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← Consciousness is a practical problem rather than a philosophical one:…
17 connected korrents · 17 moments on record from 7 Sept 2008 to 20 Aug 2026.
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venture capital 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: Consciousness is a practical problem rather than a philosophical one: given a brain-computer interface that could read and drive every neuron, we would work it out quickly. Consciousness is a practical problem rather than a philosophical one: given a brain-computer interface that could read and drive every neuron, we would work it out quickly. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: AI will out-think us, but it will not become conscious, because consciousness is a property of life. — tap to centre the map on it AI will out-think us, but it will not become conscious, because consciousness is a property of life. Last stated 4 years ago
7 Sept 2022
NL
Nick Lane — holds since 2022-09-07 — tap for who they are
Same subject: Large language models will not get to real agency, because a mind has to be embedded in a world through a body. — tap to centre the map on it Large language models will not get to real agency, because a mind has to be embedded in a world through a body. Last stated 2 years ago
22 Dec 2024
AF
Adam Frank — holds since 2024-12-22 — tap for who they are
Same subject: The brain is doing classical computation, not quantum, so everything it does can in principle be mimicked by a classical computer. — tap to centre the map on it The brain is doing classical computation, not quantum, so everything it does can in principle be mimicked by a classical computer. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — 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: Talking and writing are not read-outs of a finished thought -- they are the thinking, so a faster brain-to-text channel would not make you think faster. — tap to centre the map on it Talking and writing are not read-outs of a finished thought -- they are the thinking, so a faster brain-to-text channel would not make you think faster. Last stated 3 weeks ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — tap for who they are
Same subject: Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. — tap to centre the map on it Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. Last stated 3 years ago
13 Dec 2023
SA
Scott Aaronson — holds since 2008-09-07 — tap for who they are
SA
Scott Aaronson — no longer holds since 2023-12-13 — tap for who they are
Same subject: The brain is very literally a computer, and so is the universe -- this is not a metaphor. — tap to centre the map on it The brain is very literally a computer, and so is the universe -- this is not a metaphor. Last stated 3 weeks ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — tap for who they are
Same subject: Treating brain-computer interfaces as one investment category is like having a single "drug bet" -- the field is as varied as pharma. — tap to centre the map on it Treating brain-computer interfaces as one investment category is like having a single "drug bet" -- the field is as varied as pharma. Last stated 3 weeks ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — 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: A language model is not using language at all, because language requires an intention to communicate. — tap to centre the map on it A language model is not using language at all, because language requires an intention to communicate. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. — tap to centre the map on it A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. Last stated 2 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — 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 a year 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 a month ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — 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
Consciousness is a practical problem rather than a philosophical one: given a brain-computer interface that could read and drive every neuron, we would work it out quickly.
Holds MH Max HodakRead this korrent →
AI will out-think us, but it will not become conscious, because consciousness is a property of life.
Holds NL Nick Lane
Large language models will not get to real agency, because a mind has to be embedded in a world through a body.
Holds AF Adam Frank
The brain is doing classical computation, not quantum, so everything it does can in principle be mimicked by a classical computer.
Holds DH Demis Hassabis
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
Talking and writing are not read-outs of a finished thought -- they are the thinking, so a faster brain-to-text channel would not make you think faster.
Holds MH Max Hodak
Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it.
No longer holds SA Scott Aaronson
The brain is very literally a computer, and so is the universe -- this is not a metaphor.
Holds MH Max Hodak
Treating brain-computer interfaces as one investment category is like having a single "drug bet" -- the field is as varied as pharma.
Holds MH Max Hodak
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
A language model is not using language at all, because language requires an intention to communicate.
Holds TC Ted Chiang
A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.
Holds SC Sean Carroll
A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas.
Holds TC Tyler Cowen
A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it.
Holds MH Molson Hart
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 DD Dmitri Dolgov
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