How to solve problems
Made with 💙 by me (how to).
Dedicated to my family.
It’s chaos. Just pure chaos.
This is a rant against trying to predict the future. Against using economic models for after the time when aging science has upended all fundamental economic axioms.
As Hari Seldon in Foundation said:
"The validity of my predictions is dependent on the assumption that the human species will continue to react to stimuli in the same way.”
The fact that you will die is the most fundamental determinant of your behavior. It underlies everything. If you add even the slightest bit of uncertainty, you wake up in a new world. One with different game theoretic conditions.
Solving aging will change everything. The economics of social systems, pensions, war, health care. The value of a life will increase by orders of magnitude, the value of an hour of your time decrease by the same. How can anyone seriously think such a world can be modeled?
And that doesn’t even take into account the short-term chaos: Trillions of dollars in savings from the healthcare system overnight? Sounds like a 30% reduction in GDP to me. Less kids, because there is less pressure for women? Or the first truly multigenerational households? Pension funds … puff? I have so many questions, and so should you, economist.
Remember: When your grandma starts looking younger than you, all hell breaks loose. Longevity is the science of the chaotic good, no one else.
One of my favorites of all time, also watch the Super30 trailer.
The Purpose of Technology
If the proximate purpose of technology is to reduce scarcity, the ultimate purpose of technology is to eliminate mortality.
This inspires most of my thinking:
How to outsmart the Prisoner’s Dilemma - Lucas Husted
Puzzle through the classic game theory challenge, The Prisoner’s Dilemma, and decide: would you choose to spare or sacrifice? -- Two perfectly rational gingerbread men, Crispy and Chewy, are out strolling when they’re caught by a fox. Instead of simply eating them, he decides to put their friendship to the test with a cruel dilemma. He’ll ask each gingerbread man whether he’d opt to Spare or Sacrifice the other. What should they choose? Lucas Husted dives into the classic game theory scenario: the Prisoner's Dilemma. Lesson by Lucas Husted, directed by Ivana Bošnjack and Thomas Johnson. Sign up for our newsletter: http://bit.ly/TEDEdNewsletter Support us on Patreon: http://bit.ly/TEDEdPatreon Follow us on Facebook: http://bit.ly/TEDEdFacebook Find us on Twitter: http://bit.ly/TEDEdTwitter Peep us on Instagram: http://bit.ly/TEDEdInstagram View full lesson: https://ed.ted.com/lessons/how-to-outsmart-the-prisoner-s-dilemma-lucas-husted Thank you so much to our patrons for your support! Without you this video would not be possible! John Hong, Minh Tran, Helen Lee, Anthony Benedict, Turine Tran, Mathew Samuel, Karthik Balsubramanian, Lee, Livia-Alexandra Sarban, Annastasshia Ames, João Henrique Rodrigues, Sebastiaan Hols, Aries SW, SANG HAN, Amy Lopez, ReuniteKorea, Vinh-Thuy Nguyen, Liz Candee, Clovis Norroy, Danielle Downs, Nik Maier, Angel Pantoja, Nishant Suneja, 张晓雨, Srinivasa C Pasumarthi, Kathryn Vacha, Anthony Arcis, Jeffrey Segrest, Sandra Fuller Bocko, Alex Pierce, Lawrence Teh Swee Kiang, BRENDAN NEALE, Jane White, Karmi Nguyen, John C. Vesey, Yelena Baykova, Harshita Jagdish Sahijwani, Won Jang, Nick Johnson, Tariq Keblaoui, Carlos H. Costa, Eimann P. Evarola, Aleksandr Lyozin, Mohamed Elsayed, Alan Wilder, Marcus Appelbaum, Francisco Leos, Kevin O'Leary, Les Howard and Ten Cha.