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.

In principle, autoregressive probabilistic prediction can never produce true creativity. I spent three months writing a novel with AI, took part in the entire journey of a book from signing to completion, and through countless rounds of practice mapped out the real boundaries of what AI can do. So where does humanity's true value lie? The answer isn't in what AI can do — it's in what AI can never do.