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← ImageNet is much larger in scale and diversity and more accurate than existing image datasets.
17 connected korrents · 16 moments from 1 Jun 2009 to 23 Sept 2026.
Everything filed under computer vision
computer vision
Everything filed under LLMs
LLMs
Everything filed under robotics
robotics
Everything filed under software quality
software quality
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: ImageNet is much larger in scale and diversity and more accurate than existing image datasets. 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: AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. — tap to centre the map on it 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'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: Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases. — tap to centre the map on it Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases. 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: Unsupervised learning trained on unfiltered, internet-scale image data now genuinely works. — tap to centre the map on it Unsupervised learning trained on unfiltered, internet-scale image data now genuinely works. Last stated 6 years ago
6 Apr 2021
GW
Gwern — holds since 2021-04-06 — tap for who they are
Same subject: Supervised pretraining on ImageNet is now obsolete for transfer learning, and ImageNet itself is just a contaminated validation set. — tap to centre the map on it Supervised pretraining on ImageNet is now obsolete for transfer learning, and ImageNet itself is just a contaminated validation set. Last stated 6 years ago
6 Apr 2021
GW
Gwern — holds since 2021-04-06 — 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 a month 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 8 months ago
10 Mar 2026
JS
Jon Seager — holds since 2026-03-10 — 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 10 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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
At the centre
ImageNet is much larger in scale and diversity and more accurate than existing image datasets.
Holds Read this korrent →
AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function.
Holds
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'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
Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases.
Holds
Unsupervised learning trained on unfiltered, internet-scale image data now genuinely works.
Holds
Supervised pretraining on ImageNet is now obsolete for transfer learning, and ImageNet itself is just a contaminated validation set.
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
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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds