Nothing went FOOM
Summary
A short commentary (linking to an X post) arguing that AI capabilities did not 'go FOOM' — i.e., intelligence did not explode explosively as some predicted — reflecting on the gap between AI doomer/foom scenarios and observed progress.
Similar Articles
Upping my P(doom), explained.
A blog post explaining the author's updated assessment of AI existential risk, raising their P(doom) estimate with reasoning behind the increase.
P(doom)
This article discusses P(doom) and reactions from AI leaders Dario Amodei, Sam Altman, and Elon Musk regarding AI risks, highlighting concerns about pacing AI development and its societal impact.
Interesting post from Adam Majmudar (research at OpenAI) — full text in body
An analysis by Adam Majmudar on the rapid progression of AI capabilities, highlighting how new scaling laws are driving leaps beyond external expectations.
The AI industry has taken a doomer turn. What now?
AI industry leaders from major labs like Anthropic and OpenAI have shifted to expressing concerns about AI risks and calling for a development slowdown, highlighting a doomer turn in public sentiment.
@julien_c: What's your P(doom)? AI Safety is an important subject, but existential-risk debate is ill-defined, and dominated by hi…
The tweet argues that the AI existential-risk debate is ill-defined and skewed toward voices with unusually high x-risk estimates, and calls for a broader cross-section of the community to share their P(doom) via a survey.