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← Whether anyone can actually do anything about how good the future is,…
17 connected korrents · 13 moments from 19 Oct 2021 to 19 Sept 2026.
Everything filed under LLMs
LLMs
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ambition
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reinforcement learning
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AI alignment
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AI and jobs
Everything filed under AGI
AGI 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: Whether anyone can actually do anything about how good the future is, rather than whether it matters, is the strongest objection to prioritising it. Whether anyone can actually do anything about how good the future is, rather than whether it matters, is the strongest objection to prioritising it. Last stated a year ago
3 Aug 2025
WM
William MacAskill — holds since 2025-08-03 — tap for who they are
Same subject: Working on how good the long-run future is does not require accepting consequentialism or believing that you should always maximise the good. — tap to centre the map on it Working on how good the long-run future is does not require accepting consequentialism or believing that you should always maximise the good. Last stated a year ago
3 Aug 2025
WM
William MacAskill — holds since 2025-08-03 — tap for who they are
Same subject: Improving how good the future turns out to be, given that humanity survives, is roughly as high a priority as preventing extinction. — tap to centre the map on it Improving how good the future turns out to be, given that humanity survives, is roughly as high a priority as preventing extinction. Last stated a year ago
3 Aug 2025
WM
William MacAskill — holds since 2025-08-03 — tap for who they are
Same subject: We should act on the assumption that we have almost no idea what the best futures would look like, so committing today to any particular vision would be a great mistake. — tap to centre the map on it We should act on the assumption that we have almost no idea what the best futures would look like, so committing today to any particular vision would be a great mistake. Last stated a year ago
3 Aug 2025
WM
William MacAskill — holds since 2025-08-03 — tap for who they are
Same subject: A common-sense utopia is much closer to the present day than it is to the best futures actually available to us. — tap to centre the map on it A common-sense utopia is much closer to the present day than it is to the best futures actually available to us. Last stated a year ago
3 Aug 2025
WM
William MacAskill — holds since 2025-08-03 — tap for who they are
Same subject: Longtermism is not the same thing as caring about the long-term future or about future generations; it goes far beyond that. — tap to centre the map on it Longtermism is not the same thing as caring about the long-term future or about future generations; it goes far beyond that. Last stated 5 years ago
19 Oct 2021
ÉT
Émile P. Torres — holds since 2021-10-19 — tap for who they are
Same subject: It is better to be an optimist who works hard than a pessimist who writes about why things will not work, because no amount of such essays moves society forward. — tap to centre the map on it It is better to be an optimist who works hard than a pessimist who writes about why things will not work, because no amount of such essays moves society forward. Last stated 3 months ago
4 Aug 2026
SA
Sam Altman — holds since 2026-08-04 — tap for who they are
Same subject: People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one. — tap to centre the map on it People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold. — tap to centre the map on it The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold. Last stated a month ago
19 Sept 2026
NL
Nathan Lambert — holds since 2026-09-19 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 5 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — 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 model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — 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 3 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 11 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 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
At the centre
Whether anyone can actually do anything about how good the future is, rather than whether it matters, is the strongest objection to prioritising it.
Holds Read this korrent →
Working on how good the long-run future is does not require accepting consequentialism or believing that you should always maximise the good.
Holds
Improving how good the future turns out to be, given that humanity survives, is roughly as high a priority as preventing extinction.
Holds
We should act on the assumption that we have almost no idea what the best futures would look like, so committing today to any particular vision would be a great mistake.
Holds
A common-sense utopia is much closer to the present day than it is to the best futures actually available to us.
Holds
Longtermism is not the same thing as caring about the long-term future or about future generations; it goes far beyond that.
Holds
It is better to be an optimist who works hard than a pessimist who writes about why things will not work, because no amount of such essays moves society forward.
Holds
People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one.
Holds
The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
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
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
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