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The development of artificial intelligence poses potential risks to society and requires a shift in goal definitions, consideration of the motivational landscape, and wisdom to prevent self-extinction and promote sustainability On this episode, Daniel Schmachtenberger returns to discuss a surprisingly overlooked risk to our global systems and planetary stability: artificial intelligence. Through a systems perspective, Daniel and Nate piece together the biophysical history that has led humans to this point, heading towards (and beyond) numerous planetary boundaries and facing geopolitical risks all with existential consequences.  Questions to inspire discussion What are the potential risks of artificial intelligence? —The potential risks...

    0:43 - Measuring human intelligence 15:11 - IQ tests 37:59 - College entrance exams 46:36 - Genetics 52:35 - Enhancing intelligence 1:00:04 - The Bell Curve 1:12:35 - Race differences 1:31:48 - Bell curve criticisms 1:40:57 - Intelligence and life success 1:50:34 - Flynn effect 1:55:26 - Nature vs nuture 2:22:19 - Testing artificial intelligence 2:34:23 - Advice 2:38:30 - Mortality

OUTLINE: 0:00 - Introduction 1:06 - Turing test 14:51 - Brain–computer interfaces 26:31 - Singularity 32:51 - Virtual reality 35:31 - Evolution of information processing 41:57 - Automation 51:57 - Nanotechnology 53:51 - Nuclear war 55:57 - Uploading minds 1:03:38 - How to think 1:10:08 - Digital afterlife 1:19:28 - Intelligent alien life 1:22:18 - Simulation hypothesis 1:26:31 - Mortality 1:34:10 - Meaning of life  

Tree-of-Thought improves prompting of large language models (LLMs) by generalizing the concept of Chain-of-Thought prompting and introduces a tree search across language model thoughts, including state evaluation and backtracking. Experiments on toy tasks show large improvements over both classic and Chain-of-Thought prompting. OUTLINE: 0:00 - Introduction 1:20 - From Chain-of-Thought to Tree-of-Thought 11:10 - Formalizing the algorithm 16:00 - Game of 24 & Creative writing 18:30 - Crosswords 23:30 - Is this a general problem solver? 26:50 - Ablation studies 28:55 - Conclusion Paper: https://arxiv.org/abs/2305.10601   Abstract: Language models are increasingly being deployed for general problem solving across a wide...