Richard Socher
Founder & CEO, You.com · 4 appearances on the record.
computed by AI from the episodes · how this works → · full disclaimer →
founderexecutivescientistinvestoracademic@RichardSocher ↗LinkedIn ↗socher.org ↗Wikipedia ↗Instagram ↗
A pioneer in deep learning and natural language processing, Socher co-created the GloVe word-embedding model and contributed to ImageNet. He founded MetaMind, served as Chief Scientist at Salesforce following its acquisition, and later founded the AI search engine You.com.
8 supported 4 partly supported 3 contradicted 35 not checkable as stated how the 50 claims stand · each chip opens the sources
24 predictions · 26 assertions · 6 opinions · 18 insights · 8 disclosures · 1 what if · every statement was checked. The predictions and assertions are the 50 claims: statements the public record can support or contradict. 15 are resolved, and 35 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 Richard argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Their most notable supported claim
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
Argument clarity: do they answer the question? how? →
redirected or did not address 3 of 15 assessed questions (20%). Watch them ▸
This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →
How they sound: speaking style how? →
249 words/min while actually speaking · 44.8 um and uh per 1k words
Measured by listening to the audio itself: 24,782 words across 3 episodes 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 Richard Socher said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
The other half of the tape: Richard Socher's own voice is left out of every number here. Other people bring the name up 5 times in 3 episodes on the MAD Podcast. 1 statement on the record names them. every mention, with the transcript →
Who brings them up most Matt Turck 2Aman Kabeer 2Zico Kolter 1
Statements about Richard Socher, by other people (1)
Every mention by year
2026 1 mention in 1 episode
2024 2 mentions in 1 episode
2023 2 mentions in 1 episode
Appearances (4)
| Episode | Date | Speaking time |
|---|---|---|
| When AI Improves Itself | Richard Socher (Recursive) | Sep 10, 2026 | 57m |
| AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CE | Oct 10, 2024 | 1h 10m |
| Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google | Aug 16, 2023 | 33m |
| Richard Socher, MetaMind // Deep Learning for Enterprise (Hosted by FirstMark Capital) | Oct 21, 2015 | 20m |