RUMORS OF AI USE DECLINE IN BIZ ARE NONSENSE
(a) it’s a tiny 2% decline on a small number in the first place (meaningless)
(b) It’s because the initial interest level was over-reported due to status signal fears.
(c) It looks like they found the source of hallucination (and it was obvious).
(d) We (NLI- Runcible) have the solution to ‘truthfulness’ and ‘data curation’ – so the quality problem is solvable.
(e) Their problem is they mixed the data with alignment. Whereas to know the truth you must discover it first, and then align for the government, culture, or user as required or preferred afterward. This separates the logical reasoning from the delivery of the message.
The primary issues I have found is that they raise the temperature to get more ideation and less precision, and that the alignment bias is integrated into the foundation model, so that not only is the data un-curated, not only is it contain falsehoods, not only is it postwar normatively biased, not only is it feminine sensitivity biased, but together it’s very difficult to reason on one hand, and very difficult to constrain it from bias in the second.
Source date (UTC): 2025-09-10 14:29:10 UTC
Original post: https://twitter.com/i/web/status/1965784619544141968
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