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
Narayanan: Enterprise AI adoption is bottlenecked by cost, not capability
“My view is that in a lot of cases, the adoption of these models is not bottlenecked by capability. If these models were actually deployed today to do all the tasks that they're capable of, it would truly be a striking economic transformation. The bottlenecks a…”
Arvind Narayanan Aug 28, 2024 ▶ 12:22 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Insight
Narayanan: Misinformation affirms existing beliefs rather than changing them
“In a way, I think misinformation is more of a symptom than a cause. I think, you know, misinformation slots into and affirms people's existing beliefs as opposed to changing their beliefs. And I think the impact on AI here, again, has been tremendously exagger…”
Arvind Narayanan Aug 28, 2024 ▶ 31:46 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Insight
Narayanan: Misinformation is a social media distribution problem, not an AI generation problem
“To the extent it's a technology problem, it's more of a social media problem, really, than an AI problem, because the hard part of misinformation is not generating it, it's distributing it to people and persuading them, and social media is often the medium for…”
Arvind Narayanan Aug 28, 2024 ▶ 33:30 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Insight
Narayanan: AI developers mistakenly assume average learners are self-taught
“You have a lot of AI developers who are thinking of themselves as the typical learner, and they're not.”
Arvind Narayanan Aug 28, 2024 ▶ 39:42 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Insight
Narayanan: AI automates individual tasks, not entire jobs
“You know, the more abstract way of saying that is, as economists would put it, jobs are bundles of tasks, And AI automates tasks, not jobs. So if there are, you know, 20 different tasks that comprise a job the odds that AI is gonna be able to automate all 20 o…”
Arvind Narayanan Aug 28, 2024 ▶ 41:13 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Insight
Narayanan: AI training data quality matters far more than quantity
“What we've learned in the last two years is that the quality of data matters a lot more than the quantity of data.”
Arvind Narayanan Aug 28, 2024 ▶ 9:09 Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
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