timscarfe t1_j1jz3nx wrote on December 24, 2022 at 11:40 PM

Reply to [R] Talking About Large Language Models - Murray Shanahan 2022 by Singularian2501

I just interviewed Murray on MLST about this paper and his views on consciousness -- see https://www.youtube.com/watch?v=BqkWpP3uMMU

timscarfe t1_izikxup wrote on December 9, 2022 at 11:06 AM

Reply to [R] Large language models are not zero-shot communicators by mrx-ai

We interviewed Laura at NeurIPS last week here -- https://youtu.be/5Yd28ssDutA

timscarfe OP t1_ivqek21 wrote on November 9, 2022 at 9:12 PM

Reply to comment by billy_of_baskerville in [D] What does it mean for an AI to understand? (Chinese Room Argument) - MLST Video by timscarfe

Nice blog post, cheers!

timscarfe OP t1_ivpzio5 wrote on November 9, 2022 at 7:36 PM

Reply to comment by Nameless1995 in [D] What does it mean for an AI to understand? (Chinese Room Argument) - MLST Video by timscarfe

Great response

timscarfe OP t1_ivowy2o wrote on November 9, 2022 at 3:25 PM

Reply to comment by Philience in [D] What does it mean for an AI to understand? (Chinese Room Argument) - MLST Video by timscarfe

This is not true at all, and not relevant for this discussion

Neural networks are finite state automatas (FSAs), they are very simple computation models (far simpler than normal computer programs, which are at the top of the chomsky hierarchy i.e. Turing machines)

See https://arxiv.org/abs/2207.02098 for a primer "Neural Networks and the Chomsky Hierarchy"