The deadly trap of over-investing vs under-investing in AI cycles

if you under invest and you miss a cycle, the other guys pull ahead, and then your growth dies, and we know what that's like. If you over invest because the money is so much, if you over invest and, you know, you hit the point where you don't get the returns to scale, then you are really long compute. And then one could go bust. But I think part of the message was we are trying to be a little more circumscribed