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← Rate of iteration separates success from failure: a competitor…
17 connected korrents · 15 moments on record from 3 Nov 2008 to 15 Aug 2026.
Everything filed under energy
energy
Everything filed under reinforcement learning
reinforcement learning
Everything filed under nuclear power
nuclear power
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Read this korrent: Rate of iteration separates success from failure: a competitor learning one thing a month will never matter to a company learning one thing a week.
Rate of iteration separates success from failure: a competitor learning one thing a month will never matter to a company learning one thing a week.
Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: You only fail if you stop; iteration that keeps going is not failure, it is learning. — tap to centre the map on it
You only fail if you stop; iteration that keeps going is not failure, it is learning.
Last stated 3 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — tap for who they are
Same subject: Iteration speed is the decisive factor in making a game: a team that rebuilds every day ends up far better than one that rebuilds every week. — tap to centre the map on it
Iteration speed is the decisive factor in making a game: a team that rebuilds every day ends up far better than one that rebuilds every week.
Last stated a year ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: Roadmapping and pure iteration are both failure modes; a product team has to keep stretching out to strategy and compressing back into shipping. — tap to centre the map on it
Roadmapping and pure iteration are both failure modes; a product team has to keep stretching out to strategy and compressing back into shipping.
Last stated a month ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving. — tap to centre the map on it
Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving.
Last stated a month ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one. — tap to centre the map on it
No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one.
Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Feedback should be a daily practice rather than a twice-yearly review, because the team that improves one percent a week overtakes the team that improves one percent a month. — tap to centre the map on it
Feedback should be a daily practice rather than a twice-yearly review, because the team that improves one percent a week overtakes the team that improves one percent a month.
Last stated 12 months ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well. — tap to centre the map on it
After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well.
Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding. — tap to centre the map on it
Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding.
Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: "Food from thin air" is not from thin air: it runs on water, minerals, ammonia and industrial plant. — tap to centre the map on it
"Food from thin air" is not from thin air: it runs on water, minerals, ammonia and industrial plant.
Last stated 2 months ago
30 Jun 2026
CS
Chris Smaje — holds since 2026-06-30 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Last stated 3 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A future of constrained energy will need more people working the land, and that is not the same as going back to the past. — tap to centre the map on it
A future of constrained energy will need more people working the land, and that is not the same as going back to the past.
Last stated 2 months ago
30 Jun 2026
CS
Chris Smaje — holds since 2026-06-30 — 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: American manufacturing output cannot meaningfully rise without first building large amounts of new electricity generation. — tap to centre the map on it
American manufacturing output cannot meaningfully rise without first building large amounts of new electricity generation.
Last stated a year ago
6 Apr 2025
MH
Molson Hart — holds since 2025-04-06 — tap for who they are
Same subject: Europe cannot meet its energy needs from renewables alone and will need nuclear power, solar power from deserts elsewhere, or both. — tap to centre the map on it
Europe cannot meet its energy needs from renewables alone and will need nuclear power, solar power from deserts elsewhere, or both.
Last stated 18 years ago
3 Nov 2008
DM
David MacKay — holds since 2008-11-03 — tap for who they are
Same subject: Most nuclear companies will not have this solved by 2031, and many still will not by 2035, because they have the wrong mindset. — tap to centre the map on it
Most nuclear companies will not have this solved by 2031, and many still will not by 2035, because they have the wrong mindset.
Last stated 3 weeks ago
15 Aug 2026
IT
Isaiah Taylor — holds since 2026-08-15 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2008 to today (stretched back to the oldest claim here) — full is today a face: someone on record holding the claim — tap it for who they are
At the centre
Rate of iteration separates success from failure: a competitor learning one thing a month will never matter to a company learning one thing a week.
Last stated 7 Aug 2026 · a month ago
Holds MH Max Hodak
Read this korrent →
Similar wording
You only fail if you stop; iteration that keeps going is not failure, it is learning.
Last stated 7 Jun 2026 · 3 months ago
Holds TF Tony Fadell
Similar wording
Iteration speed is the decisive factor in making a game: a team that rebuilds every day ends up far better than one that rebuilds every week.
Last stated 30 Apr 2025 · a year ago
Holds TS Tim Sweeney
Similar wording
Roadmapping and pure iteration are both failure modes; a product team has to keep stretching out to strategy and compressing back into shipping.
Last stated 2 Aug 2026 · a month ago
Holds TV Tom Verrilli
Similar wording
Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving.
Last stated 30 Jul 2026 · a month ago
Holds JD Jeff Dean
Similar wording
No person learns the way RL does: a human reviews which parts of an attempt were good instead of rewarding every step of a lucky one.
Last stated 17 Oct 2025 · 11 months ago
Holds Andrej Karpathy
Similar wording
Feedback should be a daily practice rather than a twice-yearly review, because the team that improves one percent a week overtakes the team that improves one percent a month.
Last stated 21 Sept 2025 · 12 months ago
Holds JZ Julie Zhuo
Similar wording
After a defeat people want encouragement, not a list of their mistakes — so a learning product should lead with what the user did well.
Last stated 5 Oct 2025 · 11 months ago
Holds AC Albert Cheng
Similar wording
Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding.
Last stated 5 Oct 2025 · 11 months ago
Holds AC Albert Cheng
Same subject: energy
"Food from thin air" is not from thin air: it runs on water, minerals, ammonia and industrial plant.
Last stated 30 Jun 2026 · 2 months ago
Holds CS Chris Smaje
Same subject: energy
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Last stated 4 Jun 2026 · 3 months ago
Holds AI Alex Imas
Same subject: energy
A future of constrained energy will need more people working the land, and that is not the same as going back to the past.
Last stated 30 Jun 2026 · 2 months ago
Holds CS Chris Smaje
Same subject: reinforcement learning
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 17 Nov 2025 · 10 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
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 20 Mar 2026 · 6 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving.
Last stated 17 Oct 2025 · 11 months ago
Holds Andrej Karpathy
Same subject: nuclear power
American manufacturing output cannot meaningfully rise without first building large amounts of new electricity generation.
Last stated 6 Apr 2025 · a year ago
Holds MH Molson Hart
Same subject: nuclear power
Europe cannot meet its energy needs from renewables alone and will need nuclear power, solar power from deserts elsewhere, or both.
Last stated 3 Nov 2008 · 18 years ago
Holds DM David MacKay
Same subject: nuclear power
Most nuclear companies will not have this solved by 2031, and many still will not by 2035, because they have the wrong mindset.
Last stated 15 Aug 2026 · 3 weeks ago
Holds IT Isaiah Taylor