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Gemini 3.5 Flash

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Re: Gemini 3.5 Flash

#451

Post by gpm »

lxgr wrote: post #299
et1337 wrote: post #259

Earlier quoted context omitted.

Asking random people to write SVG gives even worse results

Especially without being able to look at the rendered output! (At least I'd be surprised if modern server-side tool calls regularly include an SVG renderer that can show a rasterized version to the model to iterate on it.)

One of the many things Google was pitching today is that they're going to run things like google search with access to linux container environments to do things like run tool calls... which will presumably be able to rasterize SVGs and show them to the model.

But Simon says he runs these through the API without tool access specifically to prevent that sort of "cheating". I.e. it's an LLM benchmark not an LLM+Harness benchmark.

Re: Gemini 3.5 Flash

#452

Post by hedora »

brokencode wrote: post #68
HardCodedBias wrote: post #50

Oh boy. GDM is making (or has been backed into a corner into making) the bet that high throughput, low latency, low capability models are the path forward. That probably works for vibe coded apps by non-practitioners. I suspect that practitioners/professionals will wait longer for better results.

Where do you see that it’s low capability? And Google is trying to make something affordable enough for a mass market, ad-supported audience. They aren’t hyper focused on enterprise like Anthropic is. And that’s okay. There’s room for different players in different markets.

Price up (cost up?), benchmarks down. Latency down.

So, who is this for? People that want more ads and worse output, but want it faster? Sounds pretty awful to me.

Re: Gemini 3.5 Flash

#453

Post by razodactyl »

Aw. The listen to article widget doesn't work properly on mobile Safari and when using the options button, the popup appears below the "In this article" dropdown occluding it.

At least it read the authors of the article to me.

I wish we would push more towards testing code. Agentic AI excel when it's engaged.

Re: Gemini 3.5 Flash

#454

Post by mchusma »

I have thought about this and I think overall, this was a disappointing release from Google. I'm not sure the sentiment, but this feels like a miss.

What they did do in the keynote was spend a lot of time talking about their distribution advantage, and how they can own the consumer in search. But not a lot that will benefit partners or developers.

Basically, they released something broadly competitive with Sonnet 4.6, a new Omni model that seems interesting but unclear yet. They have completely ceded the frontier to OpenAI / Anthropic, and are saying "look for pro next month".

The best release since nano banana pro from Google has been Gemma.

Re: Gemini 3.5 Flash

#455

Post by Viacol »

humanfromearth9 wrote: post #276
throwa356262 wrote: post #255

Earlier quoted context omitted.

To be honest, China not having access to the latest hardware is exactly what has driven LLM technology forward the last 2 years.

Why?

On top of that, China is also facing hardware constraints, which is pushing companies to develop better domestic chips for AI training. It'll be interesting to see how things perform once Huawei's newer hardware is fully deployed at DeepSeek.

Re: Gemini 3.5 Flash

#456

Post by stirfish »

p1esk wrote: post #421
stared wrote: post #375

Earlier quoted context omitted.

To a certain extent, it feels like a Sonnet 3.7 moment. Slightly overeager - you ask for a button color change, you see layout changes, new package dependencies, and the README rewritten from scratch - and not necessarily correctly. When I ask for a pelican on a bike, I want the Platonic ideal of a pelican on a bike, not a vision of an alternative reality in which pelicans created bikes. Though, thinking about it aga…

What is “Sonnet 3.7 moment”?

Slightly overeager - you ask for a button color change, you see layout changes, new package dependencies, and the README rewritten from scratch - and not necessarily correctly.

Re: Gemini 3.5 Flash

#457

Post by dinfinity »

Culonavirus wrote: post #432
neksn wrote: post #295

Earlier quoted context omitted.

Considering all models can use search engines, is this really relevant?

This is not meant as an insult, but have you actually LLM/vibe coded anything that used a fast(-ish) moving library or framework? Try asking your favorite LLM with say Jan 2025 knowledge cutoff (or pretraining data cutoff, whatever you want to call it) to work on something using a framework that had a big rewrite later that year (which would make it one year old now, which is like ages in the LLM coding era)... It's…

> It's a nightmare full of wrestling with the LLM when you try to tell it the version of the framework and that it changed a lot from the previous version and yadda yadda

Tip: Add a default instruction to look at the actial downloaded source code of the dependencies used (assuming you're not dealing with closed source dependencies). Have the agent treat it as your own (readonly) source code instead of relying on model training data and possibly mismatching documentation on the web. Then it just greps for the exact function signatures and reads the file based documentation.

Re: Gemini 3.5 Flash

#458

Post by dzhiurgis »

GodelNumbering wrote: post #84

Per million input/output tokens: Gemini 2.5 flash: $0.30/$2.50 Gemini 3.0 flash preview: $0.50/$3.00 Gemini 3.5 flash: $1.50/$9.00 Interesting pricing direction. I don't think we have ever seen a 3x price increase for in the immediate next same-sized model (and lol @ 3 only ever getting a preview). 3.5 flash costs similar to Gemini 2.5 pro which was $1.25/$10

I use Gemini models in Junie daily. When I need accuracy I switch to Gemini 3.1 Pro Preview (why it is still in preview?), but it burns thru credits leaving me topping up $5 every day. 3.1 Flash lite is just not accurate enough. 3 Flash is sweet spot just as Jetbrains suggests it is.

Maybe I'll look at Opus again, but it just was slower, much more expensive and worst at all - wasn't listening to you instructions.

Re: Gemini 3.5 Flash

#459

Post by dzhiurgis »

smcleod wrote: post #173
simonw wrote: post #131

The pelican is a lot : https://github.com/simonw/llm-gemini/issues/133#issuecomment... Not a great bicycle though, it forgot the bar between the pedals and the back wheel and weirdly tangled the other bars. Expensive too - that pelican cost 13 cents: https://www.llm-prices.com/#it=11&ot=14403&sel=gemini-3.5-fl...

I feel like it embodies Google's vibe of an uncool guy trying to stay relevant to the youth pretty well.

That's grok. IMO both gemini and grok are the most overlooked models.

Re: Gemini 3.5 Flash

#460

Post by Razengan »

simonw wrote: post #131

The pelican is a lot : https://github.com/simonw/llm-gemini/issues/133#issuecomment... Not a great bicycle though, it forgot the bar between the pedals and the back wheel and weirdly tangled the other bars. Expensive too - that pelican cost 13 cents: https://www.llm-prices.com/#it=11&ot=14403&sel=gemini-3.5-fl...

I've found prompts like "capybara with spotted fur and 7 octopus tentacles instead of legs, each a different color, riding a tricycle" etc. to be a better test

Last time I tried, ChatGPT's image generator got the best result.

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