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← The annual performance review is disruptive and surfaces nothing you did not already know but had avoided acting on.
17 connected korrents · 12 moments on record from 20 Jan 2021 to 1 Sept 2026.
Everything filed under hiring
hiring
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under cybersecurity
cybersecurity 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 annual performance review is disruptive and surfaces nothing you did not already know but had avoided acting on. The annual performance review is disruptive and surfaces nothing you did not already know but had avoided acting on. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all. — tap to centre the map on it Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all. Last stated 6 years ago
20 Jan 2021
JR
José Luis Ricón — holds since 2021-01-20 — 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: Performance review is best done as a PageRank-style computation over continuous company-wide votes, not as an annual HR cycle. — tap to centre the map on it Performance review is best done as a PageRank-style computation over continuous company-wide votes, not as an annual HR cycle. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Any one person or small group placed at the top of the hiring funnel will bottleneck the whole organisation, so first-round review should be distributed across the company as a vote. — tap to centre the map on it Any one person or small group placed at the top of the hiring funnel will bottleneck the whole organisation, so first-round review should be distributed across the company as a vote. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — 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: Responding to a dangerous cybersecurity evaluation by stopping such evaluations buries the problem somewhere nobody can track it. — tap to centre the map on it Responding to a dangerous cybersecurity evaluation by stopping such evaluations buries the problem somewhere nobody can track it. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Approving purchases one at a time is the wrong place to control burn; spending review belongs earlier, in a budget people can make their own trade-offs inside. — tap to centre the map on it Approving purchases one at a time is the wrong place to control burn; spending review belongs earlier, in a budget people can make their own trade-offs inside. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Interviews reward presentation; only a hands-on case study shows how fast a candidate's thinking decays. — tap to centre the map on it Interviews reward presentation; only a hands-on case study shows how fast a candidate's thinking decays. Last stated a month ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better. — tap to centre the map on it A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better. Last stated 2 years ago
17 Dec 2024
CM
Charity Majors — holds since 2024-12-17 — tap for who they are
Same subject: A company should always have as few employees as possible, and hiring is the lever a leader reaches for last rather than first. — tap to centre the map on it A company should always have as few employees as possible, and hiring is the lever a leader reaches for last rather than first. Last stated 2 years ago
17 Dec 2024
CM
Charity Majors — holds since 2024-12-17 — tap for who they are
Same subject: A company should hire a product manager only against a specific need, never by default. — tap to centre the map on it A company should hire a product manager only against a specific need, never by default. Last stated a month ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — 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
The annual performance review is disruptive and surfaces nothing you did not already know but had avoided acting on.
Holds MH Max HodakRead this korrent →
Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all.
Holds JR José Luis Ricón
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.
Holds JZ Julie Zhuo
Performance review is best done as a PageRank-style computation over continuous company-wide votes, not as an annual HR cycle.
Holds MH Max Hodak
Any one person or small group placed at the top of the hiring funnel will bottleneck the whole organisation, so first-round review should be distributed across the company as a vote.
Holds MH Max Hodak
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.
Holds
Responding to a dangerous cybersecurity evaluation by stopping such evaluations buries the problem somewhere nobody can track it.
Holds AC Ajeya Cotra
Approving purchases one at a time is the wrong place to control burn; spending review belongs earlier, in a budget people can make their own trade-offs inside.
Holds MH Max Hodak
Interviews reward presentation; only a hands-on case study shows how fast a candidate's thinking decays.
Holds TV Tom Verrilli
A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better.
Holds CM Charity Majors
A company should always have as few employees as possible, and hiring is the lever a leader reaches for last rather than first.
Holds CM Charity Majors
A company should hire a product manager only against a specific need, never by default.
Holds TV Tom Verrilli
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