Neil deGrasse Tyson Called for a Superintelligence Treaty and Scientists Are Taking It More Seriously Than the Press Is

At the Asimov Memorial Debate, Neil deGrasse Tyson closed by calling for an international treaty to ban superintelligence — and then the news cycle mostly moved on. Tyson is not a AI doomer by reputation or temperament. He is, by most measures, the most prominent pro-science public communicator in America, a man whose brand is enthusiasm for what human ingenuity can build. When he reaches for the nuclear arms race as his comparison and lands on "ban" rather than "regulate," that is not a throwaway line. It is a considered rhetorical choice from someone who understands exactly what invoking Oppenheimer does to an audience.

The gap between how that moment landed in mainstream science coverage versus how it landed on Bluesky tells the story of where AI and science now sit relative to each other. Science news has spent the better part of two years in a register of breathless acceleration — AI is discovering proteins, predicting weather, reading ancient manuscripts, curing cancer adjacently. The tone has been relentlessly optimistic, institutional, press-release-shaped. But among the researchers and science communicators posting on Bluesky, a different mood has been building for months: skepticism about tacit knowledge AI cannot replicate, frustration with the gap between marketing claims and actual research utility, and now, something closer to alarm. One post this week put it plainly — the problem isn't that AI is overhyped, it's that even people who should know better, like Dragon Quest's Yuji Horii, have confused the corporate product for the science fiction dream they were promised. That conflation, the commenter argued, is doing genuine damage.

The MLA forming a working group to examine AI in research is a quiet data point that matters more than it looks. Academic institutions do not convene governance bodies because everything is fine. They convene them when faculty pressure becomes impossible to ignore, when the gap between official enthusiasm and practitioner experience has grown wide enough that someone has to formally acknowledge it. The researchers posting skeptically about AI's lack of domain expertise — citing cases where, say, a model can't reason about why a POTS research question is a dead end because it doesn't know what experts already ruled out decades ago — are describing something that institutional cheerleading has not caught up to. That tacit knowledge problem is not a bug that a bigger model fixes. It is structural.

What Tyson's treaty proposal does, whatever its political viability, is give scientific credibility to a position that has mostly been dismissed as catastrophism from the fringes. The arms control framing is deliberate: it implies that some technologies require international coordination before deployment, not after disaster. Researchers who've spent the last year watching their fields get described as AI-disrupted in press releases they didn't write are, based on what's circulating this week, ready to hear that argument. The news cycle's failure to treat the Asimov Debate moment as significant isn't surprising — it doesn't fit the acceleration narrative that science journalism has built. But the scientists themselves seem to be updating faster than their coverage is.