Research / Sources
AI research and discussion on LessWrong. www.lesswrong.com
Proposes viewing many AI misalignments as spec and implementation bugs findable through coverage-driven verification and validation, while noting strategic deception resists this approach and needs separate diagnosis.
Applies Leveson's systems-safety thinking to AI loss of control, modelling how breaches at each oversight level can escalate into vicious cycles and how AI could also strengthen governance.
Argues that LLMs can now load human intent and values, so alignment is tractable but unsolved, citing InstructGPT, Constitutional AI, and emergent misalignment results.
Argues that the traditional Yudkowsky-style pivotal act requires suppressing humanity and proposes a non-coercive alternative: an aligned ASI demonstrates its power, then hands control back and promotes voluntary AI regulation.
Analyses whether intent-aligned defensive AI can counter takeover-level adversarial AI, proposing threat models, a three-pillar defense framework, and legal constraints, and concludes the offense-defense balance remains uncertain.