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 7 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
Horthy: Top 1% of AI builders don't use popular public frameworks
“The way the top one percent build is so different from the bottom 99%. You have all your, like, indie hackers and, like, open source frameworks that are very, very popular. And, like, everyone uses, and that's what you see in public, and then you go see how re…”
Horthy: Skilled Context Engineers Matched Opus 4.5 Output on Opus 4.0
“When Opus 4.5 came out, they're like, oh, This is good enough. This is a big change, and I saw the things that they were shipping, and I was like, okay, but I know a bunch of engineers who got really good at context engineering, and they were getting the same …”
Horthy: Great AI Products Are Built at Boundary of Model Capabilities
“There will always be a thing that the model can like only kind of get right reliably. Like you find a thing that's right on the boundary of the model's capabilities, and you figure out how to get it right over and over and over again.”
Horthy: Software engineers will orchestrate rather than manually write code
“I don't believe the like software engineering is dead and there'll be more, no more coders. I think the way I would describe it is like the role of the software engineer will change from like write working code to like produce working code. Or like cause worki…”
Horthy: AI demos work at 80% accuracy, enterprise software needs far more
“I think there's a difference between, like, people who want to build, like, Reliable software and people who want to build a cool demo. I think that's the core. The incentives are different. Yeah. The incentives are of like, okay, if this is right, 80% of the …”
Horthy: Beginners should compact LLM context at 40% of window capacity
“If you don't know what you're doing, and you don't really know what the AI model is capable of, and you don't have a lot of experience, like, you know, training wheels is like, when you get to 40%, start thinking about wrapping it up, or like doing a, like, yo…”