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← Recursive self-improvement (RSI) may not lead to runaway…
17 connected korrents · 19 moments from 10 Jun 2022 to 27 Sept 2026. Nearly all of them are about recursive self-improvement .
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LLMs Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Recursive self-improvement (RSI) may not lead to runaway superintelligence without a major conceptual breakthrough. Recursive self-improvement (RSI) may not lead to runaway superintelligence without a major conceptual breakthrough. Last stated 5 days ago
27 Sept 2026
RN
Ramez Naam — holds since 2026-09-27 — tap for who they are
Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. Last stated 2 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are
Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory. — tap to centre the map on it Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory. Last stated 2 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. — tap to centre the map on it Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. Last stated 2 months ago
10 Aug 2026
FC
François Chollet — holds since 2026-08-10 — tap for who they are
Same subject: Human parity on discovery benchmarks like DiG-bench will be reached by mid-2027, marking the point where recursive self-improvement in AI seriously kicks off. — tap to centre the map on it Human parity on discovery benchmarks like DiG-bench will be reached by mid-2027, marking the point where recursive self-improvement in AI seriously kicks off. Last stated 2 months ago
17 Aug 2026
JC
Jack Clark — holds since 2026-08-17 — tap for who they are
Same subject: Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement. — tap to centre the map on it Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement. Last stated 3 weeks ago
14 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-14 — tap for who they are
Same subject: Recursive self-improvement has already started, because AI research itself is now being automated. — tap to centre the map on it Recursive self-improvement has already started, because AI research itself is now being automated. Last stated 3 weeks ago
13 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-13 — tap for who they are
JL
Jan Leike — holds since 2026-01-22 — tap for who they are
Same subject: Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence. — tap to centre the map on it Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence. Last stated 2 weeks ago
19 Sept 2026
NL
Nathan Lambert — holds since 2026-09-19 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. — tap to centre the map on it A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. Last stated 2 weeks ago
18 Sept 2026
BT
Ben Thompson — holds since 2026-09-18 — tap for who they are
Same subject: Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. — tap to centre the map on it Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. Last stated a year ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Same subject: Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. — tap to centre the map on it Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. Last stated 2 years ago
1 Apr 2025
HT
Helen Toner — holds since 2025-04-01 — tap for who they are
MB
Miles Brundage — holds since 2024-12-20 — tap for who they are
Same subject: AI loss-of-control risk could materialize within years, not decades — tap to centre the map on it AI loss-of-control risk could materialize within years, not decades Last stated 3 months ago
16 Jul 2026
MB
Miles Brundage — holds since 2026-07-16 — tap for who they are
Same subject: Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays. — tap to centre the map on it Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays. Last stated 4 years ago
10 Jun 2022
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
Same subject: Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. — tap to centre the map on it Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. Last stated 8 months ago
22 Jan 2026
JL
Jan Leike — holds since 2026-01-22 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. Last stated a week ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
At the centre
Recursive self-improvement (RSI) may not lead to runaway superintelligence without a major conceptual breakthrough.
Holds Read this korrent →
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Holds
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Holds
Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory.
Holds
Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop.
Holds
Human parity on discovery benchmarks like DiG-bench will be reached by mid-2027, marking the point where recursive self-improvement in AI seriously kicks off.
Holds
Internal models at top labs are improving faster than public ones and have begun early recursive self-improvement.
Holds
Recursive self-improvement has already started, because AI research itself is now being automated.
Holds
Recursive self-improvement in AI will mainly make existing model capability cheaper rather than raise peak intelligence.
Holds
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Holds
A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI.
Holds
Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us.
Holds
Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe.
Holds
AI loss-of-control risk could materialize within years, not decades
Holds
Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays.
Holds
Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds