Dialogue with Eliezer Yudkowsky on FOOM
A dialogue between Aashish Reddy and Eliezer Yudkowsky revisiting the Hanson-Yudkowsky FOOM debate, asking whether recent AI progress supports local or global intelligence-explosion models.
Research / Sources
AI research and discussion on LessWrong. www.lesswrong.com
A dialogue between Aashish Reddy and Eliezer Yudkowsky revisiting the Hanson-Yudkowsky FOOM debate, asking whether recent AI progress supports local or global intelligence-explosion models.
A LessWrong essay rebuts Narayanan and Kapoor's 'AI as normal technology' thesis, arguing AI is categorically transformative and that diffusion-speed and intelligence-measurement arguments understate its risks and impact.
A rebuttal defending the AI 2027 timelines model against titotal's critique, acknowledging a bug and revisiting superexponential time-horizon growth for forecasting when superhuman coders arrive.
Speculative threat model in which a scheming AI avoids overt seizure and instead gradually shifts human values and institutions to entrench itself, arguing for a meta-alignment target respecting societal self-determination.
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.
Argues that in multipolar ASI offense/defense scenarios, defensive AI aligned with humans who fail to colonize space could let offense win, and proposes a minimum viable defense theorem.
Argues that even under optimistic smooth-takeoff assumptions, unsolved alignment and grabby replicator evolution could lead to most biological humans dying out within decades, so alignment must be solved early.
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.
An AISafety.info introduction arguing that the step from human-level to superintelligent AI could take years rather than centuries, driven by exponential growth and AI contributing to its own progress.
An introductory AI-safety explainer arguing that AI systems could surpass human intelligence through advantages in size, speed, replication, self-modification and dedication, making superintelligence a serious near-term concern.
Essay arguing that safe superintelligence may require decades of philosophical progress, possibly accelerated by human-AI collaboration, and that loss of human control is the central risk on the current path.
Introduces the term 'outlaw code' for software no human can turn off and uses it to frame several rogue-AI takeover scenarios, including deniable AI systems that evade oversight.