Gemini 4 Carbon

It's clear that all the labs have stagnated and have no idea where to go from here. All their results are basically equal now, they're benchmaxed to fuck and there are zero new architectures.

i dont know how to contribute to this platform.

My general impression of all Google models I've tried so far is a general "goody two shoes" feeling which I find very, very frustrating.

I'm going to experiment with this one (assuming they ever get around to actually releasing it), and I'm really hoping the lame cultural aftertaste is gone.

Great to see Google reclaim the frontier, however, as usual with most Google launches, an announcement for a product that no one can actually try outside of a tiny circle of users.

This feels like a pretty big deal. Quite a few people sleeping on argon because it doesn't come via a subscription, but it's noticeably better than pretty much everything in my own weird game based benchmark (https://botbowlbench.com/)

Is this the best and the biggest model from Google now? I have a hard time understanding this stuff with all the various tiers and “best” terminology use within tiers.

I wonder if this is finally a frontier model or just dogshit(i.e. behind open models) like all the past 3 models they released so far.

Well, they won the race on confusing the shit out of us with model names.

why come google is not coming up with navier stokes level proofs?

Oh, look! Another model that's supposedly amazing at Cybersecurity.

Too bad you won't be able to use it to secure your open-source projects. If you try it'll throw up a prompt telling you to use some initiative you can't use or afford while the provider collects the findings. What a racket.

Argon has been so disappointing that I don't know what to think. It feels like an older-generation model, except for its world knowledge.

> Coming soon

Come on googs!

benchmaxxed shit

So now we are just showing some tables with each model?! Who even used argon in normal day to day stuff? From the time they opened Argon publicly to now, it’s like: three weeks maybe?! Most these benchmarks weren’t realistic to start with, and now it is just meaningless tables, not to mention the model degrade from the release date to after few weeks.

The Google naming convention is so nonsensical it's comical.

With Anthropic and OpenAI, it's obvious immediately which are the better models. I.e. Sol is better than Luna, or Mythos is better than Fable.

But Google, let's pick Argon, which to most folks means mostly nothing. And then... Carbon! So which is better, Argon or Carbon? Nobody fucking knows. Plus neither sounds cool or viral or mysterious or even provokes curiosity.

When Fable was first leaked it sounded different and intriguing... Carbon just sounds... boring.

> in live coding environments with our own teams it shows reduced misalignment and fabrication rates

Wow. This huge. An AI company actually just said 'fabrication' instead of 'hallucination'. AI bubble about to burst...

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Oh good, another Gemini release where they don’t release it.