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← The absence of a visible productivity jump from AI proves nothing,…
17 connected korrents · 15 moments on record from 23 Jul 2025 to 3 Sept 2026.
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innovation 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: The absence of a visible productivity jump from AI proves nothing, because a real ten percent uplift across the board would be impressive and almost invisible from outside. The absence of a visible productivity jump from AI proves nothing, because a real ten percent uplift across the board would be impressive and almost invisible from outside. Last stated 2 weeks ago
26 Aug 2026
CM
Casey Muratori — holds since 2026-08-26 — tap for who they are
Same subject: A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI. — tap to centre the map on it A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI. Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. — tap to centre the map on it There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — 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: The very large productivity gains from agents require working with them directly; putting another human in between is too slow to preserve the gain. — tap to centre the map on it The very large productivity gains from agents require working with them directly; putting another human in between is too slow to preserve the gain. Last stated 2 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: The personal computer made countless individual tasks easier without delivering the productivity gains everyone expected, and AI may go the same way. — tap to centre the map on it The personal computer made countless individual tasks easier without delivering the productivity gains everyone expected, and AI may go the same way. Last stated 2 months ago
29 Jun 2026
CN
Cal Newport — holds since 2026-06-29 — tap for who they are
Same subject: A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. — tap to centre the map on it A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. Last stated 7 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. — tap to centre the map on it An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: AI has already made sweeping mechanical changes cheap; the unsolved problem is getting the same productivity when adding features to an old, entangled codebase. — tap to centre the map on it AI has already made sweeping mechanical changes cheap; the unsolved problem is getting the same productivity when adding features to an old, entangled codebase. Last stated 5 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. Last stated 5 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. Last stated 4 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable. — tap to centre the map on it A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable. Last stated 3 weeks ago
14 Aug 2026
SP
Sunil Pai — holds since 2026-08-14 — tap for who they are
Same subject: A formal code of conduct is not worth adopting, because those became struggle-session processes; courtesy without one is what actually wins. — tap to centre the map on it A formal code of conduct is not worth adopting, because those became struggle-session processes; courtesy without one is what actually wins. Last stated a week ago
29 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-29 — tap for who they are
Same subject: Most of the Linux world is ambivalent or hostile to AI, which is fine, but it needs a camp that leans in all the way, and Omarchy will be it. — tap to centre the map on it Most of the Linux world is ambivalent or hostile to AI, which is fine, but it needs a camp that leans in all the way, and Omarchy will be it. Last stated 2 weeks ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — tap for who they are
Same subject: Omarchy could reasonably switch its packaging system to Nix. — tap to centre the map on it Omarchy could reasonably switch its packaging system to Nix. Last stated a week ago
29 Aug 2026
AR
Armin Ronacher — holds since 2026-08-29 — tap for who they are
DH
David Heinemeier Hansson — holds since 2026-08-27 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 4 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. — tap to centre the map on it A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. Last stated 5 days ago
2 Sept 2026
SW
Simon Willison — holds since 2026-09-02 — tap for who they are
Same subject: A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. — tap to centre the map on it A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. Last stated 4 months ago
10 May 2026
ER
Eric Ries — holds since 2026-05-10 — tap for who they are
At the centre
The absence of a visible productivity jump from AI proves nothing, because a real ten percent uplift across the board would be impressive and almost invisible from outside.
Holds CM Casey MuratoriRead this korrent →
A team that slows down and reads every pull request and every line of code should expect only a 30 to 50 percent productivity lift from AI.
Holds DH Dex Horthy
There is essentially no cognitive task humans do where AI improvement is failing to transfer at all.
Holds RG Ryan Greenblatt
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
The very large productivity gains from agents require working with them directly; putting another human in between is too slow to preserve the gain.
Holds
The personal computer made countless individual tasks easier without delivering the productivity gains everyone expected, and AI may go the same way.
Holds CN Cal Newport
A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months.
Holds DA Dario Amodei
An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario.
Holds DH Demis Hassabis
AI has already made sweeping mechanical changes cheap; the unsolved problem is getting the same productivity when adding features to an old, entangled codebase.
Holds TP Thuan Pham
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Holds
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Holds
A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable.
Holds
A formal code of conduct is not worth adopting, because those became struggle-session processes; courtesy without one is what actually wins.
Holds
Most of the Linux world is ambivalent or hostile to AI, which is fine, but it needs a camp that leans in all the way, and Omarchy will be it.
Holds
Omarchy could reasonably switch its packaging system to Nix.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces.
Holds
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Holds ER Eric Ries