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← The practices that make someone effective at working with an AI model…
17 connected korrents · 17 moments on record from 28 Oct 2011 to 15 Sept 2026.
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coding 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: The practices that make someone effective at working with an AI model are the same practices that make someone effective at onboarding any new human collaborator. The practices that make someone effective at working with an AI model are the same practices that make someone effective at onboarding any new human collaborator. Last stated 5 months ago
3 May 2026
EY
Eugene Yan — holds since 2026-05-03 — tap for who they are
Same subject: AI should be approached as a collaboration between humans and computers, not a forced choice between them. — tap to centre the map on it AI should be approached as a collaboration between humans and computers, not a forced choice between them. Last stated 3 years ago
6 Feb 2024
SC
Steve Coast — holds since 2024-02-06 — tap for who they are
Same subject: AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. — tap to centre the map on it AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. — tap to centre the map on it Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. Last stated a month ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. — tap to centre the map on it AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — 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: AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work. — tap to centre the map on it AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work. Last stated 2 months ago
22 Jul 2026
SY
Scott H. Young — holds since 2026-07-22 — tap for who they are
Same subject: Using an AI tool well is something you have to learn, exactly as it was with object orientation; a bad first impression proves nothing. — tap to centre the map on it Using an AI tool well is something you have to learn, exactly as it was with object orientation; a bad first impression proves nothing. Last stated 5 months ago
7 Apr 2026
MF
Martin Fowler — holds since 2026-04-07 — tap for who they are
Same subject: "Hire great people and get out of their way" is dangerous advice for anyone in a leadership role. — tap to centre the map on it "Hire great people and get out of their way" is dangerous advice for anyone in a leadership role. Last stated 2 years ago
17 Dec 2024
CM
Charity Majors — holds since 2024-12-17 — tap for who they are
Same subject: A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is. — tap to centre the map on it A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is. Last stated 15 years ago
28 Oct 2011
PM
Patrick McKenzie — holds since 2011-10-28 — tap for who they are
Same subject: A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills. — tap to centre the map on it A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills. Last stated a year ago
28 May 2025
CF
Camille Fournier — holds since 2025-05-28 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — 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 3 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
At the centre
The practices that make someone effective at working with an AI model are the same practices that make someone effective at onboarding any new human collaborator.
Holds Read this korrent →
AI should be approached as a collaboration between humans and computers, not a forced choice between them.
Holds
AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge.
Holds
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
Holds
AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer.
Holds
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
AI can supply the instruction and the feedback in a practice loop, but it cannot supply the middle step, which is doing the work.
Holds
Using an AI tool well is something you have to learn, exactly as it was with object orientation; a bad first impression proves nothing.
Holds
"Hire great people and get out of their way" is dangerous advice for anyone in a leadership role.
Holds
A career goes better attached to the part of a business that brings the money in than to a cost centre, whatever the work itself is.
Holds
A career ladder must not be a checklist that guarantees promotion, because a promotion depends on the organisation’s needs as much as on the employee’s skills.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
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
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