StoryFirst seen
Google says it wins 14 of 19 benchmarks, but employees with direct access told Bloomberg it struggles on real coding…
Everything it touches
17 names 13 voices 13 source posts
The story’s neighborhood
Explore the graph, or choose a connection below.
Follow the evidence
This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.
Very excited to announce Gemini 4 Argon, our new Frontier AI model, and a huge step forward across key capabilities. We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soonRead original on X
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:Read original on X
Introducing Gemini 4 Argon, our new frontier model, rolling out to cyber defenders starting today, and more widely as soon as possible. I am really excited by the progress we have made here. Argon is priced at $2 in and $10 out during introductory pricing!Read original on X
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.Read original on X
Announcing Gemini 4 Argon, our new frontier model. Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. We’re also expanding the model’s output token limit to an industry-leading 1M tokens. Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.Read original on X
Excited to share the first look at Gemini 4 Argon.Read original on X
My first OBSERVATIONS from Sundar's Gemini 4 Argon announcement: 1. Quantum. Google's quantum researchers gave Argon a key piece of quantum software to shrink, and in minutes it found a version that needs 40% fewer qubits and operations than the best published human solution. Quantum computers are useful ONLY once programs fit on the hardware, so this pulls that date closer from the software side, and it also shortens the time banks and governments have to switch to encryption quantum can't break. 2. Data center memory. A team of Argon agents read Google's server data, found waste, and freed over 300 TiB of memory on their own, with up to 1 PiB expected. If agents can do this everywhere, companies will point them at their cloud bills before buying more servers, and some of the huge data…Read original on X
GOD DAMN… Gemini 4 Argon is not only as smart as Astra, it’s way way cheaper per task: > Argon: $1.99 per task > Astra: $3.26 per task > Opus: $5.98 per taskRead original on X
Google cooked with Gemini 4 Argon! – A team of Argon agents went through fleet-wide profiling data and freed up over 300 TiB of memory across data centers – It beat a published quantum algorithm baseline by 40% in a few minutes – It is migrating C/C++ to Rust, up to 800K+ lines for the Fuchsia Zircon kernel – For libgav1, it replaced 32K lines of SIMD code and ended up with a memory-safe decoder that runs 2.7x faster than the existing Rust port, with identical output Intro price is $2 input / $10 output per 1M tokens. Claude Opus 5.5 is $4 / $20. Fable 5.1 and GPT-6 Astra are both $10 / $50. Catch: the price doubles to $4 / $20 after the intro period, and it's not publicly available yet.Read original on X
Google DeepMind announces Gemini 4 Argon, with testing focused on coding and cybersecurity.Read original on X
Google just shipped its most powerful model ever, and almost nobody is allowed to use it. Gemini 4 Argon launched today to a vetted list of cyber defenders through something called the Fairwind Program. For those defenders, Google is removing the cyber guardrails entirely. And before any of this, the model went through the US government's voluntary pre-release review. A consumer AI company ran its product launch through the government first. Google isn't the outlier either. OpenAI said GPT-6 Astra crossed its "Critical" cybersecurity threshold last month. Anthropic gates Claude Mythos to approved organizations. Three frontier labs converged on the same playbook within weeks of each other. The reason is in the capability itself. Argon can autonomously find, validate, and patch critical…Read original on X
Gemini really started shipping press releases instead of products huh They say they built a frontier model… that neither you nor me can use 🤡 Speaking for myself, I just don’t care in that case, and it’s not a frontier model in my books if not usable by everyday devs sorryRead original on X
SITUATION EXPLAINED: Google says Gemini 4 Argon wins 14 of 19 benchmarks. Its employees say it's benchmaxxed. • Google's first frontier model since Gemini 3 last November, with a new high of 77.9% on DeepSWE • Bloomberg: employees with direct access say it struggles on real coding work and front-end design • Google calls that inaccurate, and one employee cites large consensus internally that Argon is at the frontier • It's going to trusted cyber defenders through Fairwind first, while Google participates in the US government's voluntary pre-release access process • $2 and $10 introductory, doubling to $4 and $20, which matches Opus 5.5 and undercuts Astra • On @arena it's 1st in Text Arena, including coding and creative writing, but 8th in Code Arena behind both Opus models, Fable 5.1,…Read original on X
Shared connections
Researchers including Scott Aaronson describe colleagues dropping their work to unpack AI solutions to problems that stood open for decades.
Mathematicians including former OpenAI researcher Scott Aaronson say colleagues across the field are dropping their own work to understand the solutions, a signal of how quickly AI
A leading lab writing its own proposed rules for frontier AI and taking them to lawmakers marks a new phase in how AI policy gets shaped.
Early side-by-side tests show the model, built by veterans of Google and Apple vision work, outscoring a rival on spatial tasks at low per-token prices.