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← What moves a listener is not the song alone but a human being…
17 connected korrents · 17 moments on record from 24 Feb 2018 to 26 Aug 2026.
Everything filed under AI and human skill
AI and human skill
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under robotics
robotics
Everything filed under LLMs
LLMs
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: What moves a listener is not the song alone but a human being straining against their own limits, which is why a machine can write a good song and never a great one. What moves a listener is not the song alone but a human being straining against their own limits, which is why a machine can write a good song and never a great one. Last stated 8 years ago
23 Jan 2019
NC
Nick Cave — holds since 2019-01-23 — tap for who they are
Same subject: Songs come out of suffering, and a system that has endured nothing has nothing to make one from. — tap to centre the map on it Songs come out of suffering, and a system that has endured nothing has nothing to make one from. Last stated 4 years ago
16 Jan 2023
NC
Nick Cave — holds since 2023-01-16 — tap for who they are
Same subject: AI should be treated as an instrument to play rather than a tool to use, because there is no purpose to better machines if they do not also produce better humans. — tap to centre the map on it AI should be treated as an instrument to play rather than a tool to use, because there is no purpose to better machines if they do not also produce better humans. Last stated 11 months ago
20 Oct 2025
FC
Frank Chimero — holds since 2025-10-20 — tap for who they are
Same subject: What survives of podcasting once AI delivers information better is the part where you watch a human struggle with it. — tap to centre the map on it What survives of podcasting once AI delivers information better is the part where you watch a human struggle with it. Last stated a year ago
5 Jun 2025
LF
Lex Fridman — holds since 2025-06-05 — tap for who they are
Same subject: Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. — tap to centre the map on it Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data. — tap to centre the map on it Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data. Last stated 4 weeks ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception. — tap to centre the map on it Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception. Last stated 9 years ago
24 Feb 2018
PC
Paul Christiano — holds since 2018-02-24 — tap for who they are
Same subject: The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true. — tap to centre the map on it The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true. Last stated 2 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: Orchestrators that try to automate the whole build miss style, love and the human touch, and that cannot be automated away yet. — tap to centre the map on it Orchestrators that try to automate the whole build miss style, love and the human touch, and that cannot be automated away yet. Last stated 7 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: AI can be a shortcut around thinking or a way of thinking more rigorously, and for your core job function only the second one is wanted. — tap to centre the map on it AI can be a shortcut around thinking or a way of thinking more rigorously, and for your core job function only the second one is wanted. Last stated 4 weeks ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer. — tap to centre the map on it Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer. Last stated 3 weeks ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: In ten years few people will be able to write, or want to read, anything longer than a page or two — and the few who still can will be powerful. — tap to centre the map on it In ten years few people will be able to write, or want to read, anything longer than a page or two — and the few who still can will be powerful. Last stated 3 weeks ago
21 Aug 2026
PG
Paul Graham — holds since 2026-08-21 — 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 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: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
At the centre
What moves a listener is not the song alone but a human being straining against their own limits, which is why a machine can write a good song and never a great one.
Holds NC Nick CaveRead this korrent →
Songs come out of suffering, and a system that has endured nothing has nothing to make one from.
Holds NC Nick Cave
AI should be treated as an instrument to play rather than a tool to use, because there is no purpose to better machines if they do not also produce better humans.
Holds FC Frank Chimero
What survives of podcasting once AI delivers information better is the part where you watch a human struggle with it.
Holds LF Lex Fridman
Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one.
Holds NL Nathan Lambert
Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data.
Holds CF Chelsea Finn
Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception.
Holds PC Paul Christiano
The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true.
Holds
Orchestrators that try to automate the whole build miss style, love and the human touch, and that cannot be automated away yet.
Holds
AI can be a shortcut around thinking or a way of thinking more rigorously, and for your core job function only the second one is wanted.
Holds CM Charity Majors
Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer.
Holds AO Addy Osmani
In ten years few people will be able to write, or want to read, anything longer than a page or two — and the few who still can will be powerful.
Holds
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 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
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds JH Jensen Huang