Because externalities of lithium extraction like using aquifers for evaporation ponds and the pollution from the leftover brine aren’t included in the cost of new lithium production, thus making less environmentally impactful methods of recovery too expensive to justify.

And we do that with basic algorithms informed by research. But then the score gets tied and we have to decide who has the greatest chance of following though on their regimen based on things like past history and means to aquire the medication/go to the appointments/follow a diet/not drink. An AI model will optimize that based on wild demographic data that is correlative without being causative and end up just being a black box racist in a way that a committee that has to clarify it’s thinking to other members couldn’t, you watch.

What are you going to train it off of since basic algorithms aren’t sufficient? Past committee decisions? If that’s the case you’re hard coding whatever human bias you’re supposedly trying to eliminate. A useless exercise.

Fuck Amazon but it would be nice if we had an FDA to get rid of this crank magnet health product that WIRED is promoting.

The man with the action packed expense account.

Henry didn’t care about Arab states so much as wanted to import them to be his cheap labor. He hated Jews but I’m sure he would’ve preferred gazans to be refugees so they’d work in his factories for nothing.