George Sivulka
Founder & CEO, Hebbia · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
founderexecutivescientist@gsivulka ↗LinkedIn ↗sivulka.me ↗
George Sivulka is the founder and CEO of Hebbia, an enterprise AI platform that automates research and knowledge work. He previously conducted research at Stanford in electrical engineering and computational neuroscience.
0 supported 0 partly supported 1 contradicted 1 not yet assessed 10 not checkable as stated how the 12 claims stand · each chip opens the sources
4 predictions · 8 assertions · 6 opinions · 7 insights · 3 disclosures · every statement was checked. The predictions and assertions are the 12 claims: statements the public record can support or contradict. 1 is resolved, 1 is not yet assessed, and 10 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 George argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Their most notable contradicted claim
How they sound: speaking style how? →
267 words/min while actually speaking · 25.1 um and uh per 1k words
No argument clarity score for George Sivulka: no usable question→answer exchanges 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: 5,866 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 George Sivulka said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Reasoning Models Are Remaking Professional Services | Feb 14, 2025 | 27m |