Of course, I did not do these things alone. I did them in collaboration with coding agents like Gemini 3 Pro (and the Gemini Command-Line Interface system), OpenAI Codex using GPT 5.2, and most especially, Claude Opus 4.5 in Claude Code.

These agents have been around for almost a year now, but in recent weeks and months they have become so capable that I believe they meet some definitions of “artificial general intelligence.” Yet the world is mostly unchanged. This is because AGI is not the end of the AI story, but something closer to the beginning. Earlier this year, I wrote:

The creation of “artificial general intelligence,” if it can even be coherently defined, is not the end of a race. If anything, it is the start of a race. As AI systems advance by the month, the hard work of building the future with them grows ever more pressing. There is no use in building advanced AI without using those systems to transform business, reinvent science, and forge new institutions of governance. This, rather than the mere construction of data centers or training of AI systems, is the true competition we face—and our work begins now.

The individuals and firms that discover more and better ways to work with this strange new technology will be the ones who thrive in this era. The countries where those people and businesses are most numerous will be the countries that “win” in AI. It is up to all of us, together, to figure out how to put machine intelligence to its highest and best uses. The world won’t change until human beings change it.