April 15, 2026
Nvidia CEO Jensen Huang on their supply chain moat, CUDA's ecosystem advantage over ASICs, and why selling chips to China is key for US tech leadership.
April 7, 2026
Science doesn't progress via simple falsification. Michael Nielsen reveals the messy, human, and contingent history behind major breakthroughs.
March 20, 2026
Terence Tao discusses AI's role in math, using Kepler's discoveries as a model for AI's strength in hypothesis generation vs. human depth.
March 13, 2026
Dylan Patel dives deep into AI compute's 3 big bottlenecks: memory, power, and the ultimate constraint—the semiconductor supply chain, led by ASML.
March 11, 2026
The government's conflict with Anthropic over AI ethics is a warning about state overreach and the future of AI governance in a free society.
March 6, 2026
How a Renaissance quest to revive Roman virtues led to a library boom that inadvertently created the intellectual ecosystem for the scientific revolution.
February 13, 2026
Anthropic CEO Dario Amodei predicts a "country of geniuses in a data center" within 1-3 years, arguing we are near the end of the exponential.
December 30, 2025
The brain's efficiency isn't just a learning algorithm; it's guided by an evolved "steering subsystem" with complex reward functions—a model for AGI.
December 23, 2025
True AGI requires continual, on-the-job learning, not just pre-baked skills. This capability gap is why massive economic impact remains distant.
December 19, 2025
The USSR's fall wasn't just Reagan. It was a complex suicide fueled by economic failure, imperial overstretch, and flawed leadership.
November 25, 2025
Ilya Sutskever argues AI is entering a new 'age of research' beyond scaling, focusing on solving generalization to build safe superintelligence.
November 12, 2025
Microsoft CEO Satya Nadella discusses AI's capital-intensive future, balancing the OpenAI partnership, and building infrastructure for a world of autonomous agents.
October 31, 2025
From imperial rivals to a modern 'bromance,' this deep dive explores Russia's historical playbook for suppressing China's rise.
October 17, 2025
Andrej Karpathy on why AI agents are a decade-long project, the limits of current models, the flaws in reinforcement learning, and his vision for AI education.
October 4, 2025
LLMs' reliance on human data is a feature, not a bug—a crucial 'fossil fuel' providing the necessary prior for true reinforcement learning.
