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← Every hyped business attracts negative sentiment nobody has an…
17 connected korrents · 17 moments on record from 5 Apr 2017 to 21 Aug 2026.
Everything filed under Addiction
Addiction
Everything filed under scaling laws
scaling laws
Everything filed under reinforcement learning
reinforcement learning 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: Every hyped business attracts negative sentiment nobody has an incentive to correct — and inference makes sense as a business long-term, whatever the training costs are. Every hyped business attracts negative sentiment nobody has an incentive to correct — and inference makes sense as a business long-term, whatever the training costs are. Last stated 3 months ago
27 May 2026
DR
Dax Raad — holds since 2026-05-27 — tap for who they are
Same subject: Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. — tap to centre the map on it Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: There is no way to capture a new technology’s upside without being exposed to the losses if the enthusiasm proves excessive. — tap to centre the map on it There is no way to capture a new technology’s upside without being exposed to the losses if the enthusiasm proves excessive. Last stated 9 months ago
9 Dec 2025
HM
Howard Marks — holds since 2025-12-09 — tap for who they are
Same subject: The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. — tap to centre the map on it The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Doing PR before you have evidence customers want the thing is risky, because the publicity creates a sunk cost that makes the team see a failing product through. — tap to centre the map on it Doing PR before you have evidence customers want the thing is risky, because the publicity creates a sunk cost that makes the team see a failing product through. Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: Shaming people out of using a harmful technology does not work, because the companies selling it have already priced the stigma into their plans. — tap to centre the map on it Shaming people out of using a harmful technology does not work, because the companies selling it have already priced the stigma into their plans. Last stated 3 weeks ago
21 Aug 2026
AD
Anil Dash — holds since 2026-08-21 — tap for who they are
Same subject: The Bitter Lesson is misread as being about scale; it is about refusing to add human priors, because a clever specific fix always loses to a simple scalable one. — tap to centre the map on it The Bitter Lesson is misread as being about scale; it is about refusing to add human priors, because a clever specific fix always loses to a simple scalable one. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Companies that constantly retune their pricing cheapen the product, because customers learn to wait for the next discount. — tap to centre the map on it Companies that constantly retune their pricing cheapen the product, because customers learn to wait for the next discount. Last stated 12 months ago
18 Sept 2025
TL
Tobias Lütke — holds since 2025-09-18 — tap for who they are
Same subject: Renouncing your own cognitive ability because the models are good is premature, because companies still pay an enormous premium for it. — tap to centre the map on it Renouncing your own cognitive ability because the models are good is premature, because companies still pay an enormous premium for it. Last stated a month ago
31 Jul 2026
PC
Patrick Collison — holds since 2026-07-31 — tap for who they are
Same subject: A builder asked to addict users should leave, because there are always other jobs and no amount of money is worth tearing up the fabric of a society. — tap to centre the map on it A builder asked to addict users should leave, because there are always other jobs and no amount of money is worth tearing up the fabric of a society. Last stated 3 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — tap for who they are
Same subject: Addiction is neither a choice nor an inherited disease, but a response to pain: the question is not why the addiction, but why the pain. — tap to centre the map on it Addiction is neither a choice nor an inherited disease, but a response to pain: the question is not why the addiction, but why the pain. Last stated 9 years ago
5 Apr 2017
GM
Gabor Mate — holds since 2017-04-05 — tap for who they are
Same subject: An addiction is not ended by finding something better to put in its place; you do not stop a problem by replacing it. — tap to centre the map on it An addiction is not ended by finding something better to put in its place; you do not stop a problem by replacing it. Last stated a year ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — 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
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
At the centre
Every hyped business attracts negative sentiment nobody has an incentive to correct — and inference makes sense as a business long-term, whatever the training costs are.
Holds Read this korrent →
Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying.
Holds MH Max Hodak
There is no way to capture a new technology’s upside without being exposed to the losses if the enthusiasm proves excessive.
Holds HM Howard Marks
The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out.
Holds
Doing PR before you have evidence customers want the thing is risky, because the publicity creates a sunk cost that makes the team see a failing product through.
Holds AC Albert Cheng
Shaming people out of using a harmful technology does not work, because the companies selling it have already priced the stigma into their plans.
Holds AD Anil Dash
The Bitter Lesson is misread as being about scale; it is about refusing to add human priors, because a clever specific fix always loses to a simple scalable one.
Holds NL Nathan Lambert
Companies that constantly retune their pricing cheapen the product, because customers learn to wait for the next discount.
Holds
Renouncing your own cognitive ability because the models are good is premature, because companies still pay an enormous premium for it.
Holds
A builder asked to addict users should leave, because there are always other jobs and no amount of money is worth tearing up the fabric of a society.
Holds TF Tony Fadell
Addiction is neither a choice nor an inherited disease, but a response to pain: the question is not why the addiction, but why the pain.
Holds GM Gabor Mate
An addiction is not ended by finding something better to put in its place; you do not stop a problem by replacing it.
Holds TH ThePrimeagen
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
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