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← Moral understanding is not improving as science is, and people should stop being wolves to one another
17 connected korrents · 17 moments from 8 Feb 1780 to 19 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under innovation
innovation
Everything filed under AI alignment
AI alignment
Everything filed under AI and human skill
AI and human skill
Everything filed under reinforcement learning
reinforcement learning
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: Moral understanding is not improving as science is, and people should stop being wolves to one another Moral understanding is not improving as science is, and people should stop being wolves to one another Last stated 247 years ago
8 Feb 1780
BF
Benjamin Franklin — holds since 1780-02-08 — tap for who they are
Same subject: Locking humanity into one model's or one company's moral worldview would buy a little short-term safety and cost a long-term disaster. — tap to centre the map on it Locking humanity into one model's or one company's moral worldview would buy a little short-term safety and cost a long-term disaster. Last stated 2 months ago
28 Jul 2026
SA
Sam Altman — holds since 2026-07-28 — tap for who they are
Same subject: Justifying cruelty toward another person requires first reducing them to an abstraction rather than a full human being. — tap to centre the map on it Justifying cruelty toward another person requires first reducing them to an abstraction rather than a full human being. Last stated 9 months ago
14 Jan 2026
BT
Brandon Taylor — holds since 2026-01-14 — tap for who they are
Same subject: Scientific progress in biology is not slowing down. — tap to centre the map on it Scientific progress in biology is not slowing down. Last stated 7 years ago
15 Aug 2019
AG
Alexey Guzey — holds since 2019-08-15 — 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 2 weeks ago
19 Sept 2026
NL
Nathan Lambert — holds since 2026-09-19 — tap for who they are
Same subject: Thinking, judgement and knowledge are worth pursuing for the joy in them, not in order to defend human uniqueness. — tap to centre the map on it Thinking, judgement and knowledge are worth pursuing for the joy in them, not in order to defend human uniqueness. Last stated 4 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: AI alignment should be approached like governing a corporation through institutions, not like raising a virtuous individual. — tap to centre the map on it AI alignment should be approached like governing a corporation through institutions, not like raising a virtuous individual. Last stated a month ago
21 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-21 — tap for who they are
Same subject: Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn. — tap to centre the map on it Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: LLM intelligence should not be understood through an animal analogy; it is a different kind of entity altogether — tap to centre the map on it LLM intelligence should not be understood through an animal analogy; it is a different kind of entity altogether Last stated 9 months ago
19 Dec 2025
AK
Andrej Karpathy — holds since 2025-12-19 — tap for who they are
Same subject: "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. — tap to centre the map on it "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. Last stated 3 years ago
25 Oct 2023
AH
Anton Howes — holds since 2023-10-25 — tap for who they are
Same subject: A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. — tap to centre the map on it A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. Last stated 4 months ago
2 Jun 2026
JJ
Justin Jackson — holds since 2026-06-02 — tap for who they are
Same subject: A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. — tap to centre the map on it A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. Last stated 2 months ago
21 Jul 2026
RT
Ruxandra Teslo — holds since 2026-07-21 — 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 4 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 9 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 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 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
At the centre
Moral understanding is not improving as science is, and people should stop being wolves to one another
Holds Read this korrent →
Locking humanity into one model's or one company's moral worldview would buy a little short-term safety and cost a long-term disaster.
Holds
Justifying cruelty toward another person requires first reducing them to an abstraction rather than a full human being.
Holds
Scientific progress in biology is not slowing down.
Holds
The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold.
Holds
Thinking, judgement and knowledge are worth pursuing for the joy in them, not in order to defend human uniqueness.
Holds
AI alignment should be approached like governing a corporation through institutions, not like raising a virtuous individual.
Holds
Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn.
Holds
LLM intelligence should not be understood through an animal analogy; it is a different kind of entity altogether
Holds
"Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible.
Holds
A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use.
Holds
A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves.
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 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.
Holds