Time Space Breakthrough, Ancient Memory Systems & An I-Ching Inspired Hyper-Stack Scheduler

Memory is the real bottleneck in AI and computing. Whether you're training large language models, running complex simulations, or orchestrating microservices, it's often RAM, not CPU, that dictates the true scale of what you can achieve.

So, what if you could dramatically shrink your active memory footprint? What if you could do "exponentially less remembering" while still crunching massive datasets? MIT's Ryan Williams just proved this is possible, solving a 50-year-old puzzle in computer science by demonstrating that any computation running in time t can be simulated with roughly √t space.

But here’s what really fascinated me: many indigenous cultures have been doing something remarkably similar for millennia, compressing vast knowledge systems into human memory using song, dance, and story. I touched a bit on this in my other Hackernoon article Artificial Cultural Intelligence.

So this made me wonder: Could we ...