Stanford Prof. @chrmanning says universities are losing AI professors to frontier labs because they still fund computer science like it’s 2005, when a laptop was enough: "Universities have just been too flat-footed in dealing with the way the computing and AI world has changed. There are really two problems." "Over the last couple of decades, universities have become enormously more bureaucratic and administrative, and that makes them a less good research environment than they used to be in the 20th century." "Universities got used to this nice period around 1990 to 2010, when computer scientists needed barely any money for their research. You bought a laptop or a PC, and it was fine. The reality now is that computer scientists, particularly in AI, need a lot of money." "It's established that if you're hiring a new faculty in physics or chemistry, you need some millions of dollars, but it hasn't trickled down that people in AI need that too. There are too many professors leaving academia." "Stanford made a start with the Marlowe cluster of 256 H100s. That's an okay baby step, but there probably needs to be about 10 times that much." @stanfordnlp @Stanford