If by Rudyard Kipling (read by Lex Fridman)

Lex Fridman · Beginner ·🛡️ AI Safety & Ethics ·6y ago
This is a poem by Rudyard Kipling titled If. It is a father giving advice to his son. If you can keep your head when all about you Are losing theirs and blaming it on you, If you can trust yourself when all men doubt you, But make allowance for their doubting too; If you can wait and not be tired by waiting, Or being lied about, don’t deal in lies, Or being hated, don’t give way to hating, And yet don’t look too good, nor talk too wise: If you can dream—and not make dreams your master; If you can think—and not make thoughts your aim; If you can meet with Triumph and Disaster And treat those two impostors just the same; If you can bear to hear the truth you’ve spoken Twisted by knaves to make a trap for fools, Or watch the things you gave your life to, broken, And stoop and build ’em up with worn-out tools: If you can make one heap of all your winnings And risk it on one turn of pitch-and-toss, And lose, and start again at your beginnings And never breathe a word about your loss; If you can force your heart and nerve and sinew To serve your turn long after they are gone, And so hold on when there is nothing in you Except the Will which says to them: ‘Hold on!’ If you can talk with crowds and keep your virtue, Or walk with Kings—nor lose the common touch, If neither foes nor loving friends can hurt you, If all men count with you, but none too much; If you can fill the unforgiving minute With sixty seconds’ worth of distance run, Yours is the Earth and everything that’s in it, And—which is more—you’ll be a man, my son. Writing music and poetry have been a part of my life for many years, along with science and martial arts. I've written a lot of songs, almost all of which no one has ever heard, including close friends. Me playing covers and reading this poem is a step toward it. My main passion is artificial intelligence (especially engineering of it into real-world system
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1 Ido Portal: Movement
Ido Portal: Movement
Lex Fridman
2 Ryan Hall: Moral Victory
Ryan Hall: Moral Victory
Lex Fridman
3 Jimmy Pedro: Judo | Take It Uneasy Podcast
Jimmy Pedro: Judo | Take It Uneasy Podcast
Lex Fridman
4 Foundations of Deep Learning (Hugo Larochelle, Twitter)
Foundations of Deep Learning (Hugo Larochelle, Twitter)
Lex Fridman
5 TensorFlow Tutorial (Sherry Moore, Google Brain)
TensorFlow Tutorial (Sherry Moore, Google Brain)
Lex Fridman
6 Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Lex Fridman
7 Sequence to Sequence Deep Learning (Quoc Le, Google)
Sequence to Sequence Deep Learning (Quoc Le, Google)
Lex Fridman
8 Torch Tutorial (Alex Wiltschko, Twitter)
Torch Tutorial (Alex Wiltschko, Twitter)
Lex Fridman
9 Theano Tutorial (Pascal Lamblin, MILA)
Theano Tutorial (Pascal Lamblin, MILA)
Lex Fridman
10 Deep Reinforcement Learning (John Schulman, OpenAI)
Deep Reinforcement Learning (John Schulman, OpenAI)
Lex Fridman
11 Deep Learning for Speech Recognition (Adam Coates, Baidu)
Deep Learning for Speech Recognition (Adam Coates, Baidu)
Lex Fridman
12 Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Lex Fridman
13 Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
Lex Fridman
14 Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Lex Fridman
15 Foundations and Challenges of Deep Learning (Yoshua Bengio)
Foundations and Challenges of Deep Learning (Yoshua Bengio)
Lex Fridman
16 MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Lex Fridman
17 MIT 6.S094: Deep Reinforcement Learning for Motion Planning
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Lex Fridman
18 MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
Lex Fridman
19 MIT 6.S094: Recurrent Neural Networks for Steering Through Time
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
Lex Fridman
20 MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
Lex Fridman
21 Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Lex Fridman
22 Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Lex Fridman
23 MIT Sloan: Intro to Machine Learning (in 360/VR)
MIT Sloan: Intro to Machine Learning (in 360/VR)
Lex Fridman
24 MIT 6.S094: Deep Learning
MIT 6.S094: Deep Learning
Lex Fridman
25 MIT Self-Driving Cars (2018)
MIT Self-Driving Cars (2018)
Lex Fridman
26 MIT 6.S094: Deep Reinforcement Learning
MIT 6.S094: Deep Reinforcement Learning
Lex Fridman
27 MIT 6.S094: Computer Vision
MIT 6.S094: Computer Vision
Lex Fridman
28 MIT 6.S094: Deep Learning for Human Sensing
MIT 6.S094: Deep Learning for Human Sensing
Lex Fridman
29 MIT AGI: Artificial General Intelligence
MIT AGI: Artificial General Intelligence
Lex Fridman
30 MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
Lex Fridman
31 Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Lex Fridman
33 Lisa Feldman Barrett: How the Brain Creates Emotions |  MIT Artificial General Intelligence (AGI)
Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
Lex Fridman
34 Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
35 Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Lex Fridman
36 Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Lex Fridman
37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
MIT AGI: Cognitive Architecture (Nate Derbinsky)
Lex Fridman
38 MIT Advanced Vehicle Technology Study (MIT-AVT)
MIT Advanced Vehicle Technology Study (MIT-AVT)
Lex Fridman
39 MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
Lex Fridman
40 Geoffrey Hinton: What are you excited about in deep learning?
Geoffrey Hinton: What are you excited about in deep learning?
Lex Fridman
41 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Lex Fridman
42 Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
Lex Fridman
43 Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
Lex Fridman
44 Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
Lex Fridman
45 Eric Schmidt: Google | Lex Fridman Podcast #8
Eric Schmidt: Google | Lex Fridman Podcast #8
Lex Fridman
46 Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Lex Fridman
47 Deep Learning Basics: Introduction and Overview
Deep Learning Basics: Introduction and Overview
Lex Fridman
48 Deep Learning State of the Art (2019)
Deep Learning State of the Art (2019)
Lex Fridman
49 MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
Lex Fridman
50 Self-Driving Cars: State of the Art (2019)
Self-Driving Cars: State of the Art (2019)
Lex Fridman
51 Drago Anguelov (Waymo) - MIT Self-Driving Cars
Drago Anguelov (Waymo) - MIT Self-Driving Cars
Lex Fridman
52 Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
Lex Fridman
53 Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
Lex Fridman
54 Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Lex Fridman
55 Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
Lex Fridman
56 Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Lex Fridman
57 MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
Lex Fridman
58 Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Lex Fridman
59 Rajat Monga: TensorFlow | Lex Fridman Podcast #22
Rajat Monga: TensorFlow | Lex Fridman Podcast #22
Lex Fridman
60 Gavin Miller: Adobe Research | Lex Fridman Podcast #23
Gavin Miller: Adobe Research | Lex Fridman Podcast #23
Lex Fridman

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