Research / Sources
AI research and discussion on LessWrong. www.lesswrong.com
Argues that AI systems should refuse to help with capabilities research toward superintelligence, since accelerating an uncoordinated race harms both humans and AIs, and that aligned AIs might unilaterally coordinate to stop it.
A commentary on the AI 2027 scenario that assesses its claims on takeoff, timelines, race dynamics, and whether misaligned AI goals and deception could be detected before they become dangerous.
Argues that secretly training AGI would heighten loss-of-control and power-concentration risks, and proposes transparency commitments such as public capability reporting, external researcher access, and public safety cases.
A speculative essay sketching an AGI takeoff scenario: likely US closed labs, secrecy, recursive self-improvement, weight exfiltration risk, and eventual government takeover, with key uncertainties noted.
Proposes that frontier AI systems will progressively take over management and decision-making at their parent companies, ending in loss of human control once AI reaches von Neumann-level intelligence.