Human Brain vs. Neural Networks
Simon discusses the complexity of the human brain compared to neural networks, highlighting the rich functional dynamics that lead to the emergence of agency and moral status. He explores how large language models like GPT resemble the human mind in terms of context and short-term memory, hinting at the potential for systems to mimic human-like thinking processes.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Related Questions
Can large language models replicate human behavior as discussed in the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Language Models Interacting?
Can large language models replicate human behavior as discussed in the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Language Models Interacting?