Understanding AI dissects Yudkowsky's new book: the case for AI doom isn't convincing
binarybits · x · 2026-09-22
Timothy B. Lee reviews Eliezer Yudkowsky and Nate Soares's new book If Anyone Builds It, Everyone Dies at Understanding AI. He notes the striking fact that insiders like Dario Amodei ("25% chance things go really badly") and Sam Altman take existential risk seriously, then lays out the doom argument's three steps: superhuman AI is coming, it will gain real-world power, and we can't ensure it's used for good. Lee finds skeptics of step one too complacent, but disputes the later steps, and warns that lab insiders' opinions suffer from motivated reasoning.
Related event: Understanding AI critiques Yudkowsky's AI doom argument(3 posts)→
More from AGI Musings
- NYU Tandon hires performative prediction researcher Juan Carlos Perdomo as assistant professor — thegautamkamath · 2026-09-22
- Alignment is a continual learning problem: AI models must be 'raised' with feedback — apsarathchandar · 2026-09-22
- Richard Socher: Coding Is Symbolic Reasoning, So the LLM Critique Misses the Point — RichardSocher · 2026-09-22
- Richard Socher: AI Hard-Takeoff Scenarios Underestimate Physical-World Bottlenecks — RichardSocher · 2026-09-22
- Google and DeepMind form an AI x Economy team to study AGI economics — soumitrashukla9 · 2026-09-22
- Hugging Face CEO: LLM APIs aren't the best AI approach for 90% of real-world use cases — multiply_matrix · 2026-09-22