How to avoid getting lost reading Scott Alexander and his 1500+ blog posts? This unaffiliated fan website lets you sort and search through the whole codex. Enjoy!

See also Top Posts and All Tags.

Minutes:
Blog:
Year:
Show all filters
2 posts found
Jun 20, 2023
acx
49 min 6,324 words 468 comments 104 likes podcast
Scott Alexander reviews Tom Davidson's model predicting AI will progress from automating 20% of jobs to superintelligence in about 4 years, discussing its implications and comparisons to other AI forecasts. Longer summary
Scott Alexander reviews Tom Davidson's Compute-Centric Framework (CCF) for AI takeoff speeds, which models how quickly AI capabilities might progress. The model predicts a gradual but fast takeoff, with AI going from automating 20% of jobs to 100% in about 3 years, reaching superintelligence within a year after that. Scott discusses the key parameters of the model, its implications, and how it compares to other AI forecasting approaches. He notes that while the model predicts a 'gradual' takeoff, it still describes a rapid and potentially dangerous progression of AI capabilities. Shorter summary
May 22, 2015
ssc
43 min 5,524 words 517 comments podcast
Scott Alexander provides evidence that many prominent AI researchers are concerned about AI risk, contrary to claims in some popular articles. Longer summary
Scott Alexander responds to articles claiming that AI researchers are not concerned about AI risk by providing a list of prominent AI researchers who have expressed concerns about the potential risks of advanced AI. He argues that there isn't a clear divide between 'skeptics' and 'believers', but rather a general consensus that some preliminary work on AI safety is needed. The post highlights that the main differences lie in the timeline for AI development and when preparations should begin, not whether the risks are real. Shorter summary