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← AlexNet's real breakthrough was not computer vision but the discovery…
17 connected korrents · 17 moments from 1 Jun 2009 to 23 Sept 2026.
Everything filed under computer vision
computer vision
Everything filed under neural networks
neural networks
Everything filed under robotics
robotics
Everything filed under software quality
software quality
Everything filed under mathematics
mathematics 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: AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century. — tap to centre the map on it Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century. Last stated 2 months ago
4 Sept 2026
FL
Fei-Fei Li — holds since 2026-09-04 — tap for who they are
Same subject: Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number. — tap to centre the map on it Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: ImageNet is much larger in scale and diversity and more accurate than existing image datasets. — tap to centre the map on it ImageNet is much larger in scale and diversity and more accurate than existing image datasets. Last stated 17 years ago
1 Jun 2009
FL
Fei-Fei Li — holds since 2009-06-01 — tap for who they are
Same subject: ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers. — tap to centre the map on it ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers. Last stated 17 years ago
1 Jun 2009
FL
Fei-Fei Li — holds since 2009-06-01 — tap for who they are
Same subject: Predictions that AI would eliminate radiology jobs were wrong; radiology is growing. — tap to centre the map on it Predictions that AI would eliminate radiology jobs were wrong; radiology is growing. Last stated a year ago
25 Sept 2025
AK
Andrej Karpathy — holds since 2025-09-25 — tap for who they are
Same subject: Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes. — tap to centre the map on it Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Almost every recent AI breakthrough has been in code and mathematics, the two domains with highly structured languages and huge specialised training sets. — tap to centre the map on it Almost every recent AI breakthrough has been in code and mathematics, the two domains with highly structured languages and huge specialised training sets. Last stated 2 months ago
10 Aug 2026
CN
Cal Newport — holds since 2026-08-10 — tap for who they are
Same subject: Deep learning generalises badly, and catastrophic interference with what a network already knew is the proof of it. — tap to centre the map on it Deep learning generalises badly, and catastrophic interference with what a network already knew is the proof of it. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — 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 a month ago
7 Sept 2026
KK
Kevin Kelly — holds since 2026-09-07 — tap for who they are
Same subject: A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas. — tap to centre the map on it A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas. Last stated 3 years ago
1 Oct 2023
TC
Tyler Cowen — holds since 2023-10-01 — tap for who they are
Same subject: A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it. — tap to centre the map on it A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it. Last stated 2 years ago
6 Apr 2025
MH
Molson Hart — holds since 2025-04-06 — tap for who they are
Same subject: A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases. — tap to centre the map on it A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: 95 percent of the software made in an age of abundance will be shitty, and shitty software is easy to deal with because it goes away. — tap to centre the map on it 95 percent of the software made in an age of abundance will be shitty, and shitty software is easy to deal with because it goes away. Last stated 4 weeks ago
23 Sept 2026
GT
Geoff Teehan — holds since 2026-09-23 — tap for who they are
Same subject: A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. — tap to centre the map on it A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — tap for who they are
Same subject: A developer using AI coding tools remains responsible for reviewing the code they ship. — tap to centre the map on it A developer using AI coding tools remains responsible for reviewing the code they ship. Last stated 7 months ago
10 Mar 2026
JS
Jon Seager — holds since 2026-03-10 — tap for who they are
At the centre
AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function.
Holds Read this korrent →
Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century.
Holds
Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number.
Holds
ImageNet is much larger in scale and diversity and more accurate than existing image datasets.
Holds
ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers.
Holds
Predictions that AI would eliminate radiology jobs were wrong; radiology is growing.
Holds
Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes.
Holds
Almost every recent AI breakthrough has been in code and mathematics, the two domains with highly structured languages and huge specialised training sets.
Holds
Deep learning generalises badly, and catastrophic interference with what a network already knew is the proof of it.
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
A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas.
Holds
A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it.
Holds
A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases.
Holds
95 percent of the software made in an age of abundance will be shitty, and shitty software is easy to deal with because it goes away.
Holds
A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
Holds
A developer using AI coding tools remains responsible for reviewing the code they ship.
Holds