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← Robots will not be able to beat the best human basketball players in a full game by 2040.
17 connected korrents · 13 moments on record from 1 Oct 2023 to 14 Sept 2026.
Everything filed under robotics
robotics
Everything filed under OpenAI
OpenAI
Everything filed under reinforcement learning
reinforcement learning
Everything filed under self-driving cars
self-driving cars 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: Robots will not be able to beat the best human basketball players in a full game by 2040. Robots will not be able to beat the best human basketball players in a full game by 2040. Last stated a week ago
14 Sept 2026
KK
Kevin Kelly — holds since 2026-09-14 — 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 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A robot does not need video to remember the last hour: past a few seconds, memory can be a text summary of what happened. — tap to centre the map on it A robot does not need video to remember the last hour: past a few seconds, memory can be a text summary of what happened. Last stated a month ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: A robot going down a wrong path is not producing training data; the efficient move is for a human to intervene and show the recovery. — tap to centre the map on it A robot going down a wrong path is not producing training data; the efficient move is for a human to intervene and show the recovery. Last stated a month ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: A robot is not a mechanical person; the right analogy is a car or a bulldozer, and heterogeneous machines will beat humanoids. — tap to centre the map on it A robot is not a mechanical person; the right analogy is a car or a bulldozer, and heterogeneous machines will beat humanoids. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: A robot needs far less memory than it seems, because Moravec's paradox says the cognitively demanding tasks are the ones that need context, not the physical ones. — tap to centre the map on it A robot needs far less memory than it seems, because Moravec's paradox says the cognitively demanding tasks are the ones that need context, not the physical ones. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: A robot that can run a household is a single-digit number of years away, and the missing pieces are a synthesis of ideas we already have rather than new ones. — tap to centre the map on it A robot that can run a household is a single-digit number of years away, and the missing pieces are a synthesis of ideas we already have rather than new ones. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — 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 2 months 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 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data. — tap to centre the map on it A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A good robotaxi demonstration in one city does not mean the company is ready to scale the service. — tap to centre the map on it A good robotaxi demonstration in one city does not mean the company is ready to scale the service. Last stated a year ago
8 Jul 2025
TL
Timothy B. Lee — holds since 2025-07-08 — tap for who they are
Same subject: A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled. — tap to centre the map on it A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled. Last stated 2 years ago
21 May 2024
TL
Timothy B. Lee — holds since 2024-05-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 3 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
At the centre
Robots will not be able to beat the best human basketball players in a full game by 2040.
Holds Read this korrent →
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
A robot does not need video to remember the last hour: past a few seconds, memory can be a text summary of what happened.
Holds
A robot going down a wrong path is not producing training data; the efficient move is for a human to intervene and show the recovery.
Holds
A robot is not a mechanical person; the right analogy is a car or a bulldozer, and heterogeneous machines will beat humanoids.
Holds
A robot needs far less memory than it seems, because Moravec's paradox says the cognitively demanding tasks are the ones that need context, not the physical ones.
Holds
A robot that can run a household is a single-digit number of years away, and the missing pieces are a synthesis of ideas we already have rather than new ones.
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Holds
A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data.
Holds
A good robotaxi demonstration in one city does not mean the company is ready to scale the service.
Holds
A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds