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 9 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
Off-the-shelf AI fails because complex architectures require full-stack joint optimization
“We are in, in my mind, Past a system integration view of the world where you simply say, I bring this in here, I bring this in here, I tie them together and do it. I'll give you an example that's very old, ah, from speech recognition and machine translation, l…”
Capital One's AI pilot success rate defies the 95% industry failure average
“That's about as far away from our experience as it could be. The, that study that, that would, that, that, that you're talking about.”
The most satisfying customer service experiences retain a human in the loop
“The most satisfying experience always have a human in the loop at some point.”
Reframing generative AI as agentic workflows bridges lab-to-production gaps
“Casting what seems like generative AI problems into agentic problems has allowed us to bridge the gap between the lab and production.”
Specialized, compact AI models match performance while significantly reducing latency
“One of the other benefits of specialization is the models can be made much more compact to deliver the same kind of performance relative to the size of the model, right? Because now they're specialized, which means they can run much faster, which means overall…”
Capital One uses multiple open-source AI models but favors US-based providers
“We actually use more than one depending on the application. Again, like I said, we have this benchmarking, so we take a look at these models and I mean, we favor US-based models in, in general but beyond that, we're constantly looking for which model provides …”
The vast majority of AI performance gains occur post-production
“Building something in the, ah, in your engineering environment and then taking it to production is one step of it. Ah, what I've come to recognize is that's the first step in the AI stairway to heaven. Right? A lot of the action, a lot of the learning is actua…”