I think it’s best to ask yourself, to the best of my knowledge, would that person want to see this reply? There’s a difference between a boost by someone you know IRL vs. a large account that does a lot of boosts, for example. I don’t think there’s a one size fits all answer to this.
Public health messaging is always a balance between rigor and what people will understand, what will motivate the correct action.
Also, the CDC could put more science into validating that measure. There are peer reviewed studies that make these estimates now. They compare wastewater levels to times and places where other methods were used to estimate prevalence.
Something to keep in mind is that we can’t really compare with the past, because things like magazines, TV, newspapers and their audiences are not what they were before. So an auto dealer that used to advertise heavily in the Sunday paper needs to try something different.
As much as culture and fit matter, so much hiring is still based on skills and job descriptions. For this matching to add value, you would need a well-populated field of positions and applicants.
So, I think this would work best if you could focus on one specific occupation but multiple employers. Maybe nursing?
From what I’ve heard, dating apps have similar challenges, working best for those ‘in the middle,’ not so well for outliers.
Yes. I’ve already had some negative experiences where LLM generated correspondence, some quite polished, gave the impression the writer had thought something through and meant what they wrote, when in fact neither of those were true. Our actual conversations were then a frustrating waste of time.
Please teach him the rest of the Greek alphabet with alternative meanings and see if you can get them to take off :-) Like, it’s not really “all the feels” it’s “all the phis”.
While economists are not mathematicians, they do a lot of math, and usually in the most incomprehensible Greek they can manage, whether in chalk or LaTex. And their elitist gatekeeping is legendary.
May be the source of some of the complaints. My experience of actual mathematicians tends to match yours.
Something I’d be particularly interested to learn is to what extent there has been systematic review of biographies of women removed on notability grounds. Which if any Wikipedias have done that? (I mean operational/ administrative review more than research.)
At a minimum, it seems likely that some of those people will clearly meet the criteria after a few years.
I’m pretty sure the folks in Microsoft’s own recruiting function are doing a major ::head desk:: and mumbling ‘we said what where now???’ about this. For a company like that, with global name recognition, automating the application process is almost a DOS attack.
Even as someone who mostly replies, I think these would be good features to have. If someone really only wants to talk to their followers or mutuals, I don’t want to be there. Giving people mod power over their replies appeals to me less.
Maybe until the feature is built folks could experiment with a hack, like start with # for followers only and ## for mutuals only? Some Twitter features started as hacks like that.
This is a great example of what stresses me out about LLMs: techies being so impressed by « Grammarly for Python » that they start posing it trolley problems.
At this point you are absolutely exemplifying the problem people point out about reasonable criticism being met by ridiculous blaming of the users.
If you want to write a useful tip, maybe something like: when trying out PeerTube, it’s important to start by subscribing only to sites you trust. It doesn’t have a server covenant like Mastodon.
Advancing open knowledge and civic technologyPhD in Public Policy, M.S. in Technical Communication. Research focused on science and technology policy, especially scientific workforce and university research centers. Current interests: open science, including science as a human right and multilingual science. Also an active civic tech volunteer with current / recent projects in open government and open data. Posts will include policy, politics, and propaganda awareness content.