theendismeh

And then there are pandemics among crops to worry about:

“Never again should a major cultivated species be molded into such uniformity that it is so universally vulnerable to attack by a pathogen,” wrote plant pathologist Arnold John Ullstrup in a review of the matter published in 1972.

And yet, today, genetic uniformity is one of the main features of most large-scale agricultural systems, leading some scientists to warn that conditions are ripe for more major outbreaks of plant disease.

“I think we have all the conditions for a pandemic in agricultural systems to occur,” said agricologist Miguel Altieri, a professor emeritus from the University of California, Berkeley. Hunger and economic hardship would likely ensue.

I started reading Ministry for the Future during last year's horrible heat wave in Britain. My wife is a care worker and we were worried she'd arrive at people's homes to find them dead. I had to stop reading because it was too real at the time. Thankfully non of her clients died during the heatwave.

As for mass causualty events, we've already had them—they just aren't reported as such. Until these deaths are explicity reported as such in real time, people (survivors) will still feel disconnected. Just look at how long it took to attribute this girl's death to air pollution.

Machine Learning has huge potential. I am more interested in seeing it used to inform decisions and highlight things that may get overlooked than deciding actual allocation.

Thanks, that's a great response. I think I'll try the Reader to start and then see where I feel pulled next based on that. Your breakdown is very helpful.

Yeah, I was thinking tools for a more local level that enable collaboration, knowledge sharing, and tracking (rather than allocating) resource use. For higher-level coordination, something that could flag emerging conflicts over resources would be useful to spot problems on the horizon and then enable groups to work things out rather than impose a solution.

I worked on a project earlier this year to build an AI system that would share knowledge about performance and best practices to match communities up with solutions to their problems, as well as modules to help them implement, manage, and track them, all of which could then be fed back into the system. Enterprise tools for grassroots groups, so to speak. Unfortunately, it didn't get off the ground.

It's one of the things that infuriates me when I hear refusals to address climate change: the "business as usual" way of doing things entails externalising countless costs, meaning comparing costs is an apples-and-oranges endeavour.