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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

#341
post #63

This is the first flash/mini model that doesn't make a complete ass of itself when I prompt for the following: "Tell me as much as possible about Skatval in Norway. Not general information. Only what is uniquely true for Skatval." Skatval is a small local area I live in, so I know when it's bullshitting. Usually, I get a long-winded answer that is PURE Barnum-statement, like "Skatval is a rural area known for its bea…

I tested it for coding in Cursor, and the disappointment is real. It's completely INSANE when it comes to just doing anything agentic. I asked it to give me an option for how to best solve a problem, and within 1 second it was NPM installing into my local environment without ANY thinking. It's like working with a manic patient. It's like it thinks: I just HAVE TO DO SOMETHING, ANYTHING! RIGHT NOW! DO IT DO IT! I HEARD TEST!?!?!? LET'S INSTALL PLAYWRIGHT RIGHT NOW LET'S GOOOOOO.

This might be fun for vibecode to just let it go crazy and don't stop until an MVP is working, but I'm actually afraid to turn on agent mode with this now.

If it was just over-eager, that would be fine, but it's also not LISTENING to my instructions. Like the previous example, I didn't ask it to install a testing framework, I asked it for options fitting my project. And this happened many times. It feels like it treats user prompts/instructions as: "Suggestions for topics that you can work on."

Re: Gemini 3 Flash: Frontier intelligence built for speed

#342

Earlier quoted context omitted.

Hi. I am curious what was the benchmark question? Cheers!

If they told you, it would be picked up in a future model's training run.

Don't the models typically train on their input too? I.e. submitting the question also carries a risk/chance of it getting picked up?

I guess they get such a large input of queries that they can only realistically check and therefore use a small fraction? Though maybe they've come up with some clever trick to make use of it anyway?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#343

Earlier quoted context omitted.

Hi. I am curious what was the benchmark question? Cheers!

If they told you, it would be picked up in a future model's training run.

Is that an issue if you now need a new question to ask?

Re: Gemini 3 Flash: Frontier intelligence built for speed

#344
post #273

Earlier quoted context omitted.

What will you use the ai in the phone to do for you? I can understand tablets and smart glasses being able to leverage smol AI much better than a phone which is reliant on apps for most of the work.

I desperately want to be able to real-time dictate actions to take on my phone. Stuff like: "Open Chrome, new tab, search for xyz, scroll down, third result, copy the second paragraph, open whatsapp, hit back button, open group chat with friends, paste what we copied and send, send a follow-up laughing tears emoji, go back to chrome and close out that tab" All while being able to just quickly glance at my phone. Ther…

This has been my dream for voice control of PC for ages now. No wake word, no button press, no beeping or nagging, just fluently describe what you want to happen and it does.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#345
post #338
post #326

Earlier quoted context omitted.

Depends what you count as AI (just googling makes you use the LLM summary), but also my mother who is really not tech affine loved what google lense can do, after I showed her. Apart from my very old grandmothers, I don't know anyone not using AI.

How many people do you know? Do you talk to your local shop keeper? Or the clerk at the gas station? How are they using AI? I'm a pretty techy person with a lot of tech friends, and I know more people not using AI (on purpose, or lack of knowledge) then do.

Hm, quite some. Like I said, it depends what you count as AI.

Just googling means you use AI nowdays.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#346
post #342

Earlier quoted context omitted.

If they told you, it would be picked up in a future model's training run.

Don't the models typically train on their input too? I.e. submitting the question also carries a risk/chance of it getting picked up? I guess they get such a large input of queries that they can only realistically check and therefore use a small fraction? Though maybe they've come up with some clever trick to make use of it anyway?

Given they asked in on LMArena, yes.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#347
post #342

Earlier quoted context omitted.

If they told you, it would be picked up in a future model's training run.

Don't the models typically train on their input too? I.e. submitting the question also carries a risk/chance of it getting picked up? I guess they get such a large input of queries that they can only realistically check and therefore use a small fraction? Though maybe they've come up with some clever trick to make use of it anyway?

they probably dont train on inputs from testing grounds.

you dont train on your test data because you need to have that to compare if training is improving or not.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#348
post #45

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…

Why wouldn't you switch? The cost to switch is near zero for me. Some tools have built in model selectors. Direct CLI/IDE plug-ins practically the same UI.

Because some people are restricted by company policy to only use providers with which they have a legally binding agreement to not use their chats as training data.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#349
post #91
post #45

Earlier quoted context omitted.

Why wouldn't you switch? The cost to switch is near zero for me. Some tools have built in model selectors. Direct CLI/IDE plug-ins practically the same UI.

Not OP, but I feel the same way. Cost is just one of the factor. I'm used to Claude Code UX, my CLAUDE.md works well with my workflow too. Unless there's any significant improvement, changing to new models every few months is going to hurt me more.

just switch to Opencode and stop locking yourself into a particular providers way of doing things.

There's a plugin for everything that mimics anything the others are doing

Re: Gemini 3 Flash: Frontier intelligence built for speed

#350
post #4

Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price

OpenAI made a huge mistake neglecting fast inferencing models. Their strategy was gpt 5 for everything, which hasn't worked out at all. I'm really not sure what model OpenAI wants me to use for my applications that require lower latency. If I follow their advice in their API docs about which models I should use for faster responses I get told either use GPT 5 low thinking, or replace gpt 5 with gpt 4.1, or switch to…

> OpenAI made a huge mistake neglecting fast inferencing models.

It's a lost battle. It'll always be cheaper to use an open source model hosted by others like together/fireworks/deepinfra/etc.

I've been maining Mistral lately for low latency stuff and the price-quality is hard to beat.

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