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← Over time the allocation of humans to tasks will evolve so that more humans become more productive, not less.
17 connected korrents · 18 moments on record from 7 Sept 2008 to 14 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under neural networks
neural networks
Everything filed under measuring intelligence
measuring intelligence
Everything filed under AI and jobs
AI and jobs
Everything filed under AI and human skill
AI and human skill
Everything filed under evolutionary biology
evolutionary biology 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: Over time the allocation of humans to tasks will evolve so that more humans become more productive, not less. Over time the allocation of humans to tasks will evolve so that more humans become more productive, not less. Last stated yesterday
14 Sept 2026
TC
Tyler Cowen — holds since 2026-09-14 — tap for who they are
Same subject: People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today. — tap to centre the map on it People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today. Last stated 2 years ago
9 Feb 2025
SA
Sam Altman — holds since 2025-02-09 — tap for who they are
Same subject: Humanity's advantage is accumulated shared knowledge rather than higher intelligence — and AI models, which vanish with their context window, have none of it. — tap to centre the map on it Humanity's advantage is accumulated shared knowledge rather than higher intelligence — and AI models, which vanish with their context window, have none of it. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Many occupations will eventually be mostly replaced by AI, but humans will still have plenty to do. — tap to centre the map on it Many occupations will eventually be mostly replaced by AI, but humans will still have plenty to do. Last stated a week ago
7 Sept 2026
NS
Noah Smith — holds since 2026-09-07 — tap for who they are
Same subject: The gap between chimps and humans is no evidence that a small increase in compute yields an explosion of capability, because evolution was not optimising chimps for technology. — tap to centre the map on it The gap between chimps and humans is no evidence that a small increase in compute yields an explosion of capability, because evolution was not optimising chimps for technology. Last stated 9 years ago
24 Feb 2018
PC
Paul Christiano — holds since 2018-02-24 — tap for who they are
Same subject: Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be. — tap to centre the map on it Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be. Last stated 10 months ago
18 Nov 2025
PG
Paul Graham — holds since 2024-10-01 — tap for who they are
SY
Scott H. Young — holds since 2025-11-18 — 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: Natural selection will strengthen the human preference for other humans rather than erode it, because the people who resist outsourcing their social life are the ones who find mates. — tap to centre the map on it Natural selection will strengthen the human preference for other humans rather than erode it, because the people who resist outsourcing their social life are the ones who find mates. Last stated 3 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: The productivity AI creates should be shared out as a universal basic provision, with rare skills still buying you more than that. — tap to centre the map on it The productivity AI creates should be shared out as a universal basic provision, with rare skills still buying you more than that. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — 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 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model. — tap to centre the map on it A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model. Last stated 2 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. — tap to centre the map on it If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. — tap to centre the map on it Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience. — tap to centre the map on it Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 10 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. — tap to centre the map on it Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. Last stated 3 years ago
24 Jun 2023
YB
Yoshua Bengio — holds since 2023-06-24 — tap for who they are
Same subject: Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. — tap to centre the map on it Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
At the centre
Over time the allocation of humans to tasks will evolve so that more humans become more productive, not less.
Holds TC Tyler CowenRead this korrent →
People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today.
Holds
Humanity's advantage is accumulated shared knowledge rather than higher intelligence — and AI models, which vanish with their context window, have none of it.
Holds NB Noam Brown
Many occupations will eventually be mostly replaced by AI, but humans will still have plenty to do.
Holds
The gap between chimps and humans is no evidence that a small increase in compute yields an explosion of capability, because evolution was not optimising chimps for technology.
Holds PC Paul Christiano
Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be.
Holds SY Scott H. Young
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 SA Scott Aaronson
Natural selection will strengthen the human preference for other humans rather than erode it, because the people who resist outsourcing their social life are the ones who find mates.
Holds AI Alex Imas
The productivity AI creates should be shared out as a universal basic provision, with rare skills still buying you more than that.
Holds DH Demis Hassabis
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 DH Dex Horthy
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Holds FL Fei-Fei Li
A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Holds
If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks.
Holds
Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.
Holds NL Nathan Lambert
Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.
Holds
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Holds DH Demis Hassabis