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Gemini 3 Deep Think

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Re: Gemini 3 Deep Think

#101

Post by modeless »

nubg wrote: post #26
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...

Weren't we barely scraping 1-10% on this with state of the art models a year ago and it was considered that this is the final boss, ie solve this and its almost AGI-like? I ask because I cannot distinguish all the benchmarks by heart.

François Chollet, creator of ARC-AGI, has consistently said that solving the benchmark does not mean we have AGI. It has always been meant as a stepping stone to encourage progress in the correct direction rather than as an indicator of reaching the destination. That's why he is working on ARC-AGI-3 (to be released in a few weeks) and ARC-AGI-4.

His definition of reaching AGI, as I understand it, is when it becomes impossible to construct the next version of ARC-AGI because we can no longer find tasks that are feasible for normal humans but unsolved by AI.

Re: Gemini 3 Deep Think

#102

Post by [deleted] »

olalonde wrote: post #93
fishpham wrote: post #32

Earlier quoted context omitted.

Yes, but benchmarks like this are often flawed because leading model labs frequently participate in 'benchmarkmaxxing' - ie improvements on ARC-AGI2 don't necessarily indicate similar improvements in other areas (though it does seem like this is a step function increase in intelligence for the Gemini line of models)

Would be cool to have a benchmark with actually unsolved math and science questions, although I suspect models are still quite a long way from that level.

[deleted]

Re: Gemini 3 Deep Think

#103

Post by Razengan »

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.

Re: Gemini 3 Deep Think

#104

Post by dakolli »

OtomotO wrote: post #95
dakolli wrote: post #74

Earlier quoted context omitted.

Its really weird how you all are begging to be replaced by llms, you think if agentic workflows get good enough you're going to keep your job? Or not have your salary reduced by 50%? If Agents get good enough it's not going to build some profitable startup for you (or whatever people think they're doing with the llm slot machines) because that implies that anyone else with access to that agent can just copy you, its…

[flagged]

Well I honestly think this is the solution. It's much harder to do French Revolution V2 though if they've used ML to perfect people's recommendation algorithms to psyop them into fighting wars on behalf of capitalists.

I imagine llm job automation will make people so poor that they beg to fight in wars, and instead of turning that energy against he people who created the problem they'll be met with hours of psyops that direct that energy to Chinese people or whatever.

We will see.

Re: Gemini 3 Deep Think

#105

Post by logicprog »

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.

Re: Gemini 3 Deep Think

#107

Post by jonathanstrange »

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.

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.

Re: Gemini 3 Deep Think

#108

Post by [deleted] »

layer8 wrote: post #68
fishpham wrote: post #32

Earlier quoted context omitted.

Yes, but benchmarks like this are often flawed because leading model labs frequently participate in 'benchmarkmaxxing' - ie improvements on ARC-AGI2 don't necessarily indicate similar improvements in other areas (though it does seem like this is a step function increase in intelligence for the Gemini line of models)

Isn’t the point of ARC that you can’t train against it? Or doesn’t it achieve that goal anymore somehow?

[deleted]

Re: Gemini 3 Deep Think

#109

Post by mattlondon »

Davidzheng wrote: post #73
siva7 wrote: post #70

I can't shake of the feeling that Googles Deep Think Models are not really different models but just the old ones being run with higher number of parallel subagents, something you can do by yourself with their base model and opencode.

And after i do that, how do i combine the output of 1000 subagents into one output? (Im not being snarky here, i think it's a nontrivial problem)

You just pipe it to another agent to do the reduce step (i.e. fan-in) of the mapreduce (fan-out)

It's agents all the way down.

Re: Gemini 3 Deep Think

#110

Post by rogerkirkness »

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.

Fast takeoff.
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