Gemini 4 Argon

737max 1173 points 836 comments October 13, 2026
deepmind.google · View on Hacker News

See also: Gemini 4 Argon for Robotics - https://news.ycombinator.com/item?id=50074869

Discussion Highlights (20 comments)

username_my1

not available in our org (EU)

idbnstra

so this is prob why antigravity is not working well at the moment lol

w4yai

not available. classic google.

nitinreddy88

not available yet. why to launch something that can never be used even after weeks

llmslave

Blatantly obvious that models will not slow down. For any task, if we can build a dataset or environment of verifications, it can be automated. This will eat all of human tasks. The fact that multiple companies can breach any benchmark means there is no ambiguity in terms of how to build AI, its just a matter of time. Certainly Meta and Google are benchmaxxing to please public markets, but it still proves the above

IanCal

> built to solve your hardest problems Like a working scroll on a webpage. God damn this is impossible to use of safari mobile.

tekacs

To everyone saying not available yet: it looks from the page like Pro and Ultra subscribers have it today and given the play links, it'll probably show up in the API in a few hours.

vegnus

People use Antigravity still?

zf00002

Finally, gemini 3.8 has been falling way behind opus and sol in my experience. It's showing up in my antigravity. My work account though still has 3.6, 3.8, 3.1.

mridulmalpani

It's available for gemini pro users.

aliljet

Good God, man. Google has the worst frontier lab rollout of them all. And they're delivering products that are behind the curve constantly. Now, I happen to believe that's an excellent strategy. I bet they actually resolve more LLM requests than any other company at this point. The lay person still uses Google exclusively.

sva_

Not available in my browser/app yet (pro), but I'm confident it'll roll out soon. That was a long wait.

algoth1

Gemini 3.1 is still SOTA at weird handwriting recognition. If Argon is better it will be amazing

timpera

The slides they show in the catering video demo are so bad (in addition to having all the usual signs of AI design), I would genuinely laugh if a supplier sent me this.

postalcoder

I'm using this model via API. I am most excited about its ability to write the english language (or any language). My least favorite trend on twitter has been people posting 2D illustrations/3D renders as a proxy for model capability. Well-written prose is far less likely to go viral but far outstrips the importance rendering a fantasy world in one shot. I've been trying it out via the API and the model has been a delight so far. Clear in the head, not RL-fried, distinct writing style, and big model smell. That said, the em-dash is back w/ this model. That said, I would be so frustrated with Sundar Pichai if I was on the Google team. The botched rollout of this model seems to be entirely a matter of capacity, and Pichai has been more than happy to give it to anybody but his own team.

axblount

Gemini isn't perfect but I find it a lot less annoying than other model families (personal preference or stockholm syndrome). Interested to read the reviews. Is it actually available?

jordemort

at this rate we're gonna run out of stupid names for these things "Hans, we're doing a new point release! What isn't crossed out on the periodic table yet?"

GodelNumbering

The previous gen pro used to have this weird tick where if you ask it a reasonably open ended question, it would number things in the response and assign each one some weird label starting with 'The...' e.g. X: The Parameters Y: The "System" Z: The "Ongoing Grind" The first two prompts I tested in AI Studio does the same, unfortunately. Another quite unpleasant tick was that if you specify a peculiar term in your prompt as a conversational shortcut, it would keep repeating that throughout the conversation. e.g. "...What is a bitter lesson pilled way to do this?", then you'd see it will quote "bitter lesson pilled" at like 7 places in its response. This one seems to have eased off a little.

Insanity

> Across Google and our early access partners, Argon is quickly becoming the preferred model for engineers tackling long-horizon software engineering. "Across Google", wonder how much that is because of an effort by Google to curb usage of Anthropic models. MSFT and Meta similarly are pushing for in-house models. It doesn't mean the models are better when you push your engineers to dogfood and restrict access to other LLMs. (Not that I know for sure this is the case, it's more of a hypothesis).

rw2

Fable 5.5 about to drop the hammer on them and then another Astra version goes out lol.

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