YHK - yet another hacker news clone

not available in our org (EU)

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

not available. classic google.

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

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

> built to solve your hardest problems

Like a working scroll on a webpage.

God damn this is impossible to use of safari mobile.

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.

  Unavailable · Gemini 4 Argon is currently available to Ultra plan subscribers.

People use Antigravity still?

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.

It's available for gemini pro users.

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.

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

That was a long wait.

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

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.

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.

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?

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?"

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.

> 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).

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

Unlike most people it seems, I like all the progress in AI but I really do wish they would reign in the over-the-top marketing. I mean, can we just get this stuff to the point where I can reliably work with it to design a well-architected software project without having to constantly struggle against bloat and nonsense directions no experienced or sane developer would ever take.

fyi: argon is an interesting choice of name, coming from the Greek argos meaning "lazy or living w/out labor".

3.1 Gemini was amazing for anything non-agentic. I switched to it for my primary chatbot purposes.

I never touch 3.8, it's awful. Curious to try this, but I've yet to use any Gemini that is good for agentic work.

Also, unrelated but this made me look at Artificial Analysis to see where it lands on Cost per Task, and it ranks Opus 5.5 at almost double Astra 6. That does not align with my experience.

can't use in agy with Pro subscription:

Unavailable · Gemini 4 Argon is currently available to Ultra plan subscribers.

Only available in the $100 plan, and it's worse than Opus 5.5? Why would you ever buy this?

> The model launches today at an introductory price of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).

Couldn't you just say what the price will be after the introductory period and when it'll take effect? Do they have some SKILL.md for these blog posts that requires the most important information to always be buried ten levels deep and hidden behind a login page?

Unsurprisingly, the pelicans are excellent. Google are the only lab who have publicly shared that they have specifically trained for SVG output - https://twitter.com/sunjiao123sun_/status/202455551655137292... - and they've had great pelican results in the past too (which they have shown off themselves - https://twitter.com/JeffDean/status/2024525132266688757).

Here's low, medium, high. Even low is better than pelicans from any other lab: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

low cost 10.185 cents, medium was 11.098 cents, high was 17.166 cents.

The costs are similar because it used more output tokens than reasoning tokens for all three pelicans, even for high.

Can’t even get it on pro tier in antigravity?

What’s the point lol. I’m not subbing to ultra to have it

Digging in the model card, "Gemini 4 is the next generation in the Gemini series, a suite of highly-capable, natively multimodal, reasoning models. Gemini 4 Argon delivers frontier performance..." If they're using noble gases there are 2 obvious lighter naming candidates and 3 larger (or 4 if you count Oganesson). I'm not seeing them claiming Argon is the top/biggest/bestest model among the Gemini 4 series, just that it has frontier performance.

Edit: noble gases not noble taxes, though the latter would be a funnier naming scheme.

I'm pro and I see that I need to be Ultra to use Argon :/

It seems the model is a little verbose, using more tokens to complete a task that other similar models as stated more precisely in the linked article about Artificial Analysis's work on this model.

Excited to finally see this out. When new big models come out I like to make them audit any other code I generated to see how things are.

"Argon autonomously turns raw video to a physics-accurate simulation, estimating depth and physical boundaries, and writing the exact simulation code required to replicate those real-world environments."

This is crazy if it can work accurately.

Google's models are by far the best for readable text but also for nuanced understanding of the input.

Even after using the free model in Google search talking to Anthropic or OpenAI models feels like talking to an ox.

Meanwhile I paid a subscription and they only provide access to 3.6 Flash. Consequently, I have moved on to open-weight models. It is what happens when you screw your customers over.

I'm open to Google winning me over again, but there isn't enough hype in the world to do it. They will need to earn it after these disappointing 6 months.

When you are on "gemini.google.com" there is a little lock icon next to Gemini 3 and Gemini 4. When you click it you get the prompt to subscribe (pay). Once you have successfully done so, the Gemini 4 option disappears!

Pretty misleading.

I have the Free AI Pro plan from when I purchased my Pixel 11 Pro. I still don't have Argon in AGY nor web nor Gemini app. I have a free product and still feel cheated.

Of all models I like to write with Gemini the most. The language appears much more natural and elegant than what even Opus 5.5 or Astra do. Also, they give 5TB of cloud storage and discounts, it’s a steal for what you get.

The code is bad though.

Here's how the 1M token output (long decode) works: https://ai.google.dev/gemini-api/docs/long-decode

All AI pages now include canvas animations. There isn't a single page without one. This is neither good nor bad, just an observation. I think OpenAI has the best animations so far, with Anthropic in second place. This one looks a bit off.

Not available for me on Pro in the UK.

It's a great model. I have had it trying to decrypt the Voynich manuscript for the past couple of days without being biased by other research/other people's attempts. If anyone is interested: https://github.com/d2kx/voynich-research

Are they gonna go to Krypton or Neon next? Kinda started in the middle there.

Pricing is interesting. At launch Argon is the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra.

But on December 1st Argon doubles in price - so it will be the same price as Opus 5.5.

Meanwhile, here's Gemini in practice:

Me: Gemini, navigate to nearest McDonalds.

Gemini: [Lists 10 McDonalds locations wnd asks which I want.]

Me: What were the priginal instructions just now?

Gemini: [Recites imperatives about tone and content from its memory system.]

Me: No. I told you to navigate to the NEAREST McDonalds. There's only one NEAREST McDonalds. Do that one.

Gemini: My mistake, navigating to the nearest McDonalds. [Opens Maps, navigating to a McDonalds across town.]

Just switched, and it seems to be much better. I'm hoping it stops lying. I have Pro max subs for Claude, Codex, Grok, and Google AI... I was forced into using Google by running out of credits elsewhere.

I have found that Gemini often claims it did something, but didn't actually complete the task.

I just had 3.8 Flash do a major refactor -- that never should have needed to be done in the first place -- and switched to Argon 4, and had it review it.

Almost everything had been stubbed out by 3.8, and none of it was properly integrated into the codebase. :facepalm:

Curious what this means for the anthropic ipo. Between this and meta, seems like there’s zero moat

I would love to try it out, and the Gemini models had previously been some of the ones I'd liked best in an overall sense, but unfortunately their updated inference endpoint is no longer ZDR on OpenRouter (change takes effect on the 18th). I think this is one of the more unfortunate turns in AI development in 2026, as it seemed like labs offering it was becoming the norm last year, and Google had previously done so consistently.

Why can't the Gemini model code? I'd guess Gemini probably used the best dataset. Even Google is the place where the world's best coders are gathered, isn't it? Yet the GPT code from OpenAI, which collaborated with Microsoft, is beautiful, while the Gemini model's coding is trash.

I'm still waiting for a model which I can tell to "take these 3 screenshots and make a product launch video", where it doesn't randomly modify the screenshots or garble/rewrite the text as it moves the screenshots around the video.

Every time I try to generate one it's like a slot machine, where a different part will be messed up after fixing the first.

Image->html test for Argon. I'd put it at B tier, just under gpt 6.1 sol. It isn't A tier like Opus 5.5 or Astra.

Argon build: https://html.non.io/lcars-argon/

GPT 6.1 sol: https://html.non.io/lcars-gpt-6.1-sol/

Opus 5.5 (currently SOTA for this): https://html.non.io/lcars-opus-5.5/

Original designs: https://diffui.ai/app/canvas/5093e689-1e74-4f26-b632-2a4500f...

Glad to see them abandon the absolute train wreck of their model naming "strategy".

Gemini Live vs. Gemini Lite vs. Gemini Pro vs. Gemini Flash vs. Nano Banana Lite (that one apparently has no Gemini prefix?)... Please, just pick a metaphor and stick with it without wildly mixing reasoning modes, model sizes, and input/output modalities in the model name!

why they wait so long ?????

I hope all the people very concerned about AI safety are cheering this one. The best guard against one AI swarm taking over is having multiple adversarial orgs all with similarly advanced AI swarms.

I wonder if any of the AI safety people will begin encouraging AI researchers to swap jobs to work at a failing lab in order to keep them all extremely competitive with one another.

Right now there are two top posts one about GLM-Legal and one about Argon. Both score about the same in the Harvey Lab test, but the prices are $0.15 versus $10.55, the $0.15 is Vals AI's estimate using the base model since GLM-Legal has not published prices.

Gemini 4 Argon is a new leader in Pareto-frontier. Looks like, Google is back in the race.

https://arena.ai/leaderboard/agent/chat/pareto

For almost same intelligence (+15.56%, +15.18%), drastic difference in cost/task ($3.51 vs $0.41)

Here I was thinking Google had given up on frontier models...

It passed the test of using latest crystal-lang concurrent feature (with web search) when gemini 3.8 flash failed (again, with web search enabled). I think it is at least useful for coding, for sometime.

It still thinks Charlie Kirk is alive, though.

>"Argon helped the Chrome team separate core webpage handling from a ~6 million line legacy folder of browser features held within Chromium’s 40 million-line codebase. Piping multiple clean code changes at a time, Argon helped the team finish an architectural refactor across hundreds of files, completing months of work in weeks."

Now that needed to be done for some time!

Regardless of if an AI helped or not, regardless of whether that was Google's or some other AI or not (though Argon does sound pretty cool!), regardless of whether an AI cut the time from months to weeks or not, refactoring Chrome -- decomposing it into individual clearly demarcated non-tightly coupled software parts with core webpage handling at the center -- that needed to be done for some time!

Now all of that being said, Gemini 4 Argon does sound pretty cool, and we congratulate both teams at Google -- the team that created Gemini 4 Argon, and the team that refactored Chrome with it!

But all of that being said, while the advancements made for Gemini 4 Argon are important and impressive (and they are!)... refactoring Chrome properly (IMHO) is slightly more important and impressive!

(You know, one man's humble opinion! That is, I am not the guy who is responsible for awarding performance-based bonuses at Google at the end of the year, so take everything I say with the proverbial "grain of salt"! :-) I am probably biased, one way or the other! :-) )

Only available on Ultra, so I thought maybe I'll try it for one month to see if it's good. Well, I have Google One and for some reason this means I cannot sign up for AI Ultra? This is just one of the worst product rollouts I've ever seen