Data turns out to be the most important part of the whole project, and the part I understand least. The whole thing is data, so what matters now is how it's managed as it moves through the system, over and over, especially once the learning mechanisms are looping information back through themselves. The data work sits parallel to the mesh rather than underneath it, and it builds straight on last month's hardware work, the CPU and how a machine runs.
What surprised me is that data feels less defined than everything else I've looked at. Less structured, fewer fixed rules. I can't tell yet whether that's because I'm new to it and reading it wrong, or whether it's genuinely true of the area. The hierarchy of terms is hard to hold together, so I'm not making big decisions until I understand the technical limits better. My instinct is decent, but I can't see the blind spots yet, and that's what this phase is for.
If a bit is the atom of data, then I'm trying to solve for the cell, something with a membrane and an inside that holds a purpose rather than just a value.
Not much else got built, because I've been sick most of the week and still am. Victor was home just long enough between trips to drop off whatever he caught, two days before flying out again for a talk, and it landed right in the window where my new flu jab hadn't kicked in. It's one of those colds that grips you and escalates without ever turning into a fever, so there's no real temperature, just everything a bit out of whack.
On the bright side, the consultancy work running alongside the build is going well right now. We're using it to build the financial infrastructure the project needs, the connections, resources and base it can draw on later. It's a deliberate choice, because this is a long, future-facing bet, and AI is pushing projects to be more ambitious and aim at harder outcomes, so building that foundation in parallel feels like the right way to run it. After years of preparing for this, it's becoming real.




















