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Gemini 3 Deep Think

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Re: Gemini 3 Deep Think

#131

Post by casey2 »

hmmmmmmmmmmmmmm wrote: post #121
saberience wrote: post #77

Earlier quoted context omitted.

My two elderly parents cannot solve Arc-AGI puzzles, but can manage to navigate the physical world, their house, garden, make meals, clean the house, use the TV, etc. I would say they do have "general intelligence", so whatever Arc-AGI is "solving" it's definitely not "AGI"

You are confusing fluid intelligence with crystallised intelligence.

I think you are making that confusion. Any robotic system in the place of his parents would fail with a few hours.

There are more novel tasks in a day than ARC provides.

Re: Gemini 3 Deep Think

#132

Post by naasking »

xnx wrote: post #15

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

Google is still behind the largest models I'd say, in real world utility. Gemini 3 Pro still has many issues.

Re: Gemini 3 Deep Think

#133

Post by jetter »

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 "screenshot-vibe-coding" workflow where you draw arrows on 3d model snapshot to explain to LLM what is wrong with the geometry. Without human in the loop, all top tier LLMs hallucinate at debugging 3d geometry in agentic mode - and fail spectacularly.

Re: Gemini 3 Deep Think

#134

Post by suddenlybananas »

simonw wrote: post #52
Manabu-eo wrote: post #41

Earlier quoted context omitted.

How likely this problem is already on the training set by now?

If anyone trains a model on https://simonwillison.net/tags/pelican-riding-a-bicycle/ they're going to get some VERY weird looking pelicans.

Why would they train on that? Why not just hire someone to make a few examples.

Re: Gemini 3 Deep Think

#135

Post by alexpotato »

Razengan wrote: post #103
xnx wrote: post #15

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

Gemini's UX (and of course privacy cred as with anything Google) is the worst of all the AI apps. In the eyes of the Common Man, it's UI that will win out, and ChatGPT's is still the best.

> Gemini's UX ... is the worst of all the AI apps

Been using Gemini + OpenCode for the past couple weeks.

Suddenly, I get a "you need a Gemini Access Code license" error but when you go to the project page there is no mention of this or how to get the license.

You really feel the "We're the phone company and we don't care. Why? Because we don't have to." [0] when you use these Google products.

PS for those that don't get the reference: US phone companies in the 1970s had a monopoly on local and long distance phone service. Similar to Google for search/ads (really a "near" monopoly but close enough).

0 - https://vimeo.com/355556831

Re: Gemini 3 Deep Think

#137

Post by jeffbee »

dperhar wrote: post #88

Does anyone actually use Gemini 3 now? I cant stand its sleek salesy way of introduction, and it doesnt hold to instructions hard – makes it unapplicable for MECE breakdowns or for writing.

It indeed departs from instructions pretty regularly. But I find it very useful and for the price it beats the world.

"The price" is the marginal price I am paying on top of my existing Google 1, YouTube Premium, and Google Fi subs, so basically nothing on the margin.

Re: Gemini 3 Deep Think

#138

Post by onlyrealcuzzo »

aeyes wrote: post #53
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...

https://arcprize.org/leaderboard $13.62 per task - so we need another 5-10 years for the price to run this to become reasonable? But the real question is if they just fit the model to the benchmark.

Why 5-10 years?

At current rates, price per equivalent output is dropping at 99.9% over 5 years.

That's basically $0.01 in 5 years.

Does it really need to be that cheap to be worth it?

Keep in mind, $0.01 in 5 years is worth less than $0.01 today.

Re: Gemini 3 Deep Think

#139

Post by IhateAI »

bpodgursky wrote: post #120
logicprog wrote: post #105

Is it me or is the rate of model release is accelerating to an absurd degree? Today we have Gemini 3 Deep Think and GPT 5.3 Codex Spark. Yesterday we had GLM5 and MiniMax M2.5. Five days before that we had Opus 4.6 and GPT 5.3. Then maybe two weeks I think before that we had Kimi K2.5.

Anthropic took the day off to do a $30B raise at a $380B valuation.

Most ridiculous valuation in the history of markets. Cant wait to watch these compsnies crash snd burn when people give up on the slot machine.

Re: Gemini 3 Deep Think

#140

Post by xnx »

jonathanstrange wrote: post #107
Razengan wrote: post #103

Earlier quoted context omitted.

Gemini's UX (and of course privacy cred as with anything Google) is the worst of all the AI apps. In the eyes of the Common Man, it's UI that will win out, and ChatGPT's is still the best.

You mean AI Studio or something like that, right? Because I can't see a problem with Google's standard chat interface. All other AI offerings are confusing both regarding their intended use and their UX, though, I have to concur with that.

AI Studio is also significantly improved as of yesterday.
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