Epistemic status: pretty confident in the validity of the core proposal, not that confident in specific implementation details TL;DR: we should cryptographically verify that sub-agent instances/sessions are downstream of human instructions Frontier AI labs have started using LLM-based monitoring systems to check for misbehavior from their internal AI agents, which...
TL;DR * On 18 real tasks from two large open-source repositories, early-2025 AI agents often implement functionally correct code that cannot be easily used as-is, because of issues with test coverage, formatting/linting, or general code quality. * This suggests that automatic scoring used by many benchmarks may overestimate AI agent...
TL;DR We designed an ambitious scalable oversight experimental setup, where we had people with no coding/programming experience try to answer coding questions (“Which of these two outputs is the correct output of the given function on this input?”), using LLMs that debate or are arguing for the correct/incorrect answer 50%...