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← Distilling from another lab's model is standard industry practice, not…
12 connected korrents · 13 moments from 21 Mar 2023 to 15 Sept 2026.
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AI and jobs 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: Distilling from another lab's model is standard industry practice, not cheating; who you distill from just depends on whether you have products to protect. Distilling from another lab's model is standard industry practice, not cheating; who you distill from just depends on whether you have products to protect. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: Distillation is the most significant debate surrounding open AI models in 2026. — tap to centre the map on it Distillation is the most significant debate surrounding open AI models in 2026. Last stated 2 months ago
11 Sept 2026
NL
Nathan Lambert — holds since 2026-09-11 — tap for who they are
Same subject: Your dependency's business model is your business model, so building a harness around one lab's model is a commercial risk and not a technical choice. — tap to centre the map on it Your dependency's business model is your business model, so building a harness around one lab's model is a commercial risk and not a technical choice. Last stated 3 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
Same subject: As labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity. — tap to centre the map on it As labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity. Last stated 8 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. — tap to centre the map on it "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 3 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first. — tap to centre the map on it A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first. Last stated 5 months ago
16 Jun 2026
BW
Brett Williams — holds since 2026-06-16 — tap for who they are
Same subject: Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact. — tap to centre the map on it Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact. Last stated 2 months ago
15 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-15 — tap for who they are
Same subject: An AI coding assistant's tendency to infer what a user means rather than exactly what they typed is both its greatest strength and the reason it is hard to trust. — tap to centre the map on it An AI coding assistant's tendency to infer what a user means rather than exactly what they typed is both its greatest strength and the reason it is hard to trust. Last stated 9 months ago
22 Jan 2026
SK
Steve Klabnik — holds since 2026-01-22 — tap for who they are