Hardware that can change itself while it runs

I learned something in AI recently that is genuinely mind-blowing and I really want to teach you and share this with you. This is the next big step in AI computing. Hit that save button. Let's get in. First, side note, if you want to how to, let me know and I'll make another video. So most of what an AI is right now is just a giant look-up table. And apparently, we don't need to keep the entire thing stored in the fast V-RAM. So this design splits it. All of the thinking core stays in the fast RAM and then all the parameters stay in the cheap flash SSD. Then it uses memory mapping and only a tiny slice of those parameters is pulled for every query and then the rest of it never gets loaded into the V RAM. And this is how we're going to be able to run huge models on tiny amounts of RAM. You can actually get a model that's twice the size that you would normally be able to have on your PC if you use this method. Now, on top of that, we're going to add an FPGA, which is something that has not really been mentioned before by anyone else. An FPGA is just reconfigured hardware. And what it'll do is accelerate the flash page, spark routing and the mapping itself. Even better, the AI can actually update and remap on the fly. It looks at the information, decides which PC information it needs, then reconfigure the FPGA blocks accordingly. This creates a truly self-adapting system. The FGA handles the low-level efficiency, the model continuously evolves the mapping. Only the active expert or the narrative shard actually stays in your ramp. And the result is 50 to 80% of your RAM usage reduced. Amazing.