Part of Google Gemini Security Vulnerabilities · 3 stories · since Sep 23 · newest 1h ago
Google launches Gemini 4 Argon, locks it behind 'trusted cyber defenders' accessArtificial Analysis ranks Google back among the top three labs
6 Oct 1 · 12d ago · 12 comments · 2 sources · development 6 of 6
Artificial Analysis's Intelligence Index scored Gemini 4 Argon well above the median comparable model, concluding Google is again among the top three labs for overall intelligence even without taking a clear outright lead.
Sundar Pichai Google CEO
Demis Hassabis CEO, Google DeepMindKoray Kavukcuoglu SVP, Google DeepMindGoogle Developer of Gemini 4 Argon
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What was reported 3 claims about this development
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first by Artificial Analysis, 13d ago · also The Deep View
1 more headline
- Gemini 4 puts Google back in the frontier AI race The Deep View · 13d ago
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first by HN Frontpage, 13d ago
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first by Artificial Analysis, 13d ago
What people said 13 voices · verbatim
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Here are sites with ongoing measurements checking if a model has been nerfed - check opus 5.5-
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They don't even follow DRY, They do if you make them with tooling, for example fallow works well for us.
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> Gemini 4 Argon is already powering our internal workflows, with thousands of Googlers highlighting the model’s strengths in specialized coding tasks, conducting deeper research, and writing quality.Maybe they can push it to make the Android accessibility framework more responsive, especially when scrolling the screen with TalkBack, and catch…
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Google's way of presenting their model's performance is terrible compared to Anthropic or Openai. Google's benchmark results are not useful at all. If you look at their methodology, they only present the model's performance at the Max reasoning levels. https://storage.googleapis.com/deepmind-media/gemini/gemini_...I don't know anyone who normally…
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Google is basically the incarnation of the Immortal Snail meme. OpenAI and Anthropic get millions of USD and are made immortal. But Google is the snail, constantly chasing them, slowly, day and night, relentlessly.> Immortal Snail, also known as the Snail Assassin, refers to a hypothetical scenario in which a person is given millions of dollars…
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> Argon agents are working on migrating C/C++ codebases to Rust across Google — scaling from tens of thousands of lines in core libraries like re2, libgav1 up to 800K+ lines for the Fuchsia Zircon kernel.That seems like quite an interesting data point regardless of the quality of the model. Are the results of these migrations going to be put into…
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Has someone found out how to stop Antigravity from training on your data? I had checked 10-15 days ago on the pro plan (around $20 per month) and I couldn't find a clear option to turn off training like all other big players give.So no matter how good their model is, it's useless to most of the regular users.
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So Gemini Pro (I use agy, because no other harness can be used for subscription plan) was supposed to get Gemini 3.5 Pro, at some point (it was planned, right?), but instead Argon arrives and I am pretty sure it will only be in Ultra sub and don't think 3.5 Pro is coming anymore.
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I would like to use my Google AI Pro subscription included with Drive but last time I checked, their terms were not just ambiguous and confusing wrt training and ZDR, they were contradictory. Until they have that fixed and properly communicated, I'll stick to other vendors.
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My theory is that Gemini 3.8 Flash was supposed to be Gemini Pro, but by the time it was ready for release, Google was embarrassed at how far behind their "pro" model was, so they just named it Flash. It's a good model, but don't let the name trick you.
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``` void* mmap(void *addr, size_t length, int prot, int flags, int fd, off_t offset) { if (!real_mmap) real_mmap = dlsym(RTLD_NEXT, "mmap"); ```hope it's not run by multiple threads and dlsym is not allocating.
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> Argon agents are working on migrating C/C++ codebases to Rust across Googlethis is big news, mass migration from C/C++ to rust with the help of AI agents will be the norm from now on!
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Google still doesn't know what day it is when I ask the browser if street cleaning is in effect in NYC. The bigger gains in usability are coming at the harness level rather than model level.
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