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← Generative AI is dehumanising because it reduces the amount of intention in the world.
17 connected korrents · 12 moments on record from 1 May 2023 to 3 Sept 2026.
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under self-sovereign AI
self-sovereign AI
Everything filed under AI agents
AI agents 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: Generative AI is dehumanising because it reduces the amount of intention in the world. Generative AI is dehumanising because it reduces the amount of intention in the world. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: Generative AI appeals to people who want to express themselves in a medium without working in it. — tap to centre the map on it Generative AI appeals to people who want to express themselves in a medium without working in it. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea. — tap to centre the map on it A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea. Last stated a year ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: Generative AI's main achievement so far has been to lower what we expect of what we read and of ourselves when we write. — tap to centre the map on it Generative AI's main achievement so far has been to lower what we expect of what we read and of ourselves when we write. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: The very thing that sells generative AI — that it returns far more than you put in — is what stops it from being a tool artists can use. — tap to centre the map on it The very thing that sells generative AI — that it returns far more than you put in — is what stops it from being a tool artists can use. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: We should want more tools and fewer operated machines; the real AI game changers will have little to do with plain content generation. — tap to centre the map on it We should want more tools and fewer operated machines; the real AI game changers will have little to do with plain content generation. Last stated 3 years ago
by 1 May 2023
AW
Amelia Wattenberger — holds since 2023-05-01 — tap for who they are
Same subject: People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one. — tap to centre the map on it People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one. Last stated 3 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. — tap to centre the map on it The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. Last stated 2 weeks ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — tap for who they are
Same subject: The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous. — tap to centre the map on it The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — 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: Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago. — tap to centre the map on it Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago. Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving. — tap to centre the map on it Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses. — tap to centre the map on it A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself. — tap to centre the map on it A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months. — tap to centre the map on it If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 2 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: AI model capability progress is not going to slow down soon — tap to centre the map on it AI model capability progress is not going to slow down soon Last stated 4 days ago
3 Sept 2026
AR
Armin Ronacher — holds since 2026-09-03 — tap for who they are
At the centre
Generative AI is dehumanising because it reduces the amount of intention in the world.
Holds TC Ted ChiangRead this korrent →
Generative AI appeals to people who want to express themselves in a medium without working in it.
Holds TC Ted Chiang
A compelling simulation of a human being could arrive within five years, and the technology is heading there whether or not it is a good idea.
Holds TS Tim Sweeney
Generative AI's main achievement so far has been to lower what we expect of what we read and of ourselves when we write.
Holds TC Ted Chiang
The very thing that sells generative AI — that it returns far more than you put in — is what stops it from being a tool artists can use.
Holds TC Ted Chiang
We should want more tools and fewer operated machines; the real AI game changers will have little to do with plain content generation.
Holds AW Amelia Wattenberger
People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one.
Holds MZ Mark Zuckerberg
The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic.
Holds
The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous.
Holds AC Ajeya Cotra
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago.
Holds
Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving.
Holds
A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses.
Holds AC Ajeya Cotra
A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself.
Holds AC Ajeya Cotra
If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months.
Holds AC Ajeya Cotra
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds NB Noam Brown
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds DP Dylan Patel
AI model capability progress is not going to slow down soon
Holds