| The advanced capabilities of scaled up transformer models fed oodles of training data has burdened me with pseudo-philosophical questions about the nature of cognition that I am not well equipped to articulate, and make me wish I'd studied more neuroscience, philosophy, and comp sci earlier in life. A possibly off-topic thought dump: - What is thinking, exactly? - Does human (or superhuman) thinking require consciousness? - What even is consciousness? Why is it that when you take a bunch of molecular physical laws and scale them up into a human brain, a signal pattern emerges that feels things like emotions, continuity between moments, desires, contemplation of itself and the surrounding universe, and so on? - Why and how does a string predictor on steroids turn out to do things that seem so close to a practical definition of thinking? What are the best evidence-based arguments supporting and opposing the statement "GPT4 thinks"? How do people without OpenAI's level of model access try to answer this question? (And yes, it's occurred to me that I could try asking GPT4 to help me make these questions more complete) |
Welcome to the club. There pretty much are no answers, just theories primarily played out as thought experiments. Its on of those areas where you can pick out who knows less (or is being disingenuous) by seeing who most confidently speaks about having answers.
We don't know what consciousness is, and we don't know what it means to "think". There, I saved you a decade of reading.
Edit: My choice theory is panpsychism, https://plato.stanford.edu/entries/panpsychism/ but again, we don't yet know how to verify any of this (or any other theory).