The amount of compute used for training large AI models has scaled by approximately 9 to 10 orders of magnitude over the last decade.

Intelligence is not the primary bottleneck to economic growth and technological progress, as evidenced by challenges like providing clean water in sub-Saharan Africa.

Anthropic's Claude model captures most of the enterprise revenue from developer tools like Cursor, rather than models that may be better at competitive programming.