Laurel's old water cup had a bit of a leak. I told her it was crying. I said we'd had this cup for a year — for you that's just one school year, but for it, that's a whole lifetime. She froze, clutching the cup, and later she actually wrote about it for an essay — the words didn't quite land, but what they landed on was real guilt. The AI voice I can't stand is the exact opposite: every word is right, and together they weigh nothing.

Several pretty stunning things happened in September: GPT6 Computer Use became more polished, embodied intelligence driven by fruit fly neural connections, and a math problem that had stumped humanity for 90 years was solved by a large model. They all point to the same question — do large AI models have a boundary? If they do, the optimal strategy is to shift toward cultivating the skills and competencies that lie beyond the AI boundary; if they don't, the optimal strategy is to find every possible way to get involved on the compute side.