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← Local AI models will eventually catch up to frontier models once frontier progress hits diminishing returns.
17 connected korrents · 18 moments from 1 Sept 2018 to 26 Oct 2026.
Everything filed under LLMs
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scaling laws
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innovation
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AI agents 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: Local AI models will eventually catch up to frontier models once frontier progress hits diminishing returns. Local AI models will eventually catch up to frontier models once frontier progress hits diminishing returns. Last stated 9 months ago
8 Feb 2026
DC
David Crawshaw — holds since 2026-02-08 — tap for who they are
Same subject: The gap between local and cloud AI models is significant, and even high-end hardware cannot match frontier cloud capabilities. — tap to centre the map on it The gap between local and cloud AI models is significant, and even high-end hardware cannot match frontier cloud capabilities. Last stated 8 months ago
8 Mar 2026
RC
Rui Carmo — holds since 2026-03-08 — tap for who they are
Same subject: The capability gap between smaller, locally-run AI models and larger models will narrow over time as compute becomes more accessible. — tap to centre the map on it The capability gap between smaller, locally-run AI models and larger models will narrow over time as compute becomes more accessible. Last stated 6 months ago
27 Apr 2026
JS
Jon Seager — holds since 2026-04-27 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: A frontier AI model's competitive lead decays within months to a year as others catch up. — tap to centre the map on it A frontier AI model's competitive lead decays within months to a year as others catch up. Last stated 2 months ago
26 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-26 — tap for who they are
Same subject: The progress of AI, like the progress of everything else, will eventually plateau. — tap to centre the map on it The progress of AI, like the progress of everything else, will eventually plateau. Last stated 8 years ago
1 Sept 2018
PD
Pedro Domingos — holds since 2018-09-01 — tap for who they are
Same subject: There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. — tap to centre the map on it There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. Last stated 2 months ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. — tap to centre the map on it The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. Last stated a month ago
30 Sept 2026
RC
Rui Carmo — holds since 2026-09-30 — tap for who they are
Same subject: Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other. — tap to centre the map on it Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other. Last stated a month ago
22 Sept 2026
BR
Barry Ritholtz — holds since 2026-09-22 — 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: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A CPU and memory crunch is coming. — tap to centre the map on it A CPU and memory crunch is coming. Last stated a week ago
26 Oct 2026
DM
Dillon Mulroy — holds since 2026-10-26 — 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: The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work. — tap to centre the map on it The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
At the centre
Local AI models will eventually catch up to frontier models once frontier progress hits diminishing returns.
Holds Read this korrent →
The gap between local and cloud AI models is significant, and even high-end hardware cannot match frontier cloud capabilities.
Holds
The capability gap between smaller, locally-run AI models and larger models will narrow over time as compute becomes more accessible.
Holds
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
A frontier AI model's competitive lead decays within months to a year as others catch up.
Holds
The progress of AI, like the progress of everything else, will eventually plateau.
Holds
There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever.
Holds
The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled.
Holds
Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other.
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
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A CPU and memory crunch is coming.
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
The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work.
Holds