MS NOW (formerly MSNBC) aired AI-edited image of Alex Pretti that made
him "more handsome" -- claims they didn't know it was altered
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Lauren Weinstein (lauren@mastodon.laurenweinstein.org)'s status on Saturday, 31-Jan-2026 01:24:20 JST
Lauren Weinstein
- Rich Felker repeated this.
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Rich Felker (dalias@hachyderm.io)'s status on Saturday, 31-Jan-2026 01:24:17 JST
Rich Felker
@mark @lauren It's been the case for at least a decade that the only credible sources are people we know through our social graphs of trust to have domain expertise and shared values.
"Professional" news may give us awareness of some happenings that intersect with the interests of power and of what power is trying to direct the public eye towards, but it can't be trusted with its takes on any of these things or with detailed facts.
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Mark T. Tomczak (mark@mastodon.fixermark.com)'s status on Saturday, 31-Jan-2026 01:24:19 JST
Mark T. Tomczak
@lauren Turns out AI is more an existential threat to traditional news than I had considered.
Ultimately, if the news professional cannot tell AI editing from an authentic article... What use do we, the audience, have for the professional? Because I can get doctored images of what's going on in Minneapolis from my uncle for free.
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Rich Felker (dalias@hachyderm.io)'s status on Saturday, 31-Jan-2026 01:30:18 JST
Rich Felker
@mark @lauren Yes, it's very unfortunate, but that's where we are.
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Mark T. Tomczak (mark@mastodon.fixermark.com)'s status on Saturday, 31-Jan-2026 01:30:19 JST
Mark T. Tomczak
@dalias @lauren Unfortunately, that process is extremely broken because it results in us only having access to truth proportional to the integrity of our peer groups.
If I, the ignorant, have to evaluate which of my peers has domain expertise (and, more importantly, a compulsion to be correct, not just seem correct)... Well actually, that explains a lot about where we are now, does it not?
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Rich Felker (dalias@hachyderm.io)'s status on Saturday, 31-Jan-2026 01:32:12 JST
Rich Felker
@mark @lauren Twitter was very effective at surfacing such expertise and letting folks build and see the graphs to know who to trust and who to distrust. That's why it was bought and razed.
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Rich Felker (dalias@hachyderm.io)'s status on Saturday, 31-Jan-2026 01:42:05 JST
Rich Felker
@lauren @mark I'm not claiming it's good or that such a system automatically produces trustworthy information. Just that it's presently the only way to get trustworthy information, and depends on having a trusted & trustworthy graph (which most people don't).
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Lauren Weinstein (lauren@mastodon.laurenweinstein.org)'s status on Saturday, 31-Jan-2026 01:42:06 JST
Lauren Weinstein
@dalias @mark The persistence of the 40% of so of the U.S. population that is in the "Fox News" ecosystem misinformation filter bubble demonstrates that "peer based" information channels can horrifically misinformation laden.
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Lauren Weinstein (lauren@mastodon.laurenweinstein.org)'s status on Saturday, 31-Jan-2026 01:45:50 JST
Lauren Weinstein
@dalias @mark Twitter only served to solidify preexisting views. A social graph replete with misinformation just perpetuates it.
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Rich Felker (dalias@hachyderm.io)'s status on Saturday, 31-Jan-2026 01:45:50 JST
Rich Felker
@lauren @mark When Twitter was at its best, every time there was a significantly false narrative in top MSM-covered story, refutations from people with domain expertise/firsthand knowledge were trending within hours. It didn't depend on everyone's graphs being great, just sufficient portions. Yes it was also subject to manipulation for other purposes and had lots of flaws.