Interessant3 #138 | 🎨 Deep Learning's History, 📚 Feminisation & Progress, 🧠 Falsificationism
Three Interesting Things for W/C 2025-04-27
🎨 Mapping the Deep Learning Revolution
Oxbridge-educated AI researcher Richard Ngo maps the evolution of deep learning. Scaling simple algorithms with brute-force compute, not necessarily new theory, drove AI from blurry images to fluent language models and game masters. The speed of it all? Even the builders didn’t see it coming.
👉 Explore the visual history on Medium
📚 Progress, Stagnation, and the Feminisation of Culture
A provocative essay linking the slowdown of technological and economic dynamism since the 1970s to cultural shifts, particularly the feminisation of institutions.
argues that to revive progress, we must confront not just regulation, but the entire post-1960s cultural revolution. Striking examples are the historic American gender divides in stances on Nuclear power, GMOs, and housebuilding, all banners of the Progress Studies movement, where women mostly disapprove and men mostly approve. An interesting thesis that deserves to be scrutinised.
👉 Read the full analysis on Substack
🧠 Popper: Turning Disagreement Into Progress
I’m testing out a new idea: Based on Karl Popper’s philosophy of science, it’s a new platform where people place ideas and challenge the community to falsify them. With monetary bounties and public reasoning, it aims to rebuild scientific and philosophical integrity - making falsification and intellectual integrity rewarding. If you enjoy proving people wrong online, now’s your chance to make some money from it.
Join us next week for three more intriguing topics that challenge the norm and expand your horizons! ✌️
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