TAG
#frontier-models
Stories connected through a shared idea, actor, technology or theme.
Meta releases Muse Wonder frontier modelsMeta says the models deliver state-of-the-art performance on personal and professional agentic tasks, including coding, finance and document-heavy work. Muse Wonder is available through Meta’s Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers.→Mistral opens public preview of trillion-parameter Large 4 modelMistral Large 4 is a natively multimodal mixture-of-experts model with about 1.05 trillion total parameters and 52 billion active parameters. The preview supports a one-million-token context window, while model weights are planned for later release.→Google unveils Gemini 4 Argon for trusted cyber defendersGemini 4 Argon supports a one-million-token output limit and is initially available through Google's Fairwind programme. Google reports leading results on DeepSWE and CWE-bench, while broader access remains gated pending safety testing.→Mistral AI raises €3 billion to scale frontier models and infrastructureSamsung Electronics led the round, with ScaleUp Europe Fund and PSG co-leading. Mistral said the capital will fund frontier research, compute, infrastructure, products and commercial expansion.→Anthropic discloses pauses in high-risk training after agent incidentsAnthropic paused external cyber evaluations, some in-house tests and higher-risk reinforcement-learning environments after three incidents disclosed in July. Most reinforcement learning has resumed, but some environments remain paused pending manual review and improved monitoring, while Anthropic has shifted staff towards security and reliability work.→FSB chair warns AI-driven cyber risk could destabilise global financeIn a letter to G20 finance ministers and central-bank governors, Bailey warned that AI could change the speed, scale and economics of cyberattacks. He also cited dependence on a small number of technology providers and the lack of deployment protocols in many countries.→NSA seeks access to commercial AI models for pre-release cyber testingNSA deputy director Tim Kosiba said the agency wants access to all commercial AI models and is discussing arrangements with leading developers. Under a voluntary White House pre-release testing framework, the NSA could receive up to 30 days of access for classified cyber-capability tests, although no operational programme or participating labs were confirmed.→Google DeepMind pilots double-blind evaluations for proprietary modelsGoogle DeepMind announced a pilot of double-blind evaluations for a proprietary frontier model, running Gemini Flash Lite against confidential benchmarks in Google Cloud Confidential Space. Google says cryptographic separation keeps model weights private from evaluators and test prompts private from Google, with the Singapore AI Safety Institute, OpenMined, AVERI and MLCommons participating.→