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Gemini 2.5 Deep Think

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Re: Gemini 2.5 Deep Think

#161

Post by Kon5ole »

klabb3 wrote: post #152
twobitshifter wrote: post #93

Earlier quoted context omitted.

our minds are incredibly energy efficient, that leads me to believe it is possible to figure out, but it might be a human rather than an AI that gives us something more akin to a biological solution.

This could fix my main gripe with The Matrix. ”Humans are used as batteries” always felt off, but it totally would make sense if the human brains have uniquely energy efficient pattern matching abilities that an emerging AI organism would harvest. That would also strengthen the spiritual humanist subtext.

That bugged me too! I decided that they actually meant "source of creativity" which made more sense.

Re: Gemini 2.5 Deep Think

#162

Post by srameshc »

I've been using Gemini 2.5 Pro for a few months now and have found my experience to be very positive. I primarily use it for coding and through the API, and I feel it's consistently improving. I haven't yet tried Deep Think, though.

Re: Gemini 2.5 Deep Think

#164

Post by danenania »

danielbln wrote: post #156
danenania wrote: post #144

Earlier quoted context omitted.

> One output token with a million input tokens is incredibly cheap for providers Source? Afaik this is incorrect.

Chevk out any LLM API providers pricing. Output tokens are always significantly more expensive than input (which can also be cached).

Input tokens usually dominate output tokens by a lot more than 2x though. It’s often 10x or more input. It can even easily be 100x or more. Again in realistic workflows.

Caching does help the situation, but you always at least pay the initial cache write. And prompts need to be structured carefully to be cacheable. It’s not a free lunch.

Re: Gemini 2.5 Deep Think

#165

Post by int_19h »

andsoitis wrote: post #38
foundry27 wrote: post #34

I started doing some experimentation with this new Deep Think agent, and after five prompts I reached my daily usage limit. For $250 USD/mo that’s what you’ll be getting folks. It’s just bizarrely uncompetitive with o3-pro and Grok 4 Heavy. Anecdotally (from my experience) this was the one feature that enthusiasts in the AI community were interested in to justify the exorbitant price of Google’s Ultra subscription. I…

it turns out that AI at this level is very expensive to run (capex, energy). my bet is that AI itself won't figure out how to overcome these constraints and reach escape velocity.

Perhaps this will be the incentive to finally get fusion working. Big tech megacorps are flush with cash and could fund this research many times over at current rates. E.g. NIF is several billion dollars; Google alone has almost $100B in the bank.

Re: Gemini 2.5 Deep Think

#166

Post by [deleted] »

MaxikCZ wrote: post #150
epa wrote: post #146

Earlier quoted context omitted.

Unfortunately we are still in the prompt optimization stage, garbage in garbage out

I hear this repeated so many times I feel like its a narrative pushed by the sellers. Year ago you could ask for glass of wine filled to the brim and you just wouldnt get it. It wasnt garbage in, garbage out, it was sensibility in, garbage out. The line where chatbots stop being sensible and start outputting garbage is in movement, but slower than avg joe would guess. You only notice it when you get an intuition of t…

[deleted]

Re: Gemini 2.5 Deep Think

#168

Post by int_19h »

baggachipz wrote: post #28
serialNumber wrote: post #25

Earlier quoted context omitted.

I’m never the one to defend AI, but what do you mean? Is it the “AI overview” that pops up on Google? Other than that, I would say Gemini is definitely less in your face than ChatGPT for example

My company uses google workspace and every google doc, spreadsheet, calendar, online meeting and search puts nonstop callouts and messages about using Gemini. It's gotten so bad that I'm about to try building a browser extension to block that bullshit. It clutters the UI and nags. If I wanted that crap, I'd turn it on.

I also find those "please please please try me!" popups annoying, but at least Google Workspace is one product where deep AI integration actually makes sense. I like the ability to quickly get summaries or edit documents by telling it what needs to be done in generic terms.

Re: Gemini 2.5 Deep Think

#169

Post by JyB »

bitshiftfaced wrote: post #112
highfrequency wrote: post #3

Approach is analogous to Grok 4 Heavy: use multiple "reasoning" agents in parallel and then compare answers before coming back with a single response, taking ~30 minutes. Great results, though it would be more fair for the benchmark comparisons to be against Grok 4 Heavy rather than Grok 4 (the fast, single-agent model).

What makes you sure of that? From the article, > Deep Think pushes the frontier of thinking capabilities by using parallel thinking techniques. This approach lets Gemini generate many ideas at once and consider them simultaneously, even revising or combining different ideas over time, before arriving at the best answer. This doesn't exclude the possibility of using multiple agents in parallel, but to me it doesn't ne…

How can it not be exactly what’s happening?

Re: Gemini 2.5 Deep Think

#170

Post by redox99 »

danenania wrote: post #142
redox99 wrote: post #127

Earlier quoted context omitted.

That's usually not the case for thinking models. And usually hard problems have a very short prompt.

For me personally (using mostly for coding and project planning) it's nearly always the case, including with thinking models. I'm usually pasting in a bunch of files, screenshots, etc., and having long conversations. Input nearly always heavily dominates output. I don't disagree that there are hard problems which use short prompts, like math homework problems etc., but they mostly aren't what I would categorize as "r…

Yeah coding is definitely a situation where context is usually very very large. But at the same time in those situations something like Sonnet is fine.
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