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← Releasing open weights is irreversible in a way that deploying a…

3 connected korrents · 5 moments on record from 13 Sept 2023 to 5 Apr 2025.

Same subjectSame subjectSame subject Read this korrent: Releasing open weights is irreversible in a way that deploying a hosted model is not, so its risks cannot be mitigated later. Releasing open weights is irreversible ina way that deploying a hosted model isnot, so its risks cannot be mitigatedlater. Last stated 2 years ago 8 Nov 2024 JL Jan Leike — holds since 2024-11-08 — tap for who they are Same subject: Once model weights leave their owner's control the loss is irreversible, which is why securing them is the precondition for governing AI at all. — tap to centre the map on it Once model weights leave theirowner's control the loss isirreversible, which is why securingthem is the precondition forgoverning AI at all. Last stated 2 years ago 20 Dec 2024 JL Jan Leike — holds since 2023-09-13 — tap for who they are MB Miles Brundage — holds since 2024-12-20 — tap for who they are Same subject: Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. — tap to centre the map on it Delaying the open release of a newcapability by months or years isworth doing, even though preventingits spread indefinitely is not. Last stated a year ago 5 Apr 2025 HT Helen Toner — holds since 2025-04-05 — tap for who they are Same subject: Open sourcing a foundation model creates significantly more value than the risk it carries. — tap to centre the map on it Open sourcing a foundation modelcreates significantly more valuethan the risk it carries. Last stated 3 years ago 28 Sept 2023 MZ Mark Zuckerberg — holds since 2023-09-28 — tap for who they are
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At the centre Releasing open weights is irreversible in a way that deploying a hosted model is not, so its risks cannot be mitigated later. Last stated 8 Nov 2024 · 2 years ago Holds Jan Leike Read this korrent →