Moore's Law
The principle that historically limited computer scaling to semiconductor physics and CPU architecture.
Common Themes
Videos Mentioning Moore's Law
All-In Summit: Nuclear fusion and the potential for energy abundance
All-In Podcast
The performance of fusion machines in terms of plasma physics metrics has advanced faster than Moore's Law.
Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence | Lex Fridman Podcast #225
Lex Fridman
The observation that the number of transistors on a microchip doubles approximately every two years, leading to continued performance improvement in silicon microelectronic circuits through scaling down feature sizes.
Mark Zuckerberg at Startup School 2012
Y Combinator
An observation that the number of transistors on integrated circuits doubles approximately every two years, used here as an analogy for the exponential growth of user sharing on social networks.
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
Latent Space
The observation that the number of transistors in a dense integrated circuit doubles about every two years. Its continuation has been slowing down.
Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
Lex Fridman
The observation that computing capabilities double approximately every two years; discussed in the context of hardware vs. software improvements.
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Latent Space
The observation that the number of transistors in an integrated circuit doubles approximately every two years, used as an analogy for the rapid scaling of AI capabilities.
NVIDIA CEO Jensen Huang GTC 2026 Full Keynote
Yahoo Finance
The observation that the number of transistors in an integrated circuit doubles approximately every two years, which NVIDIA argues has 'run out of steam' necessitating accelerated computing.
Rodney Brooks: Robotics | Lex Fridman Podcast #217
Lex Fridman
The observation that the number of transistors in an integrated circuit doubles approximately every two years, which has driven powerful computational tools.
Zev Weinstein: The Next Generation of Big Ideas and Brave Minds | Lex Fridman Podcast #158
Lex Fridman
Referrs to the historical pattern of constant growth in different technologies, particularly in computing, mentioned as a comparison to the perceived historical growth of human accomplishments.
Natalya Bailey: Rocket Engines and Electric Spacecraft Propulsion | Lex Fridman Podcast #157
Lex Fridman
The observation that the number of transistors on a microchip doubles approximately every two years, cited as enabling smaller, more affordable spacecraft.
Dr. Michio Kaku — Exploring Time Travel, the Beauty of Physics, and More | The Tim Ferriss Show
Tim Ferriss
The observation that computer power doubles approximately every 18 months, leading to exponential technological growth, often underestimated by linear human thinking.
Is Moore's Law Finally Dead?
Sabine Hossenfelder
The observation that the number of transistors on a microchip doubles approximately every two years, driving computing power increases.
Colin Angle: iRobot CEO | Lex Fridman Podcast #39
Lex Fridman
The observation that the number of transistors on integrated circuits doubles approximately every two years, influencing the decreasing cost and increasing power of embedded computers used in robotics.
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
Lex Fridman
The observation that the number of transistors in an integrated circuit doubles approximately every two years; Michael Littman discusses its potential limits due to increasing development costs.
François Chollet: Keras, Deep Learning, and the Progress of AI | Lex Fridman Podcast #38
Lex Fridman
The observation that the number of transistors in an integrated circuit doubles approximately every two years, leading to exponential increases in computational power.
Tyler Cowen: Economic Growth & the Fight Against Conformity & Mediocrity | Lex Fridman Podcast #174
Lex Fridman
Cited as an underlying factor enabling the surge of recent technological breakthroughs.
Vijay Kumar: Flying Robots | Lex Fridman Podcast #37
Lex Fridman
The observation that the number of transistors on integrated circuits roughly doubles every two years, driving advancements in computing power relevant to robotics.
Chad Rigetti at Startup School SV 2016
Y Combinator
The observation that the number of transistors on a microchip doubles approximately every two years. It is mentioned as ending, affecting the progression of traditional computing.
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles | Lex Fridman Podcast #31
Lex Fridman
A principle of computing power growth that George Hotz mostly agrees with, influencing his prediction of the singularity's timing.
Chris Lattner: The Future of Computing and Programming Languages | Lex Fridman Podcast #131
Lex Fridman
An observation that the number of transistors in an IC doubles approximately every two years. Its alleged demise highlights the need for new performance gains through custom hardware and parallel programming models.
Scott Aaronson: Quantum Computing | Lex Fridman Podcast #72
Lex Fridman
The observation that the number of transistors in a dense integrated circuit doubles approximately every two years, expected to hit fundamental limits.
Eric Schmidt: Google | Lex Fridman Podcast #8
Lex Fridman
The observation that the number of transistors in an integrated circuit doubles approximately every two years, which has largely halted in its traditional form due to high costs.
Nick Szabo — The Quiet Master of Cryptocurrency | Co-Hosted by Naval Ravikant | The Tim Ferriss Show
Tim Ferriss
The observation that the number of transistors on an integrated circuit doubles approximately every two years. Szabo argues it no longer necessarily applies due to physical limits on transistor size and heat dissipation.
Moore's Law is Not Dead (Jim Keller) | AI Podcast Clips
Lex Fridman
The observation that the number of transistors on microchips doubles approximately every two years, driving technological advancement. The speaker discusses its historical significance and ongoing relevance despite predictions of its demise.