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← Text is a more powerful output modality for a model than images, because text supports many downstream tasks
17 connected korrents · 17 moments on record from 1 Jan 1998 to 15 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under computer vision
computer vision
Everything filed under neural networks
neural networks
Everything filed under measuring intelligence
measuring intelligence
Everything filed under vibe coding
vibe coding 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: Text is a more powerful output modality for a model than images, because text supports many downstream tasks Text is a more powerful output modality for a model than images, because text supports many downstream tasks Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
Same subject: Image is the most versatile input modality for a model, since it can represent text, tabular data, and audio — tap to centre the map on it Image is the most versatile input modality for a model, since it can represent text, tabular data, and audio Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
Same subject: Video never became intelligence the way text did because text arrives already abstracted into the bits humans care about. — tap to centre the map on it Video never became intelligence the way text did because text arrives already abstracted into the bits humans care about. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: Newer model releases have got worse at producing text that is actually pleasant to read and understand. — tap to centre the map on it Newer model releases have got worse at producing text that is actually pleasant to read and understand. Last stated 4 weeks ago
25 Aug 2026
AR
Armin Ronacher — holds since 2026-08-25 — tap for who they are
Same subject: High-quality video data, especially paired with text, is harder to collect at scale than image or text data. — tap to centre the map on it High-quality video data, especially paired with text, is harder to collect at scale than image or text data. Last stated 2 years ago
12 Apr 2024
LW
Lilian Weng — holds since 2024-04-12 — tap for who they are
Same subject: What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. — tap to centre the map on it What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: A model is better thought of as a living creature with a personality you must get to know than as a component you specify. — tap to centre the map on it A model is better thought of as a living creature with a personality you must get to know than as a component you specify. Last stated 2 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: Biology models are smaller than language models only because there is less data, not because biology is simpler. — tap to centre the map on it Biology models are smaller than language models only because there is less data, not because biology is simpler. Last stated 3 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: Anything a person can describe, AI can now produce — software has reached the point image generation reached with style. — tap to centre the map on it Anything a person can describe, AI can now produce — software has reached the point image generation reached with style. Last stated 6 months ago
29 Mar 2026
CH
Chip Huyen — holds since 2026-03-29 — 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 2 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 weeks ago
4 Sept 2026
FL
Fei-Fei Li — holds since 2026-09-04 — tap for who they are
Same subject: Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance. — tap to centre the map on it Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance. Last stated 29 years ago
1 Jan 1998
YB
Yoshua Bengio — holds since 1998-01-01 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 5 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — 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 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: Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. — tap to centre the map on it Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. Last stated 3 years ago
24 Jun 2023
YB
Yoshua Bengio — holds since 2023-06-24 — tap for who they are
At the centre
Text is a more powerful output modality for a model than images, because text supports many downstream tasks
Holds Read this korrent →
Image is the most versatile input modality for a model, since it can represent text, tabular data, and audio
Holds
Video never became intelligence the way text did because text arrives already abstracted into the bits humans care about.
Holds
Newer model releases have got worse at producing text that is actually pleasant to read and understand.
Holds
High-quality video data, especially paired with text, is harder to collect at scale than image or text data.
Holds
What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters.
Holds
A model is better thought of as a living creature with a personality you must get to know than as a component you specify.
Holds
Biology models are smaller than language models only because there is less data, not because biology is simpler.
Holds
Anything a person can describe, AI can now produce — software has reached the point image generation reached with style.
Holds
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
Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
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 verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.
Holds