Tap a claim on the ring to put it at the centre.
← If you are not willing to try hard, do things yourself and dig deeper,…
17 connected korrents · 16 moments on record from 17 Dec 2024 to 12 Aug 2026.
Everything filed under hiring
hiring
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under software quality
software quality
Everything filed under education
education 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: If you are not willing to try hard, do things yourself and dig deeper, you should know what you are getting yourself into before betting a career on tech. If you are not willing to try hard, do things yourself and dig deeper, you should know what you are getting yourself into before betting a career on tech. Last stated 2 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: The question to put to a young person is what they want to do, not what they want to be — the roles are a costume and asking about them is cruel. — tap to centre the map on it The question to put to a young person is what they want to do, not what they want to be — the roles are a costume and asking about them is cruel. Last stated 6 months ago
11 Mar 2026
JK
Jeff Kaplan — holds since 2026-03-11 — 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: If this much effort goes into training the model, you had better be willing to keep training your own. — tap to centre the map on it If this much effort goes into training the model, you had better be willing to keep training your own. Last stated 3 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: Doing your best at a bad job is not for the boss: it is how the warm referral that gets the next job is earned, and slacking there cheats only yourself. — tap to centre the map on it Doing your best at a bad job is not for the boss: it is how the warm referral that gets the next job is earned, and slacking there cheats only yourself. Last stated 5 months ago
8 Apr 2026
DH
David Heinemeier Hansson — holds since 2026-04-08 — tap for who they are
Same subject: A young engineer may attempt what nobody has ever done, but if somebody has already done it they are obliged to call that person and hear their advice. — tap to centre the map on it A young engineer may attempt what nobody has ever done, but if somebody has already done it they are obliged to call that person and hear their advice. Last stated a month ago
28 Jul 2026
BS
Blake Scholl — holds since 2026-07-28 — tap for who they are
Same subject: If engineers do not hold themselves to a high standard and build efficiently, somebody else will come along and impose it on them. — tap to centre the map on it If engineers do not hold themselves to a high standard and build efficiently, somebody else will come along and impose it on them. Last stated 4 weeks ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: Learning should be made harder rather than easier, and a teacher's instinct to smooth the path is the first thing that goes wrong. — tap to centre the map on it Learning should be made harder rather than easier, and a teacher's instinct to smooth the path is the first thing that goes wrong. Last stated 2 months ago
13 Jul 2026
AC
Alan Castel — holds since 2026-07-13 — tap for who they are
Same subject: Promising twice the work in half the time without the hard-won technical skills is simply a lie. — tap to centre the map on it Promising twice the work in half the time without the hard-won technical skills is simply a lie. Last stated 2 months ago
1 Jul 2026
KB
Kent Beck — holds since 2026-07-01 — 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
If you are not willing to try hard, do things yourself and dig deeper, you should know what you are getting yourself into before betting a career on tech.
Holds NE NeetCodeRead this korrent →
The question to put to a young person is what they want to do, not what they want to be — the roles are a costume and asking about them is cruel.
Holds JK Jeff Kaplan
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
If this much effort goes into training the model, you had better be willing to keep training your own.
Holds KH Kelsey Hightower
Doing your best at a bad job is not for the boss: it is how the warm referral that gets the next job is earned, and slacking there cheats only yourself.
Holds
A young engineer may attempt what nobody has ever done, but if somebody has already done it they are obliged to call that person and hear their advice.
Holds BS Blake Scholl
If engineers do not hold themselves to a high standard and build efficiently, somebody else will come along and impose it on them.
Holds CM Charity Majors
Learning should be made harder rather than easier, and a teacher's instinct to smooth the path is the first thing that goes wrong.
Holds AC Alan Castel
Promising twice the work in half the time without the hard-won technical skills is simply a lie.
Holds KB Kent Beck
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