In episode 105 of The Gradient Podcast, Daniel Bashir speaks to Eric Jang.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (01:25) Updates since Eric’s last interview* (06:07) The problem space of humanoid robots* (08:42) Motivations for the book “AI is Good for You”* (12:20) Definitions of AGI* (14:35) ~ AGI timelines ~* (16:33) Do we have the ingredients for AGI?* (18:58) Rediscovering old ideas in AI and robotics* (22:13) Ingredients for AGI* (22:13) Artificial Life* (25:02) Selection at different levels of information—intelligence at different scales* (32:34) AGI as a collective intelligence* (34:53) Human in the loop learning* (37:38) From getting correct answers to doing things correctly* (40:20) Levels of abstraction for modeling decision-making — the neurobiological stack* (44:22) Implementing loneliness and other details for AGI* (47:31) Experience in AI systems* (48:46) Asking for Generalization* (49:25) Linguistic relativity* (52:17) Language vs. complex thought and Fedorenko experiments* (54:23) Efficiency in neural design* (57:20) Generality in the human brain and evolutionary hypotheses* (59:46) Embodiment and real-world robotics* (1:00:10) Moravec’s Paradox and the importance of embodiment* (1:05:33) How embodiment fits into the picture—in verification vs. in learning* (1:10:45) Nonverbal information for training intelligent systems* (1:11:55) AGI and humanity* (1:12:20) The positive future with AGI* (1:14:55) The negative future — technology as a lever* (1:16:22) AI in the military* (1:20:30) How AI might contribute to art* (1:25:41) Eric’s own work and a positive future for AI* (1:29:27) OutroLinks:* Eric’s book* Eric’s Twitter and homepage Get full access to The Gradient at thegradientpub.substack.com/subscribe