Eliezer Yudkowsky recalls crying when he realized deep learning scaling was working
JacquesThibs · x · 2026-09-14
A thread recalls that Eliezer Yudkowsky cried in the 2010s upon realizing deep learning and scaling would work, meaning he had less time than hoped. Eliezer himself confirms: he was frantically trying to make progress on the alignment problem, kept hitting a wall, and felt dread when told things were moving faster than expected, fearing there wouldn't be enough time.
More from AGI Musings
- Nina Schick: public distrusts regulators as much as AI labs — nobody can 'pace' AI — NinaDSchick · 2026-09-14
- Jensen Huang: next 2 decades of progress may exceed all of history combined — rohanpaul_ai · 2026-09-14
- Researcher: I'm less worried about AI x-risk than in 2022 — time to retire p(doom) — soumitrashukla9 · 2026-09-14
- GPT-4o psychosis snippets eerily resemble SCP wiki stories, likely in training data — code_star · 2026-09-14
- Vals AI: frontier labs shouldn't grade their own frontier; models may match researchers by Aug 2027 — JenniferHli · 2026-09-14
- Running Out of AI: How Usage Limits Give Ideas Time to Develop — danshipper · 2026-09-14