The coronavirus pandemic is a global crisis, but it is also a moment that unites us, that reveals the strength of our community, the human capacity to be compassionate to each other and to work hard in the face of danger. In this video I describe what, to me, might be 7 levels of attack on our society and how we can fight back. For each level, I describe our pain, our challenge, and our hope for a positive future on the other side. Slides: https://bit.ly/2JdLQIs References: https://bit.ly/coronavirus-levels OUTLINE: 0:00 - Overview 4:00 - Level 1: Biological (Life & Death) 8:22 - Level 2: Psychological 10:44 - Level 3: Social (Collective Cognition) 14:06 - Level 4: Economic 17:53 - Level 5: Political 22:56 - Level 6: Existential 26:39 - Level 7: Philosophical CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman
An hour-by-hour breakdown of my daily routine. Support this podcast by supporting our sponsors: - Eight Sleep: https://eightsleep.com/lex - Athletic Greens: https://athleticgreens.com/lex - Public Goods: https://publicgoods.com/lex and use code LEX OUTLINE: 0:00 - Morning 1:17 - Mantra 5:22 - Deep Work Session 1 8:07 - Social media and guitar 9:53 - Exercise 13:03 - Shower 16:48 - Deep Work Session 2 19:30 - Eating 25:03 - Shallow Work Session 28:21 - Reading
I got my BJJ black belt yesterday from Phil Migliarese and Ricardo Migliarese at Balance Studios after 9 years of hard training and competing. I've learned more about life from martial arts than any other endeavor I've undertaken. The biggest lesson is that I'm not special, far from it, and that to get better at anything, you have to work hard. There are no shortcuts.
New Ask Me Anything (AMA) video every week. Ask questions for future AMAs as a reply to the pinned comment or on Patreon (which take priority): https://patreon.com/lexfridman Nothing is off limits: personal, math, science, tech, philosophy, art, music. Also, please click like on other people's questions that you would like to see answered. Lex AMA playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdEfD2VtObCncE4psXYAcpq
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/deep-learning-basics-slides Playlist: http://bit.ly/deep-learning-playlist Blog post: https://link.medium.com/TkE476jw2T OUTLINE: 0:00 - Introduction 0:53 - Deep learning in one slide 4:55 - History of ideas and tools 9:43 - Simple example in TensorFlow 11:36 - TensorFlow in one slide 13:32 - Deep learning is representation learning 16:02 - Why deep learning (and why not) 22:00 - Challenges for supervised learning 38:27 - Key low-level concepts 46:15 - Higher-level methods 1:06:00 - Toward artificial general intelligence CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman
A couple questions & answers on how I approach the process of learning. I'll try to do more of these if it's of value to anyone. These two questions today comes from Patreon: https://www.patreon.com/lexfridman
Challenge launch video: https://www.youtube.com/watch?v=xZlt2tqHd80 Follow my progress on this tracking sheet: https://bit.ly/3qiLI0Z Every day - 6 miles running - 510 push-ups - 170 pull-ups - 340 squats SOCIAL: Twitter: https://twitter.com/lexfridman Instagram: https://www.instagram.com/lexfridman LinkedIn: https://www.linkedin.com/in/lexfridman Facebook: https://www.facebook.com/lexfridman
New Ask Me Anything (AMA) video every week. Ask questions for future AMAs as a reply to the pinned comment or on Patreon (which take priority): https://patreon.com/lexfridman Nothing is off limits: personal, math, science, tech, philosophy, art, music. Also, please click like on other people's questions that you would like to see answered. Lex AMA playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdEfD2VtObCncE4psXYAcpq
Please support this podcast by checking out our sponsors: - Brooklinen: https://brooklinen.com and use code LEX to get $25 off + free shipping - Indeed: https://indeed.com/fridman to get $75 credit - ExpressVPN: https://expressvpn.com/lexpod and use code LexPod to get 3 months free - Theragun: https://theragun.com/lex to get 30 day trial PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:43 - Will AGI suffer from depression? 5:20 - Love is an escape from the muck of life 11:20 - What questions would you ask an alien? 20:04 - How to pivot careers to computer science 27:12 - What will robots look like in the future? 30:00 - Disagreement with Einstein about happiness 35:56 - How I pick podcast guests 45:32 - How to stay optimistic about the future 53:15 - Major topics I changed my mind on 1:00:45 - Benefits of keto diet 1:10:08 - Darkest time in my life CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
A couple hours of me traveling to this beautiful alternate reality. It was fun. Please check out our sponsors: - Theragun: https://theragun.com/lex to get 30 day trial - Grammarly: https://grammarly.com/lex to get 20% off premium OUTLINE: 0:00 - Introduction 1:28 - Character creation 10:41 - Gameplay starts 31:08 - Tutorial on shooting and hacking 38:07 - Rescue Sandra Dorsett 42:42 - Going home 49:46 - Neurosurgery and cybernetic implants 57:27 - Meeting with Dexter 1:03:06 - Picking up the robot dog 1:07:21 - Closing thoughts CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
Simulated existential crisis in the form of a video game. Please check out our sponsors: - Tryolabs: https://tryolabs.com/lex - Vincero: https://vincerowatches.com/lex to get up to 25% off + free shipping OUTLINE: 0:00 - Introduction 0:48 - Round 1 - The Matrix 8:12 - Round 2 - Reincarnation 9:58 - Round 3 - Winning 12:39 - Round 4 - Adventure line 16:30 - Round 5 - Confusion 19:58 - Round 6 - Mind control 35:09 - Round 7 - A dream within a dream 42:28 - Round 8 - Ego death 47:49 - Death becomes meaningless CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
I traveled to the West Bank and spoke with many Palestinian people there, from all walks of life. Most conversation were offline, but a few were on camera, and I include those latter ones here, in this video. I also spoke to Mohammed El-Kurd on the podcast about Palestine: https://www.youtube.com/watch?v=34wA_bdG6QQ OUTLINE: 0:00 - Interview 1: No Water 2:35 - Introduction by Lex 3:26 - Interview 2: Palestinian Christian 5:16 - Interview 3: Nothing Lasts Forever 6:56 - Interview 4: In the end, we're all human 8:13 - Lex drinks tea
First lecture of MIT course 6.S091: Deep Reinforcement Learning, introducing the fascinating field of Deep RL. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/2HtcoHV Playlist: http://bit.ly/deep-learning-playlist OUTLINE: 0:00 - Introduction 2:14 - Types of learning 6:35 - Reinforcement learning in humans 8:22 - What can be learned from data? 12:15 - Reinforcement learning framework 14:06 - Challenge for RL in real-world applications 15:40 - Component of an RL agent 17:42 - Example: robot in a room 23:05 - AI safety and unintended consequences 26:21 - Examples of RL systems 29:52 - Takeaways for real-world impact 31:25 - 3 types of RL: model-based, value-based, policy-based 35:28 - Q-learning 38:40 - Deep Q-Networks (DQN) 48:00 - Policy Gradient (PG) 50:36 - Advantage Actor-Critic (A2C & A3C) 52:52 - Deep Deterministic Policy Gradient (DDPG) 54:12 - Policy Optimization (TRPO and PPO) 56:03 - AlphaZero 1:00:50 - Deep RL in real-world applications 1:03:09 - Closing the RL simulation gap 1:04:44 - Next step in Deep RL CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman
Introductory lecture on Human-Centered Artificial Intelligence (MIT 6.S093) I gave on February 1, 2019. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/2IDMd0U Transcript: http://bit.ly/2IDMkcQ Playlist: http://bit.ly/deep-learning-playlist OUTLINE: 0:00 - Introduction to human-centered AI 5:17 - Deep Learning with human out of the loop 6:11 - Deep Learning with human in the loop 8:55 - Integrating the human into training process and real-world operation 11:53 - Five areas of research 15:38 - Machine teaching 19:27 - Reward engineering 22:35 - Question about representative government as a recommender system 24:27 - Human sensing 27:06 - Human-robot interaction experience 30:28 - AI safety and ethics 33:10 - Deep learning for understanding the human 34:06 - Face recognition 45:20 - Activity recognition 51:16 - Body pose estimation 57:24 - AI Safety 1:02:35 - Human-centered autonomy 1:04:33 - Symbiosis with learning-based AI systems 1:05:42 - Interdisciplinary research CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman
This is lecture 4 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car. OUTLINE: 0:00 - Computer Vision and Convolutional Neural Networks 22:15 - Network Architectures for Image Classification 34:39 - Fully Convolutional Neural Networks 44:35 - Optical Flow 50:07 - SegFuse Dynamic Scene Segmentation Competition INFO: Slides: http://bit.ly/2HdjksA Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - Show your support: https://www.patreon.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com LINKS: Playlist: https://goo.gl/SLCb1y Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw Lecture 3: Deep Reinforcement Learning - https://youtu.be/MQ6pP65o7OM Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0 2017: Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4
This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces computer vision, convolutional neural networks, and end-to-end learning of the driving task. INFO: Slides: http://bit.ly/2HdXYvf Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the course: Lecture 1: Introduction to Deep Learning and Self-Driving Cars https://youtu.be/1L0TKZQcUtA Lecture 2: Deep Reinforcement Learning for Motion Planning https://youtu.be/QDzM8r3WgBw Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task https://youtu.be/U1toUkZw6VI Lecture 4: Recurrent Neural Networks for Steering through Time https://youtu.be/nFTQ7kHQWtc Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles https://youtu.be/ByZF8_-OJNI CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com
This is lecture 1 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car. OUTLINE: 0:00 - Introduction 8:14 - Self-Driving Cars 14:20 - Deep Learning INFO: Slides: http://bit.ly/2HlyFHI Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com LINKS: Playlist: https://goo.gl/SLCb1y Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw Lecture 3: Deep Reinforcement Learning - https://youtu.be/MQ6pP65o7OM Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0 2017: Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4
This is lecture 5 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car. OUTLINE: 0:00 - Intro 6:53 - Human Imperfections 22:57 - Pedestrian Detection 28:57 - Body Pose Estimation 35:40 - Glance Classification 47:13 - Emotion Recognition 53:24 - Cognitive Load Estimation 1:00:54 - Human-Centered Vision for Autonomous Vehicles INFO: Slides: http://bit.ly/2HbGuzx Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - Show your support: https://www.patreon.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com LINKS: Playlist: https://goo.gl/SLCb1y Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw Lecture 3: Deep Reinforcement Learning - https://youtu.be/MQ6pP65o7OM Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0 2017: Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4
This is lecture 2 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces types of machine learning, the neuron as a computational building block for neural nets, q-learning, deep reinforcement learning, and the DeepTraffic simulation that utilizes deep reinforcement learning for the motion planning task. INFO: Slides: http://bit.ly/2H8Fs7g Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the course: Lecture 1: Introduction to Deep Learning and Self-Driving Cars https://youtu.be/1L0TKZQcUtA Lecture 2: Deep Reinforcement Learning for Motion Planning https://youtu.be/QDzM8r3WgBw Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task https://youtu.be/U1toUkZw6VI Lecture 4: Recurrent Neural Networks for Steering through Time https://youtu.be/nFTQ7kHQWtc Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles https://youtu.be/ByZF8_-OJNI CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com
First deep learning intro lecture of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. INFO: Slides: http://bit.ly/2HmL5ia Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the course: Lecture 1: Introduction to Deep Learning and Self-Driving Cars https://youtu.be/1L0TKZQcUtA Lecture 2: Deep Reinforcement Learning for Motion Planning https://youtu.be/QDzM8r3WgBw Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task https://youtu.be/U1toUkZw6VI Lecture 4: Recurrent Neural Networks for Steering through Time https://youtu.be/nFTQ7kHQWtc Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles https://youtu.be/ByZF8_-OJNI CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com
This is lecture 4 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. INFO: Slides: http://bit.ly/2Hc2zhf Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the course: Lecture 1: Introduction to Deep Learning and Self-Driving Cars https://youtu.be/1L0TKZQcUtA Lecture 2: Deep Reinforcement Learning for Motion Planning https://youtu.be/QDzM8r3WgBw Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task https://youtu.be/U1toUkZw6VI Lecture 4: Recurrent Neural Networks for Steering through Time https://youtu.be/nFTQ7kHQWtc Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles https://youtu.be/ByZF8_-OJNI CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com
This is a guest talk for course 15.S14: Global Business of Artificial Intelligence and Robotics (GBAIR) taught in Spring 2017. Slides on slideshare: https://www.slideshare.net/lexfridman/mit-sloan-intro-to-machine-learning-in-360vr Slides (PDF): https://www.dropbox.com/s/26co4m36ew6952d/gbair-lex-lecture-combined.pdf?dl=1 If you're interested in more related course lectures, check out the course I'm teaching on Deep Learning for Self-Driving Cars: Course website: http://selfdrivingcars.mit.edu Playlist: https://goo.gl/SLCb1y CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - Show your support: https://www.patreon.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com
Ask questions for future AMAs as a reply to the pinned comment or on Patreon (which take priority): https://patreon.com/lexfridman Nothing is off limits: personal, math, science, tech, philosophy, art, music. Also, please click like on other people's questions that you would like to see answered. Lex AMA playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdEfD2VtObCncE4psXYAcpq