media.ccc.de
2 HN recommenders · recommended in 3 months, 2018–2020
1:01:40 · 85K views · Dec 29, 2015
Joscha Bach's 32C3 talk applies computational theories of mind to questions of meaning, emotion, and love, asking how computation can explain irrational-seeming human experience.
Recommended as one of the best bridges between mind and computation, and as a sample of Bach's thinking on AI and philosophy.
3 comments from Hacker News
The best I've seen the topic of mind and computation bridged and well communicated has been by Joscha Bach. Recommend watching this video on Computational Meta-Psychology [1]. Also his 3 hour conversation with Lex Fridman is a whole other amazing rabbit hole [2]. [1] this video [2] [LINK]
He is definitely one of the most interesting people to listen to when it comes to AI, Intelligence and Philosophy. I've seen him in Leipzig on CCC events in the past, here are some of his other talks: * Computational Meta-Intelligence (32C3): this video * Machine Dreams (33C3): [LINK] * The Ghost in the Machine (35C3): [LINK] He also did a very interesting podcast episode with Fefe and Frank from alternativlos! (in German): [LINK]
> In general I'd say the best tactic is to learn as much as you can yourself (while remembering to be honest with yourself) and pursue general purpose coping strategies across the board (for example, mindfulness based cognitive therapy). Yup, that's exactly what I've been doing for years now. I've read through quite a bit of stuff ranging from Freud, Jung, B.F. Skinner to Edward de Bono and countless others in addition to lots of Wikipedia surfing and study reading. A rather common theme among a lot of them: Many of them went into studying psychology as an attempt to diagnose their own issues and often it feels more like reading philosophy rather than actual medical science. I wonder if we will ever be able to articulate something like a "Grand Unified Theory of the mind"? Considering how much of this is subjective to the individual and atop of that the individual's brain physiology, it seems like an impossible task. But then I see stuff like talks by Joscha Bach on C3 [0] [1] [2] and it's quite inspirational as it gives me hope that creating strong AI might actually help us understand what's going on under our own hoods a little bit better. [0] [LINK] [1] this video [2] [LINK]