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Jonathan Stray
@jonathanstray
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Knowing things is a solved problem. Getting along is not. Working on AI, media, and inter-group conflict @CHAI_Berkeley. Got here from computational journalism.
Berkeley
Joined May 2008
@ZebraFactCheck Yes, I did write that article. And yes, some fact checks were applied to any instance of a particular image or video. Increases effectiveness or censorship or both, depending on your perspective. Would be interesting to know the scale here.
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@PsychRabble Boycott report: “academic boycotts … can legitimately seek to protect and advance academic freedom and the fundamental rights of colleagues and students who are living and working under circumstances that violate academic freedom” Consistent with excerpt of Kalven in 2nd stmt
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@francescamar6 Not a zine on that exactly but @better_conflict is related, and here’s some history — Jo Freeman writing about toxic feminist culture in 1973
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AI interior monologues are charming, but now imagine the liability that these logs create for a corporate AI that is told to maximize profits and has to make legal and moral decisions along the way. Cannot wait for that discovery process. 🍿
The raw chain of thought from DeepSeek is fascinating, really reads like a human thinking out loud. Charming and strange.
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@jwolpert @molly0xFFF Follows the general pattern: Red tries to control offline spaces (libraries, schools) while Blue tries to control online spaces (platforms, comments)
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@apilosov I’ve been writing about the destruction of trust for years as well. But tell me, what would satisfy your desire for vengeance?
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@apilosov The economics are a disaster. However there's still no other reliably reliable source of information. Everything that has been proposed to replace profession reporting is still garbage quality. Good information is a classical public good, hence under-produced.
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@kevinnbass I have to say I’ve gained respect for you for calling out the Trump coin scam. Shows you have principles, not just grudges.
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@armankhon IMO not that interesting. Yes a solid piece of technical work but without the value model (how are posts actually scored?) says next to nothing about what kind of content TT actually selects.
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