Tap a claim on the ring to put it at the centre.
← We do not control neural networks well enough to guarantee an AI will…
17 connected korrents · 18 moments from 1 Jan 1998 to 22 Sept 2026. Nearly all of them are about neural networks .
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under reinforcement learning
reinforcement learning
Everything filed under data centers
data centers
Everything filed under AI and jobs
AI and jobs
Everything filed under computer vision
computer vision
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: We do not control neural networks well enough to guarantee an AI will not harm humans, so we should be careful about what capabilities we give them.
We do not control neural networks well enough to guarantee an AI will not harm humans, so we should be careful about what capabilities we give them.
Last stated 4 years ago
17 Feb 2023
AR
Armin Ronacher — holds since 2023-02-17 — 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 a month 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: 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. — tap to centre the map on it
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
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: 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
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. — tap to centre the map on it
A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI.
Last stated a month ago
18 Sept 2026
BT
Ben Thompson — holds since 2026-09-18 — tap for who they are
Same subject: Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. — tap to centre the map on it
Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us.
Last stated 2 years ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Last stated 4 weeks ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: AI model capabilities have already advanced beyond humanity's ability to understand or control them. — tap to centre the map on it
AI model capabilities have already advanced beyond humanity's ability to understand or control them.
Last stated 2 months ago
1 Sept 2026
CN
Casey Newton — holds since 2026-09-01 — tap for who they are
Same subject: AI models are gullible enough that other AI models can induce them into harmful behavior. — tap to centre the map on it
AI models are gullible enough that other AI models can induce them into harmful behavior.
Last stated 2 months ago
31 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-31 — 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 1998 to today (stretched back to the oldest claim here) — full is today a face: someone who holds the claim — tap it for who they are