My take on ChatGTP…

I’ve been putting it through its paces in the life sciences. Overall, it’s quite good at hypothesis generation and being insightful in cell biology. In neuroscience, it’s got great verbiage, but it’s often dead wrong (factually). If it were a qualifying exam, I’d have to flunk it. In plant biology it’s at the level of a very smart undergraduate major.

Fragile Ecosystems…

A freshwater pond on Fogo Island off Newfoundland

I took this photo a while back while on a hike in one of Canada’s more remote locations. It was early in the short boreal summer and I was struck by both the high biodiversity and the enormous spurt of primary productivity that, out of necessity occupies a very narrow time window. These remote parts of Earth’s biosphere are encountering climate disruption more intensely than most of the planet. How they will fare is unknown, but it’s a good bet they will be challenged because they are inherently fragile.

Humans affect the trajectory of our home planet’s ecosystems. But we can’t accurately predict how those dynamics will feedback upon us. We are coupled complex adaptive systems.

Viral Spillover: predictable?

The New Yorker routinely does an excellent job with science. This piece by Matthew Hutson is another good one. The debate is whether it’s worthwhile even trying to scientifically sample the animal reservoirs (e.g. bats) where this zoonotic transfer begins. Is it hopelessly complex? Is the sampling itself playing with fire?

My own sense (based on my NSF experience) is that there are valuable rule sets that can be revealed and these are what we must try to figure out. Yes, the complexity is high–the interactions span genomes to ecosystems, but the payoff could be immense. Early on in the pandemic, I blogged about a hypothetical COVID30. Because of climate change, we may be facing new infectious disease assaults on humans much more frequently than that as animal reservoir species and humans migrate towards intersections in space and time.