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deepmind.google
Newest story built on deepmind.google reporting: Google and Singapore's GovTech train a Gemma model to catch scams as a conversation unfolds (October 15, 2026). deepmind.google reporting informs the Science, Build, Product, and Security desks, most often on Frontier AI models, LLM API Pricing, and On-Device AI. 10 of our current stories draw on it, the earliest from August 28, 2026.
Google is rolling out Gemini 4 Argon to AI Pro subscribers in the Gemini app, where it was Ultra-only. Antigravity's own desktop app and CLI still require Ultra, 9to5Google reported.
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Google DeepMind and Singapore's GovTech announced a Gemma-based scam detector on October 14 that runs on the phone and reads whole conversations. It has no public release date, and Google has not named the messaging apps that will support it.
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DeepMind reports that Gemini 4 Argon scores 87% on the ERQA embodied reasoning benchmark. Its Spot and robot-arm demos run through a named skill and a set of action primitives, so they test planning over a control stack that already exists.
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Google is rolling out Gemini 4 Argon broadly and says it solved all 12 simulated end-to-end cyberattack scenarios, up from five. Every figure comes from Google's own post, and the foundational vulnerabilities it cites are still in responsible disclosure.
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Google released EmbeddingGemma 2, an Apache 2.0 model that maps text, code, images, video and audio into one embedding space with 740M parameters. Phone apps get offline cross-media search from one set of weights, within limits set by a shared 8K-token window and lossy vector truncation.
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Google will give vetted defenders and its own teams a Gemini 4 Argon build with no cyber guardrails, saying the model finds and patches critical flaws unaided. Wiz is the first named outside user, and the bug-finding evidence published so far comes from Google's own internal tests.
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Google's Gemini 4 Argon matches GPT-6.1 Sol's $2/$10 token price but costs 2.7 times as much per task, according to Artificial Analysis. Argon uses more tokens per job, so buyers still have to compare frontier models by cost per completed task.
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Google DeepMind's SynthIDBio hides a watermark in AI-designed proteins that a detector reads near-perfectly without weakening how they bind. The authors call it a proof of concept, and a determined user can still scrub the mark by rerunning a design through another tool.
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Google DeepMind says the model resolves temperature at 5 kilometres and updates every hour, and it hands the headline accuracy claim to an outside evaluator, Brightband, whose scores the announcement does not publish.
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Gemini Omni 1.1 Flash generates video with audio and accepts revisions as plain sentences, with the edit chain held server-side by interaction id. The ceiling on a finished clip is 40 seconds, and no eval came with it.
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