University AI funding and the challenge of retaining professors
MTSlive quotes a Stanford professor arguing that universities have become more bureaucratic and haven't adjusted their funding expectations to the cost of modern AI research.
TLDR
In remarks shared by MTSlive, a Stanford professor argues that universities still treat computer science as inexpensive, laptop-based research. He says AI faculty now need the millions of dollars already expected for new physics and chemistry hires. He calls Stanford's Marlowe cluster of 256 H100s an "okay baby step," saying there probably needs to be about 10 times that much computing capacity. He also criticizes growing bureaucracy as making universities worse research environments and says too many professors are leaving academia.
Combined views
112.8K
2 Sources, first seen 1d ago
University AI funding and the challenge of retaining professors
MTSlive quotes a Stanford professor arguing that universities have become more bureaucratic and haven't adjusted their funding expectations to the cost of modern AI research.