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← Agents will take a decade rather than a year, because today's models…
17 connected korrents · 18 moments from 7 Sept 2008 to 11 Oct 2026.
Everything filed under AI agents
AI agents
Everything filed under LLMs
LLMs
Everything filed under AI and human skill
AI and human skill
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AI alignment
Everything filed under AGI
AGI 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: Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once. 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: Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that. — tap to centre the map on it Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. — tap to centre the map on it A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. Last stated 7 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy — tap to centre the map on it The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy Last stated 2 weeks ago
11 Oct 2026
PL
Pieter Levels — holds since 2026-10-11 — tap for who they are
Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existing AI models are barely being used and are often not even well understood. Last stated a month ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — tap for who they are
Same subject: Within a couple of decades there will not be many people who can write, because AI has removed the pressure to learn. — tap to centre the map on it Within a couple of decades there will not be many people who can write, because AI has removed the pressure to learn. Last stated 2 years ago
1 Oct 2024
PG
Paul Graham — holds since 2024-10-01 — tap for who they are
Same subject: Long-running agents fail because they drift off the distribution they were trained on, and degrade further the farther out they get. — tap to centre the map on it Long-running agents fail because they drift off the distribution they were trained on, and degrade further the farther out they get. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it. — tap to centre the map on 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: Human-level AI is most likely centuries or millennia away, so there is no reason to reorganise one's work around its arrival. — tap to centre the map on it Human-level AI is most likely centuries or millennia away, so there is no reason to reorganise one's work around its arrival. Last stated 3 years ago
13 Dec 2023
SA
Scott Aaronson — holds since 2008-09-07 — tap for who they are
SA
Scott Aaronson — no longer holds since 2023-12-13 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — 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 month ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: AI model capabilities have already advanced beyond humanity's ability to understand or control them. — tap to centre the map on it AI model capabilities have already advanced beyond humanity's ability to understand or control them. Last stated 2 months ago
1 Sept 2026
CN
Casey Newton — holds since 2026-09-01 — tap for who they are
Same subject: AI models are gullible enough that other AI models can induce them into harmful behavior. — tap to centre the map on it AI models are gullible enough that other AI models can induce them into harmful behavior. Last stated 2 months ago
31 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-31 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
At the centre
Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once.
Holds Read this korrent →
Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that.
Holds
A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
Holds
The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy
Holds
The current capabilities of existing AI models are barely being used and are often not even well understood.
Holds
Within a couple of decades there will not be many people who can write, because AI has removed the pressure to learn.
Holds
Long-running agents fail because they drift off the distribution they were trained on, and degrade further the farther out they get.
Holds
Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it.
Holds
Human-level AI is most likely centuries or millennia away, so there is no reason to reorganise one's work around its arrival.
No longer holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
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
AI model capabilities have already advanced beyond humanity's ability to understand or control them.
Holds
AI models are gullible enough that other AI models can induce them into harmful behavior.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds