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← The performance gap between closed-source and open-weight language models is closing.
17 connected korrents · 17 moments from 10 Dec 2015 to 21 Oct 2026. Nearly all of them are about LLMs .
Everything filed under open source
open source
Everything filed under neural networks
neural networks
Everything filed under AI alignment
AI alignment
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: The performance gap between closed-source and open-weight language models is closing. The performance gap between closed-source and open-weight language models is closing. Last stated 3 years ago
15 Apr 2024
SR
Sebastian Ruder — holds since 2024-04-15 — tap for who they are
Same subject: A computer scientist refusing to find anything about LLMs interesting right now is a bit like a geneticist unimpressed by a newly opened Jurassic Park. — tap to centre the map on it A computer scientist refusing to find anything about LLMs interesting right now is a bit like a geneticist unimpressed by a newly opened Jurassic Park. Last stated 2 months ago
18 Sept 2026
SW
Simon Willison — holds since 2026-09-18 — tap for who they are
Same subject: A language model avoids hallucinating only by being factual and admitting when it does not know the answer. — tap to centre the map on it A language model avoids hallucinating only by being factual and admitting when it does not know the answer. Last stated 2 years ago
7 Jul 2024
LW
Lilian Weng — holds since 2024-07-07 — 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 a month ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. — tap to centre the map on it A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: A language model cannot be trusted to judge which of its own results are actually significant or interesting. — tap to centre the map on it A language model cannot be trusted to judge which of its own results are actually significant or interesting. Last stated 2 months ago
18 Sept 2026
DA
Dan Abramov — holds since 2026-09-18 — tap for who they are
Same subject: A language model cannot produce work that is both original and good, because nothing gives it a score for originality. — tap to centre the map on it A language model cannot produce work that is both original and good, because nothing gives it a score for originality. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: A language model is a universal virtual reality generator that can be programmed to render any environment. — tap to centre the map on it A language model is a universal virtual reality generator that can be programmed to render any environment. Last stated 2 weeks ago
21 Oct 2026
BM
Bruno Maçães — holds since 2026-10-21 — 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: 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: Open-source text embedding models run well enough on consumer hardware to be practical for real tasks. — tap to centre the map on it Open-source text embedding models run well enough on consumer hardware to be practical for real tasks. Last stated 9 months ago
23 Jan 2026
AW
Adam Wiggins — holds since 2026-01-23 — tap for who they are
Same subject: A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable. — tap to centre the map on it A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable. 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 business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. — tap to centre the map on it A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A codec does not really exist until everyone can decode it. — tap to centre the map on it A codec does not really exist until everyone can decode it. Last stated 5 months ago
31 May 2026
JK
Jean-Baptiste Kempf — holds since 2026-05-31 — tap for who they are
Same subject: A company that will not accept a project’s terms is free to go and use a more permissive project instead. — tap to centre the map on it A company that will not accept a project’s terms is free to go and use a more permissive project instead. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale. — tap to centre the map on it In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas. — tap to centre the map on it Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas. Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
GM
Gary Marcus — holds since 2024-10-11 — tap for who they are
Same subject: Turning a breakout open-source project into a company would be the wrong move -- joining a lab reaches everyone faster than building another large company. — tap to centre the map on it Turning a breakout open-source project into a company would be the wrong move -- joining a lab reaches everyone faster than building another large company. Last stated 9 months ago
14 Feb 2026
PS
Peter Steinberger — holds since 2026-02-14 — tap for who they are
At the centre
The performance gap between closed-source and open-weight language models is closing.
Holds Read this korrent →
A computer scientist refusing to find anything about LLMs interesting right now is a bit like a geneticist unimpressed by a newly opened Jurassic Park.
Holds
A language model avoids hallucinating only by being factual and admitting when it does not know the answer.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world.
Holds
A language model cannot be trusted to judge which of its own results are actually significant or interesting.
Holds
A language model cannot produce work that is both original and good, because nothing gives it a score for originality.
Holds
A language model is a universal virtual reality generator that can be programmed to render any environment.
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
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.
Holds
Open-source text embedding models run well enough on consumer hardware to be practical for real tasks.
Holds
A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable.
Holds
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Holds
A codec does not really exist until everyone can decode it.
Holds
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Holds
In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale.
Holds
Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas.
Holds
Turning a breakout open-source project into a company would be the wrong move -- joining a lab reaches everyone faster than building another large company.
Holds