MCP

AI’s Center of Gravity is Wrong Open any tech news feed and it’s all cloud AI, all the time. Bigger GPU clusters, more training data, pricier API calls. As if intelligence can only live in faraway data centers, available on demand — as long as your network holds up. But that’s not how the real world works. A factory camera needs to spot defects in milliseconds. A vehicle sensor can’t wait for a cloud round-trip before deciding to brake. A remote agricultural monitoring station might not even have a stable 4G signal. These scenarios — factories, cameras, sensors, vehicles — are the backbone of the physical world. And they all run at the edge. ...

It Started with a Complaint Day three. This little dev board is seriously tough. Claude Code’s free-tier generosity let me sprint hard, but I still hit the usage limit. I went to a conference that morning, and the whole time one thought kept looping in my head: How much time have I spent copy-pasting? JTAG call stack, SWD register dumps, Serial Console logs — paste a chunk over, AI gives a suggestion, I tweak the code, rebuild, flash, grab the logs, paste them back. Over and over. Sometimes I paste into the wrong window. Sometimes I miss the critical three lines. ...