, because nobody wants to publish a negative result, even though it's so important for scientific research. [1] https://1stproof.org/

The 1st proof original solutions are due to be published in about 24h, AIUI.

Feels like an unforced blunder to make the time window so short after going to so much effort and coming up with something so useful.

Re: Gemini 3 Deep Think

#484

Post by jorl17 »

wiseowise wrote: post #158
xnx wrote: post #15

Google is absolutely running away with it. The greatest trick they ever pulled was letting people think they were behind.

Their models might be impressive, but their products absolutely suck donkey balls. I’ve given Gemini web/cli two months and ran away back to ChatGPT. Seriously, it would just COMPLETELY forget context mid dialog. When asked about improving air quality it just gave me a list of (mediocre) air purifiers without asking for any context whatsoever, and I can list thousands of conversations like that. Shopping or comparing…

Antigravity is an embarrassment.

The models feel terrible, somehow, like they're being fed terrible system prompts.

Plus the damn thing kept crashing and asking me to "restart it". What?!

At least Kiro does what it says on the tin.

Re: Gemini 3 Deep Think

#485

Post by Cyphase »

dboreham wrote: post #459
i5heu wrote: post #175

Earlier quoted context omitted.

I think it is because of the Chinese new year. The Chinese labs like to publish their models arround the Chinese new year, and the US labs do not want to let a DeepSeek R1 (20 January 2025) impact event happen again, so i guess they publish models that are more capable then what they imagine Chinese labs are yet capable of producing.

Aren't we saying "lunar new year" now?

I don't think so; there are different lunar calendars.

Re: Gemini 3 Deep Think

#486

Post by red75prime »

Davidzheng wrote: post #479
red75prime wrote: post #401

Earlier quoted context omitted.

> Where are the dumb machines that can be taught? 2026 is going to be the year of continual learning. So, keep an eye out for them.

Yeah i think that's a big missing piece still. Though it might be the last one

Episodic memory might be another piece, although it can be seen as part of continuous learning.

Re: Gemini 3 Deep Think

#487

Post by jasondigitized »

futureshock wrote: post #213
simianwords wrote: post #6

OT but my intuition says that there’s a spectrum - non thinking models - thinking models - best of N models like deep think an gpt pro Each one is of a certain computational complexity. Simplifying a bit, I think they map to - linear, quadratic and n^3 respectively. I think there are certain class of problems that can’t be solved without thinking because it necessarily involves writing in a scratchpad. And same for b…

I think step 4 is the agent swarm. Manager model gets the prompt and spins up a swarm of looping subagents, maybe assigns them different approaches or subtasks, then reviews results, refines the context files and redeploys the swarm on a loop till the problem is solved or your credit card is declined.

So Google Answers is coming back?!?!?!

Re: Gemini 3 Deep Think

#488

Post by toraway »

simonw wrote: post #39

The pelican riding a bicycle is excellent . I think it's the best I've seen. https://simonwillison.net/2026/Feb/12/gemini-3-deep-think/

So, you've said multiple times in the past that you're not concerned about AI labs training for this specific test because if they did, it would be so obviously incongruous that you'd easily spot the manipulation and call them out.

Which tbh has never really sat right with me, seemingly placing way too much confidence in your ability to differentiate organic vs. manipulated output in a way I don't think any human could be expected to.

To me, this example is an extremely neat and professional SVG and so far ahead it almost seems too good to be true. But like with every previous model, you don't seem to have the slightest amount of skepticism in your review. I don't think I truly believe Google cheated here, but it's so good it does therefore make me question whether there could ever be an example of a pelican SVG in the future that actually could trigger your BS detector?

I know you say it's just a fun/dumb benchmark that's not super important, but you're easily in the top 3 most well known AI "influencers" whose opinion/reviews about model releases carry a lot of weight, providing a lot of incentive with trillions of dollars flying around. Are you still not at all concerned by the amount of attention this benchmark receives now/your risk of unwittingly being manipulated?

Re: Gemini 3 Deep Think

#489

Post by WiSaGaN »

raincole wrote: post #127
lukebechtel wrote: post #4

Arc-AGI-2: 84.6% (vs 68.8% for Opus 4.6) Wow. https://blog.google/innovation-and-ai/models-and-research/ge...

Even before this, Gemini 3 has always felt unbelievably 'general' for me. It can beat Balatro (ante 8) with text description of the game alone[0]. Yeah, it's not an extremely difficult goal for humans, but considering: 1. It's an LLM, not something trained to play Balatro specifically 2. Most (probably >99.9%) players can't do that at the first attempt 3. I don't think there are many people who posted their Balatro p…

Yes, agentic-wise, Claude Opus is best. Complex coding is GPT-5.x. But for smartness, I always felt Gemini 3 Pro is best.

Re: Gemini 3 Deep Think

#490

Post by alex1138 »

i_love_retros wrote: post #440
rexpop wrote: post #425

Earlier quoted context omitted.

Israel is not one of the boots. Deplorable as their domestic policy may be, they're not wagging the dog of capitalist imperialism. To imply otherwise is to reveal yourself as biased, warped in a way that keeps you from going after much bigger, and more real systems of political economy holding back our civilization from universal human dignity and opportunity.

Lol what? Not sure if you are defending Israel or google because your communication style is awful. But if you are defending Israel then you're an idiot who is excusing genocide. If you're defending google then you're just a corporate bootlicker who means nothing.

As opposed to Hamas who actually committed the genocide
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