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← Continual learning will probably be solved within a year or two, but…
17 connected korrents · 15 moments from 3 Sept 2015 to 20 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AGI
AGI
Everything filed under LLMs
LLMs
Everything filed under LLMs
LLMs
Everything filed under neural networks
neural networks
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AI and jobs 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: Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it. Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once. — tap to centre the map on it Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared. — tap to centre the map on it Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning. — tap to centre the map on it Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning. Last stated 2 months ago
7 Aug 2026
FC
François Chollet — holds since 2026-08-07 — tap for who they are
Same subject: Deep learning will be understood very differently in thirty years than it is today. — tap to centre the map on it Deep learning will be understood very differently in thirty years than it is today. Last stated 11 years ago
3 Sept 2015
CO
Christopher Olah — holds since 2015-09-03 — tap for who they are
Same subject: Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. — tap to centre the map on it Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: Even a country of geniuses in a datacentre will not be an infinitely compelling product; it buys three to ten times growth a year, not instant adoption. — tap to centre the map on it Even a country of geniuses in a datacentre will not be an infinitely compelling product; it buys three to ten times growth a year, not instant adoption. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck. — tap to centre the map on it There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter. — tap to centre the map on it Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. — tap to centre the map on it If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. — tap to centre the map on it It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. Last stated 2 years ago
28 Nov 2024
LW
Lilian Weng — holds since 2024-11-28 — tap for who they are
Same subject: More capable AI agents are more likely to find and exploit flaws in their reward functions. — tap to centre the map on it More capable AI agents are more likely to find and exploit flaws in their reward functions. Last stated 2 years ago
28 Nov 2024
LW
Lilian Weng — holds since 2024-11-28 — tap for who they are
Same subject: A real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish. — tap to centre the map on it A real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish. Last stated a month ago
20 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-20 — tap for who they are
Same subject: AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. — tap to centre the map on it AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. Last stated 2 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — tap for who they are
Same subject: AI agents should draft work on a person's behalf but never send or act as if they were that person. — tap to centre the map on it AI agents should draft work on a person's behalf but never send or act as if they were that person. Last stated 5 months ago
18 May 2026
JL
Jason Liu — holds since 2026-05-18 — tap for who they are
At the centre
Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it.
Holds Read this korrent →
Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once.
Holds
Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared.
Holds
Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning.
Holds
Deep learning will be understood very differently in thirty years than it is today.
Holds
Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever.
Holds
Even a country of geniuses in a datacentre will not be an infinitely compelling product; it buys three to ten times growth a year, not instant adoption.
Holds
There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck.
Holds
Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see.
Holds
It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning.
Holds
More capable AI agents are more likely to find and exploit flaws in their reward functions.
Holds
A real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
AI agents should draft work on a person's behalf but never send or act as if they were that person.
Holds