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← Access to large-scale generalist AI systems that could be weaponized…
17 connected korrents · 20 moments from 1 Jan 1998 to 21 Sept 2026.
Everything filed under neural networks
neural networks
Everything filed under open source
open source
Everything filed under AI alignment
AI alignment
Everything filed under China
China
Everything filed under video games
video games Cannot both be true Cannot both be true Cannot both be true Cannot both be true In tension In tension 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: Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. Last stated 3 years ago
24 Jun 2023
YB
Yoshua Bengio — holds since 2023-06-24 — tap for who they are
Cannot both be true: Keeping powerful models available only to a chosen few is not a good strategy. — tap to centre the map on it Keeping powerful models available only to a chosen few is not a good strategy. Last stated 3 months ago
7 Aug 2026
SA
Sam Altman — holds since 2026-08-07 — tap for who they are
Cannot both be true: No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence. — tap to centre the map on it No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence. Last stated 2 months ago
1 Sept 2026
DB
Dean W. Ball — holds since 2026-09-01 — tap for who they are
Cannot both be true: Open-source models are fundamentally necessary for most industries, countries and researchers to join the AI revolution at all. — tap to centre the map on it Open-source models are fundamentally necessary for most industries, countries and researchers to join the AI revolution at all. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Cannot both be true: Restricting US AI models does not work: China builds better ones and everyone switches to them. — tap to centre the map on it Restricting US AI models does not work: China builds better ones and everyone switches to them. Last stated 3 months ago
17 Jul 2026
PL
Pieter Levels — holds since 2026-07-17 — tap for who they are
In tension: Any given AI capability becomes cheap and widely available within a couple of years of first being reached, so nobody can be kept away from it for long. — tap to centre the map on it Any given AI capability becomes cheap and widely available within a couple of years of first being reached, so nobody can be kept away from it for long. Last stated 2 years ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
In tension: Frontier labs are incentivised toward fear because it justifies staying closed, which leaves open-source advocates rooting for Chinese labs. — tap to centre the map on it Frontier labs are incentivised toward fear because it justifies staying closed, which leaves open-source advocates rooting for Chinese labs. Last stated 2 months ago
21 Aug 2026
NR
Naval Ravikant — holds since 2026-08-21 — tap for who they are
Same subject: A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. — tap to centre the map on it A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. Last stated 2 months ago
7 Sept 2026
KK
Kevin Kelly — holds since 2026-09-07 — 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: AI is unlikely to be a hyperprofits engine for research labs whose attached companies make money serving neural-network calculations from datacenters. — tap to centre the map on it AI is unlikely to be a hyperprofits engine for research labs whose attached companies make money serving neural-network calculations from datacenters. Last stated a month ago
21 Sept 2026
BD
Brad DeLong — holds since 2026-09-21 — tap for who they are
Same subject: An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job. — tap to centre the map on it An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job. Last stated 7 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — 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: Complete reverse-engineering of neural networks is a less promising research direction than studying model biology and applying interpretability usefully — tap to centre the map on it Complete reverse-engineering of neural networks is a less promising research direction than studying model biology and applying interpretability usefully Last stated a year ago
19 Aug 2025
NN
Neel Nanda — holds since 2025-08-19 — tap for who they are
Same subject: Convolutional neural networks are specifically designed to handle variability in two-dimensional shapes. — tap to centre the map on it Convolutional neural networks are specifically designed to handle variability in two-dimensional shapes. Last stated 29 years ago
1 Jan 1998
YB
Yoshua Bengio — holds since 1998-01-01 — tap for who they are
Same subject: Depth is not free: past a point, deeper neural networks are harder to train rather than simply better. — tap to centre the map on it Depth is not free: past a point, deeper neural networks are harder to train rather than simply better. Last stated 11 years ago
10 Dec 2015
JS
Jian Sun — holds since 2015-12-10 — tap for who they are
KH
Kaiming He — holds since 2015-12-10 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are