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Gemini 3 Flash: Frontier intelligence built for speed

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Re: Gemini 3 Flash: Frontier intelligence built for speed

#571

Post by qcnguy »

behnamoh wrote: post #353
guelo wrote: post #308

Earlier quoted context omitted.

OpenAI's doom was written when Altman (and Nadella) got greedy, threw away the nonprofit mission, and caused the exodus of talent and funding that created Anthropic. If they had stayed nonprofit the rest of the industry could have consolidated their efforts against Google's juggernaut. I don't understand how they expected to sustain the advantage against Google's infinite money machine. With Waymo Google showed that…

> I don't understand how they expected to sustain the advantage against Google's infinite money machine. I ask this question about Nazi Germany. They adopted the Blitkrieg strategy and expanded unsustainably, but it was only a matter of time until powers with infinite resources (US, USSR) put an end to it.

Lots of plausible alternative histories don't end with the destruction of Nazi Germany. Others already named some, another is if the RAF collapsed during the Battle of Britain and Germany had established air superiority. The Germans would have taken out the Royal Navy and mounted an invasion of Britain soon after; if Britain had fallen there'd have been nowhere for the US to stage D-Day. Hitler could have then diverted all resources to the eastern front and possibly managed to reach Moscow before the winter set in.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#572

Post by dimava »

ggsp wrote: post #523
theshrike79 wrote: post #520

Earlier quoted context omitted.

Everyone should have their own "pelican riding a bicycle" benchmark they test new models on. And it shouldn't be shared publicly so that the models won't learn about it accidentally :)

Any suggestions for a simple tool to set up your own local evals?

Just ask LLM to write one on top of OpenRouter, AI SDK and Bun To take your .md input file and save outputs as md files (or whatever you need) Take https://github.com/T3-Content/auto-draftify as example

Re: Gemini 3 Flash: Frontier intelligence built for speed

#573

Post by kedihacker »

theshrike79 wrote: post #549
ggsp wrote: post #523

Earlier quoted context omitted.

Any suggestions for a simple tool to set up your own local evals?

My "tool" is just prompts saved in a text file that I feed to new models by hand. I haven't built a bespoke framework on top of it. ...yet. Crap, do I need to now? =)

Well you need to stop them from getting incorporated into its training data

Re: Gemini 3 Flash: Frontier intelligence built for speed

#574

Post by [deleted] »

ggsp wrote: post #523
theshrike79 wrote: post #520

Earlier quoted context omitted.

Everyone should have their own "pelican riding a bicycle" benchmark they test new models on. And it shouldn't be shared publicly so that the models won't learn about it accidentally :)

Any suggestions for a simple tool to set up your own local evals?

[deleted]

Re: Gemini 3 Flash: Frontier intelligence built for speed

#575

Post by aswegs8 »

Obertr wrote: post #125

At this point in time I start to believe OAI is very much behind on the models race and it can't be reversed Image model they have released is much worse than nano banana pro, ghibli moment did not happen Their GPT 5.2 is obviously overfit on benchmarks as a consensus of many developers and friends I know. So Opus 4.5 is staying on top when it comes to coding The weight of the ads money from google and general direct…

Not sure why they just not replicate the workflow that nano banana pro uses. It lets the thinking model generate a detailed description and then renders that image. When I use ChatGPT thinking model and render an image I also get pretty good results. It's not as creative or flexible as nano banana pro, but it produces really useful results.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#576

Post by throwaway127482 »

andai wrote: post #569
Tiberium wrote: post #556

Earlier quoted context omitted.

I was talking about Gemini 3 Flash, and you absolutely can disable reasoning, just try sending thinking budget: 0. It's strange that they don't want to mention this, but it works.

Gemini 3 Flash is in the second sentence.

See, this is what happens when you turn off thinking completely.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#577

Post by esperent »

catigula wrote: post #100
simonsarris wrote: post #10

Even before this release the tools (for me: Claude Code and Gemini for other stuff) reached a "good enough" plateau that means any other company is going to have a hard time making me (I think soon most users) want to switch. Unless a new release from a different company has a real paradigm shift, they're simply sufficient. This was not true in 2023/2024 IMO. With this release the "good enough" and "cheap enough" int…

Correct. Opus 4.5 'solved' software engineering. What more do I need? Businesses need uncapped intelligence, and that is a very high bar. Individuals often don't.

> What more do I need?

Much cheaper price and much faster token generation.

At least, that's what I need. I stopped using Anthropic because for their $20 a month offering, I get rate limited constantly, but for Gemini $20/month I've never even once hit a limit.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#579

Post by mark_l_watson »

I only use commercial LLM vendors who I consider to be “commercially viable.” I don’t want to deal with companies who are losing money selling me products.

For now the venders I pay for are 90% Google, and 10% combination of Chinese models and from the French company Mistral.

I love the new Gemini 3 Flash model - it hits so many sweet-spots for me. The API is inexpensive enough for my use cases that I don’t even think about the cost.

My preference is using local open models with Ollama and LM Studio, but commercial models are also a large part of my use cases.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#580

Post by mark_l_watson »

RobinL wrote: post #238

Feels like Google is really pulling ahead of the pack here. A model that is cheap, fast and good, combined with Android and gsuite integration seems like such powerful combination. Presumably a big motivation for them is to be first to get something good and cheap enough they can serve to every Android device, ahead of whatever the OpenAI/Jony Ive hardware project will be, and way ahead of Apple Intelligence. Speakin…

My non-tech brother has the latest Google Pixel phone and he enthusiastically uses Gemini for many interactions with his phone.

I almost switched out of the Apple ecosystem a few months ago, but I have an Apple Studio monitor and using it with non-Apple gear is problematic. Otherwise a Pixel phone and a Linux box with a commodity GPU would do it for me.

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