The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 4 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Assertion Supported
Douwe Kiela: I co-created Retrieval-Augmented Generation (RAG) at Facebook AI
“We're specifically basing it on this retrieval augmented generation, which is something that me and my colleagues at fair came up with in.”
Douwe Kiela Jun 30, 2023 ▶ 9:12 Douwe Kiela: Why Data Size Matters More Than Model Size; Why Open Source Isn't Going to Win | E1032 · 20VC with Harry Stebbings
Assertion Supported
Douwe Kiela: Meta's Original LLaMA Was Trained Entirely on Open Data
“So the LAMA model was not trained on any proprietary data. It was just trained on open data on the web.”
Douwe Kiela Sep 15, 2023 ▶ 18:27 20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents
Assertion Supported
Douwe Kiela: Meta's LLaMA model used zero proprietary training data
“So the Lama model was not trained on any proprietary data. It was just trained on open data on the web”
Douwe Kiela Jun 30, 2023 ▶ 18:38 Douwe Kiela: Why Data Size Matters More Than Model Size; Why Open Source Isn't Going to Win | E1032 · 20VC with Harry Stebbings
Assertion Supported
Douwe Kiela: LLMs generate inaccurate statements with high confidence
“These models make things up with very high confidence.”
Douwe Kiela Jun 30, 2023 ▶ 8:16 Douwe Kiela: Why Data Size Matters More Than Model Size; Why Open Source Isn't Going to Win | E1032 · 20VC with Harry Stebbings
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