Tap a claim on the ring to put it at the centre.
← Neural networks do not have a one-to-one mapping between individual neurons and concepts.
17 connected korrents · 17 moments on record from 10 Jun 2022 to 8 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under Google
Google
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under Psychotherapy
Psychotherapy
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: Neural networks do not have a one-to-one mapping between individual neurons and concepts.
Neural networks do not have a one-to-one mapping between individual neurons and concepts.
Last stated today
8 Sept 2026
SA
Scott Alexander — holds since 2026-09-08 — tap for who they are
Same subject: The adult brain's stock of neurons is essentially fixed, and that is no limit on learning, because plasticity is the changing of connections between the cells you already have. — tap to centre the map on it
The adult brain's stock of neurons is essentially fixed, and that is no limit on learning, because plasticity is the changing of connections between the cells you already have.
Last stated 2 months ago
20 Jul 2026
TW
Tommy Wood — holds since 2026-07-20 — tap for who they are
Same subject: Concepts are represented with strikingly similar geometry inside large AI models and inside brains. — tap to centre the map on it
Concepts are represented with strikingly similar geometry inside large AI models and inside brains.
Last stated 3 weeks ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — tap for who they are
Same subject: Opening a fixed relational pattern takes two things: the implicit made explicit, and the person's own recoil from what they see. — tap to centre the map on it
Opening a fixed relational pattern takes two things: the implicit made explicit, and the person's own recoil from what they see.
Last stated 3 years ago
11 Aug 2023
TR
Terry Real — holds since 2023-08-11 — tap for who they are
Same subject: We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning. — tap to centre the map on it
We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning.
Last stated 11 months ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. — tap to centre the map on it
The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out.
Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. — tap to centre the map on it
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Deep properties of a model are inherited through the previous generation's data, which is why AI systems from different companies end up correlated with one another. — tap to centre the map on it
Deep properties of a model are inherited through the previous generation's data, which is why AI systems from different companies end up correlated with one another.
Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Aligning an AI is not impossible in principle; the problem is that it has to be done without the textbook that would make it look easy. — tap to centre the map on it
Aligning an AI is not impossible in principle; the problem is that it has to be done without the textbook that would make it look easy.
Last stated 4 years ago
10 Jun 2022
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Last stated 4 weeks ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model. — tap to centre the map on it
A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Last stated a month ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — 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 physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
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: Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. — tap to centre the map on it
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Last stated a month ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost. — tap to centre the map on it
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
Last stated 5 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — tap for who they are
Same subject: A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system. — tap to centre the map on it
A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system.
Last stated 3 years ago
14 Dec 2023
JB
Jeff Bezos — holds since 2023-12-14 — tap for who they are
Same subject: A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has. — tap to centre the map on it
A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has.
Last stated 3 years ago
28 Jul 2023
CD
Cory Doctorow — holds since 2023-07-28 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone on record holding the claim — tap it for who they are
At the centre
Neural networks do not have a one-to-one mapping between individual neurons and concepts.
Last stated 8 Sept 2026 · today
Holds SA Scott Alexander
Read this korrent →
Similar wording
The adult brain's stock of neurons is essentially fixed, and that is no limit on learning, because plasticity is the changing of connections between the cells you already have.
Last stated 20 Jul 2026 · 2 months ago
Holds TW Tommy Wood
Similar wording
Concepts are represented with strikingly similar geometry inside large AI models and inside brains.
Last stated 20 Aug 2026 · 3 weeks ago
Holds MH Max Hodak
Similar wording
Opening a fixed relational pattern takes two things: the implicit made explicit, and the person's own recoil from what they see.
Last stated 11 Aug 2023 · 3 years ago
Holds TR Terry Real
Similar wording
We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning.
Last stated 26 Sept 2025 · 11 months ago
Holds RS Richard Sutton
Similar wording
The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out.
Last stated 17 Oct 2025 · 11 months ago
Holds Andrej Karpathy
Similar wording
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Last stated 23 Jul 2025 · a year ago
Holds DH Demis Hassabis
Similar wording
Deep properties of a model are inherited through the previous generation's data, which is why AI systems from different companies end up correlated with one another.
Last stated 11 Aug 2026 · 4 weeks ago
Holds RG Ryan Greenblatt
Similar wording
Aligning an AI is not impossible in principle; the problem is that it has to be done without the textbook that would make it look easy.
Last stated 10 Jun 2022 · 4 years ago
Holds EY Eliezer Yudkowsky
Same subject: LLMs
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Last stated 10 Aug 2026 · 4 weeks ago
Holds FL Fei-Fei Li
Same subject: LLMs
A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Last stated 27 Jul 2026 · a month ago
Holds Boris Cherny
Same subject: LLMs
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 7 Jun 2025 · a year ago
Holds GM Gary Marcus
Same subject: reinforcement learning
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Last stated 3 Aug 2026 · a month ago
Holds DD Dmitri Dolgov
Same subject: reinforcement learning
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 17 Nov 2025 · 10 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Last stated 3 Aug 2026 · a month ago
Holds DD Dmitri Dolgov
Same subject: Google
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
Last stated 1 Apr 2026 · 5 months ago
Holds TP Thuan Pham
Same subject: Google
A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system.
Last stated 14 Dec 2023 · 3 years ago
Holds JB Jeff Bezos
Same subject: Google
A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has.
Last stated 28 Jul 2023 · 3 years ago
Holds CD Cory Doctorow