Part of Google Gemini Security Vulnerabilities · 3 stories · since Sep 23 · newest 10h ago
Google launches Gemini 4 Argon, its first frontier model since Gemini 3Google details Argon's robotics and physical-reasoning capabilities
3 Oct 13 12:55 PM · 1d ago · 4 articles · 1 video · 6 posts · 10 comments · 6 sources · development 3 of 7
A companion blog post showed Argon scoring 87% on the Embodied Reasoning (ERQA) benchmark and being used to control robotic arms, quadrupeds and humanoids via digital twins and closed-loop visual reasoning.
“I'd put it at B tier, just under gpt 6.1 sol. It isn't A tier like Opus 5.5 or Astra.”
jjcm, Hacker News commenter · hn ↗Google / Google DeepMind Developer of Gemini 4 ArgonLogan Kilpatrick Google (OfficialLoganK)Artificial Analysis Independent AI benchmarking firmOpenAI Rival AI lab (GPT-6 Astra)Anthropic Rival AI lab (Claude Fable/Opus)
The whole story articlesvideospostscomments the bright band is this development · numbered dots are the others · click one to jump
Reported in the same hours no headline names this development itself — these 1 claim were published in its stretch
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first by Android Police, 1d ago · also Seeking Alpha, HN Frontpage, Google Developers Blog, Google DeepMind, Quartz
3 more headlines
- Google opens Gemini 4 Argon AI model to developers and businesses worldwide Seeking Alpha · 1d ago
- Gemini 4 Argon for Robotics HN Frontpage · 1d ago
- Google is releasing Gemini 4 Argon to developers and paying subscribers Quartz · 1d ago
On air 1 segment · click to watch, arrow keys to move
What people said 11 voices · verbatim
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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:
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Gemini 4 Argon: https:// deepmind.google/models/gemini/ Discussion: http:// news.ycombinator.com/item?id=5 0073879
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simonw, your pelicans are so famous now that the frontier labs can just RLVR for SVG images explicitly.It's a simple manner of prompt...generate concept art with nanobanana, measure, llm creates svg with text, measure the distance between rasterized svg embedding to nanobanana art....do post-training RL on a 3 million such images and matching…
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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…
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Why are all these AI's making the pelican's pouch so large though? Unless they have some huge fish in there or something they don't tend to look like that... Is it that it's drawing a "cartoon" pelican or something?
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You can really see the effort in the details.Subtle highlights on the metal frame, sweat beads, jaunty little hat…it has style. At least compared to the rather literal ChatGPT outputs.
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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…
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Gemini 4 Argon is a new leader in Pareto-frontier. Looks like, Google is back in the race.https://arena.ai/leaderboard/agent/chat/paretoFor almost same intelligence (+15.56%, +15.18%), drastic difference in cost/task ($3.51 vs $0.41)
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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:
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In this moment there are two top post one about GLM-Legal and other about Argon, both score almost the same in the Harvey Lab test, but prices are $0.15 versus $10.55, the $0.15 is a Vals AI's estimate using the base model since GLM-Legal has not published prices.
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Excellent, but not perfect -- if google really is training to pelicans, then clearly they are not capable of perfect pelicans.As one point, the high pelican's arm is see-through/messed up.They do look worlds better than previously, to be fair.
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