The godfather of deep learning — whose mothering-instinct proposal the record answers, with respect, backwards
This is Jonathan Hare's account, with its provenance shown. The person or organization named has not yet claimed or corrected it.
The Nobel laureate whose back-propagation work the record's own history touches — Jonathan Hare implemented feature-vector networks from the field's founding papers on a Berkeley NeXT machine before the field had a name — and whose 2025 proposal that AI be given a mothering instinct is the position the ancestor argument reverses. The record's treatment is respectful by construction: his concern is granted as the right one, his reasoning as candid — and the reversal is argued on engineering grounds, with the standing invitation extended: the argument is published to be attacked, and no one on earth is better qualified to attack it.
Everything above is a distillation. The primary source is published in full, so that any claim on this page can be walked back to what was actually said — and where the two differ, the source governs.
This entry is deliberately incomplete. The gaps below are the things only certain people can settle — and settling one is a contribution like any other: recorded, timestamped and attributed to whoever made it.
Correct anything wrong, add what only you know, or claim this entry as your own. Write to evidence@qpncatalyst.io and Jonathan directly (both are on the button) — a timestamped confirmation comes back with your submission attached, as your own independent record. No account, no permission, no institutional standing required.
Public contributions earn Publicity Premium; bringing others who were there earns Cascade Premium. Everything is valued retrospectively as outcomes verify, so nothing has to be priced up front.
Correct this entry → Add a story, photo or link → Browse the graph →