Duke-led teams recieve federal funding for projects using AI in scientific research

Ah, marvellous. The U.S. Department of Energy, an institution once dedicated to splitting atoms and, more recently, to pretending that grid-scale battery storage is just around the corner, has announced the Genesis Mission — a federal initiative aimed, we are told, at "accelerating scientific discovery using artificial intelligence." Four Duke-led research teams have been selected to sup from this greasy spoon of taxpayer largesse, joining 278 other projects nationwide. One can only marvel at the hubris of naming a funding programme after the opening chapters of the Bible, as though the next breakthrough is a mere command away.

The DOE evidently believes that the bottleneck in modern science is not the decades of failed experiments, the paywalled journals, or the underpaid postdocs, but a simple shortage of neural networks. So now every lab with a grant application can claim to be "leveraging transformative AI-enabled paradigms" without breaking a sweat. We have seen this movie before — the space race, the war on cancer, the Human Genome Project — where the money flows, the announcements boom, and the revolution remains perpetually just around the corner. The Genesis Mission will be no different: emblazoned on letterheads, celebrated in alumni magazines, and quietly redirected to the next crisis by the time the first set of deliverables comes due.

Still, four Duke teams are to be congratulated: they have successfully navigated the treacherous waters of federal grant review, emerging with the financial equivalent of a royal decree. The Duke Chronicle, our trusty campus paper, reports the news with the reverence of a court herald, as if a single cheque can conjure a breakthrough. Perhaps it can — in the same way that a single brick "accelerates" the construction of a cathedral. But let us not dampen the celebration. After all, this is surely the most efficient way yet discovered to convert public curiosity into institutional overhead. And if the AI turns out to be good at it, we might even get a paper out of it that some other AI will read.