Gemini 3 Deep Think • Hacker News Board

Re: Gemini 3 Deep Think

#161

Post by causal » Thu, Feb 12, 2026, 7:42 PM UTC

colordrops wrote: post #157

mNovak wrote: post #115

Earlier quoted context omitted.

I'm excited for the big jump in ARC-AGI scores from recent models, but no one should think for a second this is some leap in "general intelligence". I joke to myself that the G in ARC-AGI is "graphical". I think what's held back models on ARC-AGI is their terrible spatial reasoning, and I'm guessing that's what the recent models have cracked. Looking forward to ARC-AGI 3, which focuses on trial and error and explorin…

Wouldn't you deal with spatial reasoning by giving it access to a tool that structures the space in a way it can understand or just is a sub-model that can do spatial reasoning? These "general" models would serve as the frontal cortex while other models do specialized work. What is missing?

That's a bit like saying just give blind people cameras so they can see.

Re: Gemini 3 Deep Think

#162

Post by wiseowise » Thu, Feb 12, 2026, 7:43 PM UTC

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.

No projects, completely forgets context mid dialog, mediocre responses even on thinking, research got kneecapped somehow and is completely uses now, uses propaganda Russian videos as the search material (what’s wrong with you, Google?), janky on mobile, consumes GIGABYTES of RAM on web (seriously, what the fuck?). Left a couple of tabs over night, Mac is almost complete frozen because 10 tabs consumed 8 GBs of RAM doing nothing. It’s a complete joke.

Re: Gemini 3 Deep Think

#163

Post by winstonp » Thu, Feb 12, 2026, 7:44 PM UTC

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…

DeepSeek hasn't been SotA in at least 12 calendar months, which might as well be a decade in LLM years

Re: Gemini 3 Deep Think

#164

Post by nutjob2 » Thu, Feb 12, 2026, 7:45 PM UTC

kenjackson wrote: post #113

xnx wrote: post #15

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

But wait two hours for what OpenAI has! I love the competition and how someone just a few days ago was telling how ARC-AGI-2 was proof that LLMs can't reason. The goalposts will shift again. I feel like most of human endeavor will soon be just about trying to continuously show that AI's don't have AGI.

"AGI" doesn't mean anything concrete, so it's all a bunch of non-sequiturs. Your goalposts don't exist.

Anyone with any sense is interested in how well these tools work and how they can be harnessed, not some imaginary milestone that is not defined and cannot be measured.

Re: Gemini 3 Deep Think

#165

Post by brokencode » Thu, Feb 12, 2026, 7:47 PM UTC

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.

They are using the current models to help develop even smarter models. Each generation of model can help even more for the next generation.

I don’t think it’s hyperbolic to say that we may be only a single digit number of years away from the singularity.

Re: Gemini 3 Deep Think

#166

Post by Razengan » Thu, Feb 12, 2026, 7:48 PM UTC

xnx wrote: post #151

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.

Google privacy cred is ... excellent? The worst data breach I know of them having was a flaw that allowed access to names and emails of 500k users.

They don't even let you have multiple chats if you disable their "App Activity" or whatever (wtf is with that ass naming? they don't even have a "Privacy" section in their settings the last time I checked)

and when I swap back into the Gemini app on my iPhone after a minute or so the chat disappears. and other weird passive-aggressive take-my-toys-away behavior if you don't bare your body and soul to Googlezebub.

ChatGPT and Grok work so much better without accounts or with high privacy settings.

Re: Gemini 3 Deep Think

#167

Post by cachius » Thu, Feb 12, 2026, 7:48 PM UTC

winstonp wrote: post #163

raincole wrote: post #127

Earlier quoted context omitted.

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…

DeepSeek hasn't been SotA in at least 12 calendar months, which might as well be a decade in LLM years

What about Kimi and GLM?

Re: Gemini 3 Deep Think

#168

Post by enraged_camel » Thu, Feb 12, 2026, 7:49 PM UTC

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/

Is there a list of these for each model, that you've catalogued somewhere?

Re: Gemini 3 Deep Think

#169

Post by aliston » Thu, Feb 12, 2026, 7:51 PM UTC

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.

I'm having trouble just keeping track of all these different types of models.

Is "Gemini 3 Deep Think" even technically a model? From what I've gathered, it is built on top of Gemini 3 Pro, and appears to be adding specific thinking capabilities, more akin to adding subagents than a truly new foundational model like Opus 4.6.

Also, I don't understand the comments about Google being behind in agentic workflows. I know that the typical use of, say, Claude Code feels agentic, but also a lot of folks are using separate agent harnesses like OpenClaw anyway. You could just as easily plug Gemini 3 Pro into OpenClaw as you can Opus, right?

Can someone help me understand these distinctions? Very confused, especially regarding the agent terminology. Much appreciated!

Re: Gemini 3 Deep Think

#170

Post by redox99 » Thu, Feb 12, 2026, 7:51 PM UTC

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.

There's more compute now than before.