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 6 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

Insight
Siddharth: Current AI models suffer from a significant capability overhang
“And there's a very significant model capability overhang. By that, what I mean is the models are capable of X, but what we are getting out of the models is X minus Delta.”
Jonathan Siddharth Dec 1, 2025 ▶ 44:46 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
Insight
Siddharth: Data-driven feedback loops will be the key moat in AI
“I think one moat will be data-driven feedback loops.”
Jonathan Siddharth Dec 1, 2025 ▶ 29:04 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
Insight
Frontier AI training now requires domain experts over low-skilled contractors
“So it's no longer the kind of data that low-skilled, medium-skilled contractors can generate. You need expert humans in every domain.”
Jonathan Siddharth Dec 1, 2025 ▶ 2:44 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
Insight
Siddharth: Universal AI assistants require trillion-parameter models
“Like, I mean, if you want like a general purpose assistant, I think you need a trillion parameter model, right? Like that can answer anything to be a universal assistant.”
Jonathan Siddharth Dec 1, 2025 ▶ 15:44 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
Insight
Siddharth: AI enterprise models lag consumer deployments and need real-world usage to improve
“I feel like the models have touched reality in consumer. We haven't yet touched reality in enterprise. And the only way we'll improve is by deployment.”
Jonathan Siddharth Dec 1, 2025 ▶ 31:07 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
Insight
Siddharth: Founders must stay close to ground truth rather than delegating
“I used to believe that to build a Enduring, valuable company. You hire a strong, ah, exec team and operate with a lot of leverage. Basically hire strong people, hire great people and get out of the way. I used to believe that. Now I believe you hire great peop…”
Jonathan Siddharth Dec 1, 2025 ▶ 1:12:23 Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear · 20VC with Harry Stebbings
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