Dear All,
The "Wittgen=steine" talks continue Friday, June 26th, 3-4:30pm, in NIG
lecture hall 3D:
Thomas Raleigh (University of Luxemburg) will speak on:
Rule-Following and Machine Learning
26.06.2026, 15.00-16.30h, HS 3D
Abstract: Deep Neural Networks trained via machine learning can
sometimes appear to be successfully performing some intended function
but then surprisingly diverge from the intended function for some new
inputs. This sort of misalignment bears a striking similarity to the
sort of hypothetical scenario discussed by Wittgenstein - and later
Kripke - in which a pupil appears to have successfully learned a rule,
such as continually adding 2 each time, but then suddenly starts to
continue the series in a divergent, deviant way. In this talk I will
explore whether and how the 'Kripkensteinian' rule-following paradox is
relevant for current AI technology. In particular I critically respond
to recent claims by Arvan (2025) that the rule-following paradox allows
for a 'proof' that it is impossible to interpret or align Large Language
Models. If there is time at the end, I will also try to say something
positive (and somewhat speculative!) about how Wittgenstein's
rule-following remarks do bear on the topic of AI and machine learning.
All welcome!
Best wishes,
Esther Heinrich-Ramharter
Anja Weiberg
Martin Kusch