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← Having a job to do is what makes perception tractable, which is why an…
17 connected korrents · 15 moments on record from 3 May 2024 to 25 Aug 2026.
Everything filed under semiconductors
semiconductors
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Apple
Everything filed under reinforcement learning
reinforcement learning
Everything filed under robotics
robotics 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: Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot. Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot. Last stated 12 months ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work. — tap to centre the map on it A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. — tap to centre the map on it Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. Last stated 4 weeks ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: The brain is more parallel than a GPU, and an embodied model should run perception, planning and memory at once rather than one token at a time. — tap to centre the map on it The brain is more parallel than a GPU, and an embodied model should run perception, planning and memory at once rather than one token at a time. Last stated 12 months ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: Intuitive physics can be learned from passive observation alone, so an embodied robot is not required to understand the physical world. — tap to centre the map on it Intuitive physics can be learned from passive observation alone, so an embodied robot is not required to understand the physical world. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: A model may have a worldview of its own, but it can never be placed above a person under any circumstance. — tap to centre the map on it A model may have a worldview of its own, but it can never be placed above a person under any circumstance. Last stated 3 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: The industry is too optimistic about AI for video, and the consistency problem will not simply be remedied. — tap to centre the map on it The industry is too optimistic about AI for video, and the consistency problem will not simply be remedied. Last stated a year ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. — tap to centre the map on it AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Watching humans is not enough for a robot: there is no substitute for experience gathered on its own body. — tap to centre the map on it Watching humans is not enough for a robot: there is no substitute for experience gathered on its own body. Last stated 4 weeks ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it. — tap to centre the map on it A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it. Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud. — tap to centre the map on it A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud. Last stated 5 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock. — tap to centre the map on it A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock. Last stated 2 years ago
3 May 2024
BP
Brian Potter — holds since 2024-05-03 — tap for who they are
Same subject: A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft. — tap to centre the map on it A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft. Last stated a year ago
26 Jun 2025
DH
David Heinemeier Hansson — holds since 2025-06-26 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it. — tap to centre the map on it An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it. Last stated 2 weeks ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — 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
Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot.
Holds SL Sergey LevineRead this korrent →
A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work.
Holds DH Demis Hassabis
Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it.
Holds CF Chelsea Finn
The brain is more parallel than a GPU, and an embodied model should run perception, planning and memory at once rather than one token at a time.
Holds SL Sergey Levine
Intuitive physics can be learned from passive observation alone, so an embodied robot is not required to understand the physical world.
Holds DH Demis Hassabis
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
Holds KH Kelsey Hightower
The industry is too optimistic about AI for video, and the consistency problem will not simply be remedied.
Holds TS Tim Sweeney
AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer.
Holds DF Dylan Field
Watching humans is not enough for a robot: there is no substitute for experience gathered on its own body.
Holds CF Chelsea Finn
A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it.
Holds LT Lip-Bu Tan
A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud.
Holds JH Jensen Huang
A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock.
Holds BP Brian Potter
A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds GM Gary Marcus
An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it.
Holds
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