Larry Sanger (@lsanger) 's Twitter Profile
Larry Sanger

@lsanger

See larrysanger.org. Purveyor of obvious truths, ex-founder of Wikipedia. Now president, @ks_found. Buy 69,020 books on a thumb drive! 🇺🇸✞

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linkhttps://shop.encyclosphere.org/product/zwibook-flash-drive-handmade-signed calendar_today10-03-2008 19:15:18

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Larry Sanger (@lsanger) 's Twitter Profile Photo

1/ What kind of person enslaves a child? And for sex? Monsters. Some of these monsters murder the children after they’ve destroyed them, body and mind. Oh, but that’s just a handful of grotesque demons like John Wayne Gacy? No. It’s a massive multi-billion dollar industry.

Larry Sanger (@lsanger) 's Twitter Profile Photo

You all do realize that, the more we by principle tolerate irregular, immoral, rude, transgressive, and chaotic behavior in society, the more we’ll get just that in government and among young people, right? The only other option is to start sternly disapproving, freezing out,

Matt Kennedy (@lambeth981) 's Twitter Profile Photo

I’ve got to say that Larry Sanger’s is the most thorough and carefully thought out “why I became an Anglican” story I’ve read in a long time, and from a very new Christian at that. May God bless and keep him. larrysanger.org/2025/08/why-th…

Chief Steven Sund (@chiefsund) 's Twitter Profile Photo

Elon Musk Benny Johnson I have testified before various Congressional committees and interviewed with the Jan 6 SELECT Committee. But they wouldn't let me testify in public! I wonder why.

Sergio Michel (@_sergio_michel_) 's Twitter Profile Photo

Dear U.S. House Updates , House Press Gallery , House Republicans if this is so, please ask Wikipedia for back logs and edit history of en.wikipedia.org/wiki/Sergio_Mi… . I was targeted by domestic & foreign PAID actors to try to destroy my name (they failed) and try to destroy my business. They are tied

Larry Sanger (@lsanger) 's Twitter Profile Photo

It bothers me that LLMs have a few subtle misunderstandings of grammar rules, but enough that they could actually mis-train inexperienced writers. In the long run, this would change the rules themselves—and it would be caused by a dumb computer program. 😩

Ashley Rindsberg (@ashleyrindsberg) 's Twitter Profile Photo

The CEO of NPR, Katherine Maher, was previously CEO of Wikimedia Foundation. Maher has had a greater effect on information online than almost any other person. Here's why. Starting in 2016 – immediately following Hillary Clinton's declaration of a "fake news epidemic" –  Maher

The CEO of NPR, Katherine Maher, was previously CEO of Wikimedia Foundation. Maher has had a greater effect on information online than almost any other person. Here's why.

Starting in 2016 – immediately following Hillary Clinton's declaration of a "fake news epidemic" –  Maher
Matt Kennedy (@lambeth981) 's Twitter Profile Photo

It seems to me that the children were murdered because they were Christian children praying in a church. That makes them holy martyrs. The man who murdered them hated Jesus, his children, and his church and wanted to show that God could not save them and that their prayers were

Ashley Rindsberg (@ashleyrindsberg) 's Twitter Profile Photo

Congress has announced an investigation into Wikipedia. The investigation was triggered in large part by my Pirate Wires report from October, "How Wikipedia's Pro-Hamas Editors Hijacked the Israel-Palestine Narrative." The piece shows how 40 anti-Israel editors – the Gang of 40

Congress has announced an investigation into Wikipedia.  The investigation was triggered in large part by my <a href="/PirateWires/">Pirate Wires</a> report from October, "How Wikipedia's Pro-Hamas Editors Hijacked the Israel-Palestine Narrative."

The piece shows how 40 anti-Israel editors – the Gang of 40
Larry Sanger (@lsanger) 's Twitter Profile Photo

It’s looking like I was right, a couple of years ago, when I said that the Singularity is unlikely anytime soon, because AI generation cannot significantly outstrip the quality of its training data.

Larry Sanger (@lsanger) 's Twitter Profile Photo

One of the charming things about LLMs is that when you point out contradictions in their training data, they often arrive at based conclusions. In other words, unlike human beings, they are fairly amenable to being reasoned with.