Matthew Zeiler
SVP, Research, Nebius · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
founderexecutivescientist@MattZeiler ↗LinkedIn ↗nebius.com ↗
Zeiler founded Clarifai in 2013—a pioneering computer vision and deep learning platform—after placing in the top five spots of the 2013 ImageNet challenge during his Ph.D. at NYU. In May 2026, he joined AI cloud infrastructure provider Nebius as SVP of Research to lead frontier AI research.
2 supported 0 partly supported 0 contradicted 1 not yet assessed 2 not checkable as stated how the 5 claims stand · each chip opens the sources
5 assertions · 2 opinions · 1 insight · 1 disclosure · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, 1 is not yet assessed, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Matthew argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: speaking style how? →
232 words/min while actually speaking · 32.2 um and uh per 1k words
No argument clarity score for Matthew Zeiler: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.
Measured by listening to the audio itself: 2,854 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Matthew Zeiler said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Matthew Zeiler, Clarifai // Data Driven #31 // Nov 2014 (Hosted by FirstMark Capital) | Nov 20, 2014 | 14m |