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← The economics of serving personalized weights will strongly favor big organizations.
14 connected korrents · 13 moments from 17 Dec 2014 to 30 Oct 2026.
Everything filed under neural networks
neural networks
Everything filed under LLMs
LLMs
Everything filed under ideas vs execution
ideas vs execution
Everything filed under market efficiency
market efficiency
Everything filed under startups
startups
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Read this korrent: The economics of serving personalized weights will strongly favor big organizations.
The economics of serving personalized weights will strongly favor big organizations.
Last stated 3 months ago
7 Aug 2026
DP
Dwarkesh Patel — holds since 2026-08-07 — tap for who they are
Same subject: The economics of large scale inference suggest the business model is healthy at scale. — tap to centre the map on it
The economics of large scale inference suggest the business model is healthy at scale.
Last stated 2 weeks ago
21 Oct 2026
TT
Tomasz Tunguz — holds since 2026-10-21 — tap for who they are
Same subject: An excellent organisation is significantly more likely to succeed than a weaker one, so organisational strength belongs in the decision about where to give. — tap to centre the map on it
An excellent organisation is significantly more likely to succeed than a weaker one, so organisational strength belongs in the decision about where to give.
Last stated 12 years ago
17 Dec 2014
EH
Elie Hassenfeld — holds since 2014-12-17 — tap for who they are
Same subject: Letting one calculation take over a giving decision is disturbing, and there is still a strong case for it if you want your ethics to be principled and about other people. — tap to centre the map on it
Letting one calculation take over a giving decision is disturbing, and there is still a strong case for it if you want your ethics to be principled and about other people.
Last stated 5 years ago
15 Feb 2022
HK
Holden Karnofsky — holds since 2022-02-15 — tap for who they are
Same subject: Personalized pricing by AI and big data could be more efficient than current signaling games because it is basically costless. — tap to centre the map on it
Personalized pricing by AI and big data could be more efficient than current signaling games because it is basically costless.
Last stated a week ago
30 Oct 2026
JC
John H. Cochrane — holds since 2026-10-30 — tap for who they are
Same subject: Organizational dysfunction should not be tolerated as a "scaling tax". — tap to centre the map on it
Organizational dysfunction should not be tolerated as a "scaling tax".
Last stated 2 years ago
1 Sept 2024
DC
Dalton Caldwell — holds since 2024-09-01 — 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 2 months ago
7 Sept 2026
KK
Kevin Kelly — holds since 2026-09-07 — tap for who they are
Same subject: A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it. — tap to centre the map on it
A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it.
Last stated 9 years ago
9 Mar 2018
MC
Michael Carbin — holds since 2018-03-09 — tap for who they are
JF
Jonathan Frankle — holds since 2018-03-09 — tap for who they are
Same subject: A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work. — tap to centre the map on it
A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work.
Last stated 9 years ago
9 Mar 2018
MC
Michael Carbin — holds since 2018-03-09 — tap for who they are
JF
Jonathan Frankle — holds since 2018-03-09 — tap for who they are
Same subject: Intelligence is the execution of small, simplicity-weighted programs found by search over smooth loss landscapes in overparameterized networks, approaching Bayes-optimal reasoning as scale increases. — tap to centre the map on it
Intelligence is the execution of small, simplicity-weighted programs found by search over smooth loss landscapes in overparameterized networks, approaching Bayes-optimal reasoning as scale increases.
Last stated 5 years ago
11 Jun 2021
GW
Gwern — holds since 2021-06-11 — tap for who they are
Same subject: A transduction model can rely entirely on self-attention for input and output representations without sequence-aligned RNNs or convolution. — tap to centre the map on it
A transduction model can rely entirely on self-attention for input and output representations without sequence-aligned RNNs or convolution.
Last stated 9 years ago
12 Jun 2017
IP
Illia Polosukhin — holds since 2017-06-12 — tap for who they are
JU
Jakob Uszkoreit — holds since 2017-06-12 — tap for who they are
NP
Niki Parmar — holds since 2017-06-12 — tap for who they are
AV
Ashish Vaswani — holds since 2017-06-12 — tap for who they are
NS
Noam Shazeer — holds since 2017-06-12 — tap for who they are
AG
Aidan N. Gomez — holds since 2017-06-12 — tap for who they are
+2
2 more
Same subject: Looped/recurrent-depth transformer architectures can improve model quality at a fixed compute budget when the model is large enough. — tap to centre the map on it
Looped/recurrent-depth transformer architectures can improve model quality at a fixed compute budget when the model is large enough.
Last stated 2 months ago
9 Sept 2026
SR
Sebastian Raschka — holds since 2026-09-09 — tap for who they are
Same subject: Self-attention can yield more interpretable models. — tap to centre the map on it
Self-attention can yield more interpretable models.
Last stated 9 years ago
12 Jun 2017
IP
Illia Polosukhin — holds since 2017-06-12 — tap for who they are
JU
Jakob Uszkoreit — holds since 2017-06-12 — tap for who they are
NP
Niki Parmar — holds since 2017-06-12 — tap for who they are
AV
Ashish Vaswani — holds since 2017-06-12 — tap for who they are
NS
Noam Shazeer — holds since 2017-06-12 — tap for who they are
AG
Aidan N. Gomez — holds since 2017-06-12 — tap for who they are
+2
2 more
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2014 to today (stretched back to the oldest claim here) — full is today a face: someone who holds the claim — tap it for who they are