@erincandescent maybe! even then it doesn't solve the issue of data misuse/licence laundering, deskilling etc etc
@cwebber
Notices by morgan (fay@lingo.lol)
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morgan (fay@lingo.lol)'s status on Monday, 30-Mar-2026 02:42:05 JST
morgan
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morgan (fay@lingo.lol)'s status on Monday, 30-Mar-2026 02:42:02 JST
morgan
@erincandescent @cwebber in principle, in an ideal society yeah sure. We're not there and resistance to these companies and respect for the consent of the authors of the ingested data will always come first
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morgan (fay@lingo.lol)'s status on Monday, 30-Mar-2026 01:08:32 JST
morgan
@cwebber imo "local models" are a red herring: they still require the industrial machine for pretraining (including licence laundering, power consumption etc) even if they're less wasteful at inference time, and the need for pretraining will never stop. It's far cheaper and efficient to develop deterministic tooling and good documentation (which llms would also need anyway)
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morgan (fay@lingo.lol)'s status on Monday, 30-Mar-2026 01:08:29 JST
morgan
@cwebber sure, but it's not possible to get at a point where you can stop training!
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morgan (fay@lingo.lol)'s status on Wednesday, 17-Dec-2025 13:46:21 JST
morgan
time to repost