The p-zombie theory of consciousness

The rise of generative AI and large-language models (LLMs) have forced computer scientists and philosophers to ask a fundamental question: what is the definition of intelligence and consciousness? Are they the same or different? When we input words into a chatbot, are we seeing the early inklings of a general intelligence or merely the rudiments of a really good statistical parrot? These are modern questions, but also ones that have been addressed by philosophers and novelists for years, as well as the occasional philosopher-novelist. One of those rare breed is the subject of this week’s “Securities”, specifically the novel Blindsight, the first of two books in the Firefall series written by Peter Watts back in 2008. It’s a wild ride of dozens of ideas, some of which we’ll talk about today. Spoilers abound so caveat emptor. Joining Danny Crichton is Lux’s own scientist-in-residence Sam Arbesman as well as Gordon Brander, who runs the company Subconcious, which is building tools of thought such as Noosphere, which is a decentralized network of your notes backed by IPFS, as well as Subconscious, which is a social network built around those notes that allows you to think together with others. Think of it as a multiplayer version of Roam. We talk about a bunch of concepts today, from the distinction between consciousness and intelligence, Searle’s Chinese Room, the Scrambler consciousness test, whether consciousness is necessary for intelligence, and then for fun, a look at intelligence and the Large Language Models that have sprung up in generative AI. Approachable, but bold – just as Watts approaches his works. "Securities" podcast is produced, recorded, and edited by Chris Gates