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 10 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
AI chatbots will become memory-sharing authentication layers, not super apps
“Maybe you're not ordering an Uber through ChatGPT, but any other product you can authenticate through, and it can borrow your tokens, it can borrow your memory, it can borrow everything that it knows about you from ChatGPT. I think that is probably more of whe…”
Manual software onboarding will disappear in two to five years
“In two, three, five years, Onboarding to software should not be a thing. Like, you should be able to log in with a ChatGPT or a Claude, and that new software product should know everything about you and, like, set up perfectly to cater to you”
Moore: OpenClaw will never crack mainstream consumers horizontally
“Well, so I personally don't think it's ever going to crack the mainstream consumer in a horizontal way.”
Moore: Agent architecture will embed into focused consumer apps, not horizontal tools
“And so I think we're actually not going to necessarily see a horizontal open claw for consumer, but we're going to see an open claw style architecture built into more focused consumer products.”
Moore: Negative US sentiment toward AI will change as mainstream adoption grows
“I think it's going to change, and it's already changing.”
Companies using AI will grow faster and hire more human workers
“What I would guess might happen here and what we're seeing play out a little bit in the data is that companies that are using AI grow so much faster that they end up needing to hire more humans to keep up with all the demand.”
Moore: Foundation model labs unlikely to solve the final 2% of enterprise workflows
“I do think there is still a lot of workflows and use cases where, like, the last one percent or the last two percent ends up being, like, a significant portion of the value, and I think for those, it's unlikely that the model companies will go all the way ther…”
Moore: Cracking AI Social Networks Will Be Very Tricky
“We haven't seen anyone crack AI social yet. I think it's going to be really tricky.”