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Leopold Aschenbrenner
Leopold AschenbrennerAuthor of "Situational Awareness" (2024), which argues AGI by 2027 is strikingly plausible; former OpenAI superalignment researcher.
OPEN

We're on the path to individual training clusters costing $100s of billions by 2028, requiring power equivalent to a small/medium US state.

Situational Awareness · Jun 4, 2024 · source · archived snapshot

Admitted by the site's editor alone — Seeded by the site owner at launch; single-operator admission (ADR-0012).

Normalized claim
By 2028 a single AI training cluster will cost hundreds of billions of dollars and draw power comparable to a small US state.
Confidence
medium (55%)
Deadline
due Dec 31, 2028
Resolution rule
Hit if by end of 2028 a single training cluster with capital cost of at least $100 billion and at least 10 GW of power is operating, per the owner's disclosures or credible reporting (Bloomberg, The Information, SemiAnalysis). Miss otherwise.
Crowd vote
Vote to see the crowd.
Your call

Locked at the deadline. No odds, no money — just your record.

More from Leopold Aschenbrenner

AGI by 2027 is strikingly plausible. GPT-2 to GPT-4 took us from ~preschooler to ~smart high-schooler abilities in 4 years. Tracing trendlines in compute (~0.5 orders of magnitude or OOMs/year), algorithmic efficiencies (~0.5 OOMs/year), and "unhobbling" gains (from chatbot to agent), we should expect another preschooler-to-high-schooler-sized qualitative jump by 2027.

OPEN

I make the following claim: it is strikingly plausible that by 2027, models will be able to do the work of an AI researcher/engineer.

OPEN