Emily M. Bender
Professor of Linguistics, University of Washington · 1 appearance on the record.
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academicscientistauthorhost@emilymbender ↗linguistics.washington.edu/people/emily-m-bender ↗Wikipedia ↗
Emily M. Bender is a computational linguist who co-authored the 2021 paper 'On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?'. She also co-hosts the podcast Mystery AI Hype Theater 3000 and co-authored the book The AI Con.
2 supported 1 partly supported 0 contradicted how the 3 claims stand · each chip opens the sources
3 assertions · 3 opinions · 5 insights · every statement was checked. The predictions and assertions are the 3 claims: statements the public record can support or contradict. 3 are resolved. 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 Emily 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
How they sound: not measured why? →
We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Emily M. Bender on measured tape to publish a rate. This says nothing about how they speak.
Everything Emily M. Bender said on Big Technology that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| AI’s Drawbacks: Environmental Damage, Bad Benchmarks, Outsourcing Thinking | May 14, 2025 | 16m |