DeepMind announces Genie 4 real-time world model with native audio
A research preview goes to trusted testers first, then Google AI Ultra subscribers in Project Genie and early Gemini API partners.
A research preview goes to trusted testers first, then Google AI Ultra subscribers in Project Genie and early Gemini API partners.
Attackers phished MFA codes, linked foreign projects to victim billing, and kept Gemini prompts hidden from the organization.
Google made Gemini 4 Argon generally available, with independent benchmarks placing it near rival frontier models.
Google opened Gemini 4 Argon on the paid API, a sparse MoE model with a combined 1M-token window.
llm-gemini 0.35 adds Gemini 4 Argon, priced at $2 and $10 per million tokens.
Google's September recap centers on Gemini 4 Argon, a million-token frontier model for cybersecurity defense via the Fairwind Program.
Gemini 4 Argon ties GPT-6 Astra on an independent index but still trails Anthropic's top Claude models.
Google released Gemini 3.8 Flash TTS and Flash-Lite TTS for designed, cloned, and multilingual synthetic voices.
Google released Gemini 3.8 Flash TTS models; Simon Willison published a bring-your-own-key playground.
Google released Gemini 3.8 Flash TTS and Flash-Lite TTS for expressive multilingual speech generation.
Google DeepMind introduced Gemini 3.8 Flash and Flash-Lite text-to-speech models for expressive audio.
TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.
Google released Gemini 3.8 Flash with a security-focused Cyber variant that produces 2.6x more correct patches and found a critical vulnerability in under two hours.
Google DeepMind launches agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite, cutting video-analysis tokens up to 88%.
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