It was 3 AM, and I was staring at a terminal window filled with telemetry data from a simulated Mars rover. The reinforcement learning (RL) agent I had trained overnight had just completed its 10,000t...
It was a rainy Tuesday afternoon in March when I first stumbled upon a paper that would fundamentally reshape my understanding of how AI could bridge the gap between biological inspiration and sustain...
It began during a late-night research session in my home lab, surrounded by stacks of annotated linguistic corpora and the soft hum of GPU clusters. I was exploring the intersection of reinforcement l...