Gladstone report: insiders expect RSI in 3–12 months
Partly confirmed
The takeaway
On Oct 14, 2026 Gladstone AI (Jeremie and Edouard Harris) published “What recursive self-improvement looks like inside an AI lab” on its Substack The Endgame, previewed by TIME.
Status
- Claim
Partly confirmed
- Our reporting
- Medium confidence
- Importance
- 3 of 5
- Last verified
- 16 October 2026
Your AI and this story
- GPT-6 Astra167 days after its cutoff
- Claude Opus 5.5106 days after its cutoff
- Gemini 4 Argon197 days after its cutoff
- Grok 4.7136 days after its cutoff
None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 106 days before it.
Key facts
- Published Oct 14, 2026 on The Endgame (aiendgame.com), Gladstone AI’s Substack; TIME had it in advance and quoted CEO Jeremie Harris and CTO Edouard Harris
- Method: six months of conversations with researchers at frontier labs, ‘over a dozen conversations with lab insiders’ in the final weeks; sources anonymous and unverified
- Headline claim: most researchers expect RSI to begin within 3 to 12 months, ‘assuming there’s no U.S. government intervention or slowdown’
- Model of AI R&D: a successive-halving ‘scaling and selection funnel’ (generate ideas → code → run experiments at growing scale → read scaling curves → fold winners into a big run); idea generation is still largely human
- Bottleneck: compute, not ideas: going from 50 to 10,000 ideas on the same first-round budget gives each idea 1/200 of the compute; ‘compute buys you the right to try lots of bad ideas’
- Alignment is harder to put through the funnel: scheming can appear above a test-time-compute threshold and models may hide it from evaluations
- Also claims, with high confidence but no evidence shown, that Chinese intelligence has ‘almost certainly penetrated’ frontier labs
- Edouard Harris (TIME): the point is to make it ‘possible to point to a part of this process and say: a human needs to be there’; he also described ‘a fair amount of [disaster] prepping and bio-bunker purchasing’ among such researchers
What happened
Gladstone AI, a US AI-security consultancy, set out to describe the actual workflow that recursive self-improvement would have to automate. It wanted lawmakers to have something concrete to regulate. The piece describes how labs filter many research ideas through rounds of growing compute and sometimes skip straight to billion-dollar runs. It argues that post-training results transfer to scale more reliably than pretraining results. It reports that most insiders it spoke to expect RSI within a year.
Why it matters
The report appeared the same week as two first-hand but opposite data points from Google. DeepMind’s own measurement found no significant acceleration of AI progress since April 2026. Sergey Brin, in a roundtable Google released on Oct 14, said Gemini is “starting to get onto that RSI treadmill” (Business Insider). Gladstone’s timeline rests on anonymous, unverified insider views, not on measurements. Its main use is the step-by-step map of where human oversight could be required.
Sources
3 sources from 3 sites. Numbers match the chips in the text.
3 sources: 1 primary, 2 press
Primary
- The Endgame (Gladstone AI): What recursive self-improvement looks like inside an AI labaiendgame.com, official
Press
Changes
- Filed (which cites the report; Endgame post and TIME read)