How AI Took Over The World
Jan 13, 2025
One insight changed everything... intelligence can emerge from pattern prediction. This is a capstone video featuring key insights from the entire AI series.
Thanks to Jane Street for sponsoring this video. If you want to learn more about their work in ML and open roles, visit their website: jane-st.co/AoP-ML
From the first neural networks built with matchboxes and beads to today's AI systems that can reason, create, and understand language, this video reveals how machines learned to think by copying nature's three-layered approach to learning. We'll journey through the key breakthroughs - from simple visual pattern recognition to game-playing AIs that developed "alien" strategies, and finally to language models that can imagine anything we can describe. Along the way, we'll discover how researchers unlocked each layer of intelligence: evolutionary learning that keeps what works, reinforcement learning that adapts within a lifetime, and finally, language learning that allows knowledge to be shared across minds. This is the story of how pattern prediction became pattern generation, and how machines learned to think... one layer at a time. AI Safety/Deepseek Deep Seek
WarGames clip - WOPR described
The WOPR is described here as a machine that "thinks" about World War 3 all the time. I find the anthropomorphisation of the process of computer operations curious. It seems to be a factor that plays into suggesting the WOPR, as able to "make decisions" like a human, can legitimately order a nuclear missile launch without requiring a human to actually carry out the final step.
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