AI Safety Researcher @AE Studio
Currently researching a neglected prior for cooperation and honesty inspired by the cognitive neuroscience of altruism called self-other overlap in state-of-the-art ML models.
Previous SRF @ SERI 21', MLSS & Student Researcher @ CAIS 22' and LTFF grantee.
Any n-bit hash function will produce collisions when the number of elements in the hash table gets large enough (after the number of possible hashes stored in n bits has been reached) so adding new elements will require rehashing to avoid collisions making GLUT have a logarithmic time complexity in the limit. Meta-learning can also have a constant time complexity for an arbitrarily large number of tasks, but not in the limit, assuming a finite neural network.