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← A lab should run many experiments in parallel, even competing approaches to the same problem.
17 connected korrents · 14 moments from 10 Dec 2015 to 10 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under ambition
ambition
Everything filed under benchmarks
benchmarks
Everything filed under AI alignment
AI alignment
Everything filed under neural networks
neural networks 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: A lab should run many experiments in parallel, even competing approaches to the same problem. A lab should run many experiments in parallel, even competing approaches to the same problem. Last stated 3 weeks ago
10 Sept 2026
DS
Dan Shipper — holds since 2026-09-10 — tap for who they are
Same subject: A product organisation should run like a research lab, or at least add research-lab elements. — tap to centre the map on it A product organisation should run like a research lab, or at least add research-lab elements. Last stated 3 weeks ago
10 Sept 2026
DS
Dan Shipper — holds since 2026-09-10 — 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: The reliable method is to run many small experiments, commit fully to whatever works, and keep at it until it stops working. — tap to centre the map on it The reliable method is to run many small experiments, commit fully to whatever works, and keep at it until it stops working. Last stated 9 months ago
1 Jan 2026
JC
James Clear — holds since 2026-01-01 — tap for who they are
Same subject: Evaluating a model properly would mean delaying its release, and competitive pressure means no lab will. — tap to centre the map on it Evaluating a model properly would mean delaying its release, and competitive pressure means no lab will. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: You should build by solving only the next problem in front of you; most people fail because they look too far ahead. — tap to centre the map on it You should build by solving only the next problem in front of you; most people fail because they look too far ahead. Last stated 2 years ago
20 Aug 2024
PL
Pieter Levels — holds since 2024-08-20 — tap for who they are
Same subject: If every growth initiative is an experiment, the team has a paralysing disease rather than a process. — tap to centre the map on it If every growth initiative is an experiment, the team has a paralysing disease rather than a process. Last stated 2 years ago
19 Jan 2025
EV
Elena Verna — holds since 2025-01-19 — tap for who they are
Same subject: A published training-run cost always understates the truth, because any notable model takes two to four times that run's compute in experiments alone. — tap to centre the map on it A published training-run cost always understates the truth, because any notable model takes two to four times that run's compute in experiments alone. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: No lab has solved alignment and monitoring well enough to keep scaling at maximum speed much longer. — tap to centre the map on it No lab has solved alignment and monitoring well enough to keep scaling at maximum speed much longer. Last stated 4 weeks ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — 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 model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. — tap to centre the map on it A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 9 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A deep bidirectional model is strictly more powerful than a left-to-right model or a shallow concatenation of unidirectional models. — tap to centre the map on it A deep bidirectional model is strictly more powerful than a left-to-right model or a shallow concatenation of unidirectional models. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
Same subject: A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable. — tap to centre the map on it A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable. Last stated 11 years ago
10 Dec 2015
JS
Jian Sun — holds since 2015-12-10 — tap for who they are
KH
Kaiming He — holds since 2015-12-10 — tap for who they are
Same subject: A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. — tap to centre the map on it A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. Last stated 4 weeks ago
7 Sept 2026
KK
Kevin Kelly — holds since 2026-09-07 — tap for who they are
At the centre
A lab should run many experiments in parallel, even competing approaches to the same problem.
Holds Read this korrent →
A product organisation should run like a research lab, or at least add research-lab elements.
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
The reliable method is to run many small experiments, commit fully to whatever works, and keep at it until it stops working.
Holds
Evaluating a model properly would mean delaying its release, and competitive pressure means no lab will.
Holds
You should build by solving only the next problem in front of you; most people fail because they look too far ahead.
Holds
If every growth initiative is an experiment, the team has a paralysing disease rather than a process.
Holds
A published training-run cost always understates the truth, because any notable model takes two to four times that run's compute in experiments alone.
Holds
No lab has solved alignment and monitoring well enough to keep scaling at maximum speed much longer.
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 model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Holds
A deep bidirectional model is strictly more powerful than a left-to-right model or a shallow concatenation of unidirectional models.
Holds
A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable.
Holds
A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression.
Holds