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' accessBloomberg reports internal skepticism among Google employees
4 Sep 30 4:30 PM · 13d ago · 11 articles · 12 posts · 14 comments · 4 sources · development 4 of 6
Bloomberg reported that Google is grappling with skepticism from its own employees about the new Gemini model, even as the company promotes thousands of Googlers using it internally.
“Great, so they _finally_ decided to add a non-flash model and it's not available to regular subscribers for an indefinite period. What's the point of paying for the AI Ultra plan?”
Revanche1367, HN commenter · hn ↗
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 1 claim about this development
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first by Bloomberg, 13d ago · also Bloomberg Tech
What people said 17 voices · best of 18 · verbatim
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Google releasing their most capable model yet (Gemini 4)
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Great, so they _finally_ decided to add a non-flash model and it's not available to regular subscribers for an indefinite period. What's the point of paying for the AI Ultra plan? Anthropic doing the same with Fable as far as I know, OpenAI at least allows Pro plan subscribers to use Astra. I subscribe to Gemini AI Ultra and ChatGPT Pro, and have…
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Sources: some Google employees say Gemini 4 performs well on benchmarks but struggles with some real-world coding tasks; Google disputes that characterization (Bloomberg) https://www. bloomberg.com/news/articles/20 26-09-30/google-grapples-with-employee-skepticism-about-new-gemini-model http://www. techmeme.com/260930/p44#a26093 0p44
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I wonder, why Google don't make Gemini - open weights model?Considering, Gemini 4 is in the same ballpark as SOTA models, just open source it and kill any competition from openAI and Anthropic, and be market leader.This will be so good on so many dimensions - buying time for Google to iterate on next model, best for all folks like us, kill funding…
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Gemini 4 Argon: https:// blog.google/innovation-and-ai/ models-and-research/gemini-models/gemini-4-argon/ Discussion: http:// news.ycombinator.com/item?id=4 9913571
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Breaking news is not the model. Breaking news is that inside Google, it is being heavily used on large code bases for writing code and it is migrating 800k lines of C++ code to Rust already.In this space, any other company that I respect other than DeepSeek is - that would be Google. They had been honest about it from the get go including their…
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The important take away here: the leapfrogging we’ve seen this year doesn’t seem to be a temporary thing. The famous theory of Dario Amodei was that AI was this winner-takes-all field where the first team to get a head start would never cede ground back. The term he liked to use was, “concentrating”. This is yet another datapoint that he was wrong…
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> Large Scale Codebase Migrations and Optimizations: 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 OS Zircon kernel.To me this is way more significant than other random c++-to-rust-AI-rewrite. If they can pull…
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Ten days ago I had an experience with Gemini 3.8 flash that made me wonder if I was being routed to a different model under test. I was trying to use rocm with llama.cpp on my 128gb Strix Halo but could only get it to run Vulkan. I pasted the error message into agy and it proceeded to attach GDB to my GPU driver, reverse-engineer the kernel queue…
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> Quantum algorithmic optimization: Argon is helping our quantum computing researchers optimize the spacetime resources (qubits × gates) of subroutines that bottleneck important applications. In one example, it beat the published baseline by 40% in a matter of minutes.Amazing breakthrough! So useful in day to day life, glad they put this as the…
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For getting redroid running on my Linux system, 3.8 Flash decided to binary patch a .so file instead of getting the AOSP source code and patch/build it properly.And I saw it do this twice, once for Android 14 and once for Android 16.I think this is just within 3.8 flash's capabilities.
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3.8 Flash is just quite good, and so is the Antigravity harness.I use a mix of Fable 5.1, Opus 5.5, and Gemini 3.8 Flash and Gemini holds it's own. Especially in writing, frontend, and sysadmin work. agy for configuring a NixOS system has been truly incredible.
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Gemini is honestly amazing sometimes. If they didn't force you to use a terrible harness, charge too much for way too little, and generally act like customers are a giant problem to be avoided I'm sure Google could take over the AI market.
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Can confirm, I was doing a routine internet search thing for a curiosity 3 days ago (about the only thing I used Gemini for) and was surprised by how suddenly thorough and quality the response seemed, almost overnight.
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Can confirm - I am HEAVY claude user, but always like to check with AGY and CODEX in between. AGY with Gemini 3.8 flash cooked last couple of times and CODEX is basically out of the mix for me
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My experience with Gemini 3.8 Flash has been awful; it gives me the most hallucinations out of the major models. I'm not using it for coding, but general research on different topics.
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Please tell me you published your findings even as an issue on the llama.cpp GitHub
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