Oct 24, 2026, 1:59 PM@mjd , doing the hard part yourself is one factor of responsible use, the one most positivists are ignoring. You'll take professional responsibility and never blame your tools because you're a pro and a craftsman both, and that's not new to us; if my tool isn't sharp, that's on me too. So you'll avoid the self-hollowing downside.
Your limited use mostly avoids my original reason for preferring engineered expert systems over trained networks which mostly still applies
Oct 24, 2026, 2:09 PM@mjd
... that trained NNet Models can't provide explanations or audits (subtly different but overlapping the more usual 'non deterministic' complaint), which is still an indictment for decision support, finance, HR applications of this 4th generation of perceptrons.
The several new ethical issues with the economics of omnipresent Large deep general purpose core models ( incl. externality costs) remain.
(small local models don't pose fresh externalities but may be derived...)