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.
why aren't all 5 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
Eric Ries: Generating code with AI causes skill atrophy and 'dark flow'
“When you're using cloud code to create artifacts, you are actually causing skill atrophy in yourself. You have gone from the flow state of building stuff into what we call dark flow, which is the state you get into when you're using a slot machine.”
Ries: Trustworthiness is one of the most underrated business assets today
“I think that that courageous stand that they took, again, leaving aside the politics of it, just looking at it from a pure business perspective, Is an example of a very savvy business strategy that sees trustworthiness as an asset, like a business asset that c…”
Ries: Most founders are naive about founding documents allowing their removal
“Most founders are hopelessly naive about this point. They think that they're in control of the company, and they're always so betrayed when they find out that their own founding documents basically say that they can be removed at any time. And they don't reali…”
Ries: Human creative writing begins when AI rates a draft 10/10
“When the AI says it's 10 of 10, now our work, now the work begins. See people stop there, but no, now we have reached the limits of its training data. Now it's time to actually do the creative act of writing”
Ries: Correcting LLM errors in-chat increases likelihood of bad outputs
“And that has to do with the mechanics of the attention mechanism. As the contracts gets larger, you're literally spreading the attention over more and more and more data. But also, it's learning from all the bad examples it gave. So it's actually much more lik…”