Peter H. Diamandis
speaker
71,112 appearances
158 recordings
1 series
first heard Aug 2024
last heard 6d ago
Peter H. Diamandis’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 — 78 in all, peaking in Mar 2026 with 10.
Appearances
Moonshots with Peter Diamandis · Should we slow down AI progress? | MOONSHOTS #288 · 11 Sep 2026
podcast
So in plain English, the transformer breakthroughs get the headlines, but the quiet work of extracting, filtering, and curating what the models read has driven 3x more of the gains.
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So why it matters is, you know, architectures are published and copied within months.
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Data pipeline
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Are proprietary.
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If the data is a real moat, then the labs with the best data engines, not the cleverest papers, are going to win.
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And it means the next ten X may be sitting in the data that you have someplace in your organization.
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So um I'm gonna go to Alex and Imod here first off.
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Alex, your is this intuitively obvious to you?
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Nice.
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Professor Mustach.
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junk food junk food in the large language model training data sets is one of our biggest problems for humanity.
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It's forty two.
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What Dave, can I ask a question here?
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What's the lesson for entrepreneurs out there?
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I want I want because there's a lot of opportunity for entrepreneurs in the data space.
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We talked about this, we had an amazing AMA for those of you who didn't join us uh with you know, the abundance of the uh excuse me, the moonshot community uh a couple of days ago, uh, and we were answering questions.
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And you remember that entrepreneur who had a whole you know, thirty years of engineering data from his firm.
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And and that's the case.
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If you're sitting on or can aggregate unique specific data, there's value to be had there, especially if it's clean data and you make it accessible uh in a very easy fashion to the to them uh to the labs out there.
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All right.
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