

On Google's Safety Plan
Apr 11, 2025
Dive into Google's intricate safety plan for artificial intelligence, where thoughtful critiques and praises illuminate the path forward. Explore the complex landscape of managing AI risks, from misuse to misalignment, advocating for proactive governance. The podcast delves into the critical need for aligning Artificial General Intelligence with human values, tackling the challenges of deceptive alignment and evolving oversight. It vividly highlights the ethical dilemmas posed by artificial superintelligence and the risk management strategies to safeguard our future.
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Episode notes
Core Assumptions on AI Progress
- Google's explicit core assumptions include no human ceiling on AI capabilities and no large discontinuous jumps in AI progress.
- The assumption of gradual capability improvement enables iterative testing and staged planning strategies.
Risks of Discontinuous AI Progress
- Google assumes AI capability will improve continuously but recognizes potential sudden threshold effects.
- Sudden large discontinuous jumps could disrupt safety plans, so they require a backup alarm strategy.
Centralized Development Risk Assumption
- Google focuses on centralized AI development as the main source of dangerous capabilities.
- If bad actors recreate components independently, access blocking and mitigations may become ineffective.