Linken (Link) Lauren / Mark Halperin / Glenn Beck (primarily Link Lauren and Glenn Beck; large majority speech belongs to guests Link Lauren and Glenn Beck and Mark Halperin) - Note: Speaker_09 is the main guest channel covering Link Lauren, Mark Halperin, and Glenn Beck
speaker
1,028 appearances
1 recordings
1 series
first heard Oct 2025
last heard 31 Oct
Linken (Link) Lauren / Mark Halperin / Glenn Beck (primarily Link Lauren and Glenn Beck; large majority speech belongs to guests Link Lauren and Glenn Beck and Mark Halperin) - Note: Speaker_09 is the main guest channel covering Link Lauren, Mark Halperin, and Glenn Beck’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Oct 2025 with 1.
Appearances
And it is my...
attempt to spend the last maybe 15 years, 20 years of my career doing a couple of things.
One, education.
I started collecting in 2008 on a prompting from God, I felt, and it has led to us now having the largest collection of founding documents
The only ones that beat us is the National Archives and the Library of Congress.
Now, I have the largest collection also of documents and artifacts from the Mayflower and Jamestown.
And we actually convinced the guy who collected it his whole life and wanted to give it to the Smithsonian.
or sell it to the Smithsonian.
We talked to him and said, you see what's going on, right?
And an institution in the government, they can remove documents and vault them and you don't know the history.
They cannot own all of the documents and then be the arbiter of truth.
You have to have an outside source.
So he sold that collection to me for half the price he was going to sell it to the Smithsonian for.
Wow.
So I have spent, with an amazing team, literally working 24 hours, depending on which hemisphere, working 24 hours a day.
We have been...
digitizing every single document, every artifact.
We have then put it through an AI vectoring system.
You know, remember when you used to have to be exact on your question, and you would have to ask the question, and you're like, ah, it would give you the wrong answer, and you'd have to be exact.
Now, through vectoring, each word has 250 different meanings, and so it checks every
Showing 861–880 of 1,028 · page 44 of 52
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