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Something I've long suspected is often the case: the founder of a data privacy firm also ran dozens of the people search services the firm was set up to remove people from for a fee. "Onerep’s “Protect” service starts at $8.33 per month for individuals
After some to-ing and fro-ing, I finally cracked how using Obsidian is useful. I’d previously been trying to work in the open and update my thoughts for a public website there — but, of course, that’s what my personal site is for! So it didn’t click,
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"There’s a reason that some 2,900 newspapers have closed since 2005, and that reason is the ad revenues publishers were hoping for to support what were initially free websites never materialized." What's left: paywalls and patronage. I've become much more bullish about
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"Former Treasury Secretary Steven Mnuchin is building an investor group to acquire ByteDance’s TikTok, as a bipartisan piece of legislation winding its way through Congress threatens its continued existence in the U.S." Come on. This is brazen. Whatever you think of TikTok, I'm not
Subsequent conversations have convinced me that I’m right about the assertions I made about the Fediverse for media organizations. There’s a huge need, a huge opportunity, and the underlying technology is there. The thing that’s a bit missing is a first-class Fediverse platform. Mastodon itself has
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"The House bill, then, is an acknowledgment that algorithmic curation of feeds is a powerful feature that can have a major influence on individuals and society. It at least makes the point that allowing a foreign company, under its own government’s influence, to have some level of control
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Europe once again leads the way by passing meaningful AI regulation. Banned unacceptable-risk uses of AI include facial recognition, social scoring, and emotion recognition at schools and workplaces. "The use of real-time facial recognition systems by law enforcement is permitted “in exhaustively listed and narrowly defined situations,
I’ve been thinking about the risks and ethical issues around AI in the following buckets: * Source impacts: the ecosystem impact of generative models on the people who created the information they were trained on. * Truth and bias: the tendency of generative models to give the appearance of objectivity and
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"The observation room at Boeing Field offers what is arguably America’s best real-time window into our vast network of privately run deportation flights, a system that has generated troubling reports of passenger mistreatment and in-flight emergencies." Important work from some pretty brave activists that sheds
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"What I thought would be helpful, instead, is to survey the current state of AI-powered journalism, from the very bad to really good, and try to draw some lessons from those examples. I'm only speaking for myself today, but this certainly reflects how I'm
Someone I follow posted this weekend about how the progressive wing of the Democratic Party was stupid because it consistently pushed for projects that would require higher taxes. I don’t like the framing, and as a self-identified progressive I’m not particularly excited about being called stupid. But
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"Weeknotes are well suited to teams that want to communicate about their work to colleagues or management. But they’re useful in other circumstances, too, such as individuals communicating to the teams they’re part of, or leaders communicating to the people they lead." This is a pretty