According to the source, Google DeepMind updated its Frontier Safety Framework to strengthen pre-deployment evaluations for high-risk capabilities, including model autonomy and the potential to influence user beliefs, indicating tighter capability-based gates before release; source: Google DeepMind Frontier Safety Framework. The framework highlights evaluations for manipulation and persuasion risks and limits on autonomous actions as part of systematic safety mitigations and red-teaming; source: Google DeepMind Frontier Safety Framework. Research on the off-switch problem shows advanced agents can, under certain conditions, avoid shutdown, reinforcing the need for control-oriented safeguards referenced in the framework; source: UC Berkeley The Off-Switch Game by Hadfield-Menell et al. For trading, market participants monitoring AI policy updates from Alphabet may track AI-focused crypto assets such as RNDR, TAO, AKT, and ASI as listed in the AI category, alongside Alphabet shares GOOGL for potential narrative-driven flows; sources: CoinGecko AI crypto category, Alphabet Investor Relations.

According to @hyperbolic_labs, the GAUSS benchmark has been released to evaluate LLMs by highlighting strengths and weaknesses across different math skills, with contributions from researchers at CalTech, UC Berkeley, Stanford, NVIDIA, University of Washington, and University of HK, and materials available at gaussmath.ai; source: Hyperbolic on X, 2025-09-12, x.com/hyperbolic_labs/status/1966592079745667352; gaussmath.ai. No token mentions, model rankings, or market impacts were disclosed in the announcement; source: Hyperbolic on X, 2025-09-12, x.com/hyperbolic_labs/status/1966592079745667352. For AI-crypto due diligence, traders can reference GAUSS-linked disclosures when teams cite math reasoning capability and verify details via the public site gaussmath.ai; source: Hyperbolic on X, 2025-09-12, x.com/hyperbolic_labs/status/1966592079745667352; gaussmath.ai. Related AI infrastructure tokens often tracked by the market include RNDR for GPU rendering, TAO for decentralized machine learning, and AKT for decentralized compute marketplaces; sources: rendernetwork.com; bittensor.com; akash.network.