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 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
Feig: AI agents cannot be trusted without hard data-leak guardrails
“We don't trust agents. We say, Hey, we can try to set rules, but there needs to be hard guardrails and blocks for things like sensitive data being sent across.”
Feig: AI Coding Tools Shift Hiring Toward High-Agency 'Barrels'
“It used to be that, you know, a team that had a barrel of a PM or a manager and a bunch of ammunition could get a lot done, But now that you kind of can have one person just go use, you know, Codex, Cloud Code, whatever, to go build something, you really just …”
Feig: Startup Leaders Must Master AI Tooling Hands-On
“If we are the leaders of this company, we have to know everything there is to know about how AI works, how you build with AI so that one, we are more effective and two, we're building for where the puck is going.”
Feig: AI integration buyers understand their technical requirements far less than SaaS buyers
“When people are buying us for AI use cases, they actually don't really know what they're looking for as much as it was in the past, right? Like we would, yeah, you know, two, three years ago, we go to sell our unified platform to, you know, a classic SaaS comp…”
Feig: Enterprise trust in AI models is rising despite cloud multi-tenancy reservations
“Over the past year, You've seen people use the models, trust them more, and now everyone's backing away from that language, but there's still a lot of reservations now around using anything AI in the cloud, and so still demands for, no, we want this running in…”
Feig: AI token maxing leads to severe CFO bill shock
“You're seeing a lot being built, but then the bill comes to the CFO and it's actually really brutal and way worse than they expected. And even if they got double the productivity, they might not have had double the budget for headcount and they, you know, Spen…”