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← Open-source text embedding models run well enough on consumer hardware to be practical for real tasks.
15 connected korrents · 16 moments on record from 14 Mar 2019 to 15 Sept 2026. Nearly all of them are about LLMs .
Everything filed under open source
open source
Everything filed under Anthropic
Anthropic
Everything filed under measuring intelligence
measuring intelligence
Everything filed under AGI
AGI
Everything filed under Google
Google 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: Open-source text embedding models run well enough on consumer hardware to be practical for real tasks. Open-source text embedding models run well enough on consumer hardware to be practical for real tasks. Last stated 8 months ago
23 Jan 2026
AW
Adam Wiggins — holds since 2026-01-23 — tap for who they are
Same subject: Text embeddings produced by different large language models converge on a shared, universal geometric structure regardless of architecture or training data. — tap to centre the map on it Text embeddings produced by different large language models converge on a shared, universal geometric structure regardless of architecture or training data. Last stated a year ago
5 Jun 2025
SH
Samuel Hammond — holds since 2025-06-05 — tap for who they are
Same subject: The performance gap between closed-source and open-weight language models is closing. — tap to centre the map on it The performance gap between closed-source and open-weight language models is closing. Last stated 2 years ago
15 Apr 2024
SR
Sebastian Ruder — holds since 2024-04-15 — tap for who they are
Same subject: Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them. — tap to centre the map on it Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them. Last stated 4 months ago
16 May 2026
SR
Sebastian Raschka — holds since 2026-05-16 — tap for who they are
Same subject: There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one. — tap to centre the map on it There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one. Last stated 10 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — 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: Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. — tap to centre the map on it Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — 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 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: A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource. — tap to centre the map on it A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource. Last stated 5 years ago
17 Mar 2022
FV
Filippo Valsorda — holds since 2022-03-17 — tap for who they are
NA
Nadia Asparouhova — holds since 2019-03-14 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 3 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. — tap to centre the map on it A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. Last stated 4 months ago
10 May 2026
ER
Eric Ries — holds since 2026-05-10 — tap for who they are
Same subject: Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million. — tap to centre the map on it Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million. Last stated 6 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
At the centre
Open-source text embedding models run well enough on consumer hardware to be practical for real tasks.
Holds Read this korrent →
Text embeddings produced by different large language models converge on a shared, universal geometric structure regardless of architecture or training data.
Holds
The performance gap between closed-source and open-weight language models is closing.
Holds
Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them.
Holds
There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one.
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
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
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 company that will not accept a project’s terms is free to go and use a more permissive project instead.
Holds
A contribution is a cost to the maintainer, not a gift: it is taking part, not merely using the code, that consumes a project’s scarcest resource.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Holds
Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million.
Holds