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.