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
Patel: AI's primary bottleneck is the inability to learn on the job
“The key problem I see
Is this, the models can't do on-the-job training. So if you think about a human employee you might have some. And these human employees, the good thing about them is that, you know, you train them for six months or a year, and over time …”
Patel: Prompt correction is an order of magnitude worse than human learning
“I think the, this is at least an order of magnitude less efficient and less less capable than the way humans learn.”
Patel: Tacit experiential knowledge cannot be captured in a system prompt
“This, like, tacit knowledge that you build up through practice is not this, like, written instruction manual that you can just write out as a system prompt.”
Patel: AI automation is bottlenecked by task depth, not task breadth
“I think the bigger problem is not just the width or the width of the pool, how many different tasks you have to RL on, but it's a depth in the sense that a job doesn't involve doing a thousand different five minute tasks individually. It's the fact that you're…”
Patel: Aggregated on-the-job AI learning would functionally produce superintelligence
“Even if there's no software progress out of that point, that algorithms aren't improving, just that ability to learn on the job from everything in the economy would functionally produce what looks like a super intelligence, right? No human will be, will have m…”
Patel: Deep research AI functions as a tool, not an employee
“That's not gonna happen. It's got the style that it's learned through its RL training for deep research. So then again, it just becomes another tool. It doesn't really, it's not, you know, it doesn't become like an employee for you.”
Patel: Anti-AI Art Critics Hold a Zero-Sum View of Beauty
“I think it's just a very zero sum view of the world where there can be a limited amount of beauty. There can be a limited amount of joy. I just don't think that.”
Patel: Tech Twitter Rumors Accurately Forecast Major Frontier AI Shifts
“So maybe my update has been that you can sort of know what's going to happen. I mean, I remember at the time I was just like, ah, these idiots on Twitter are just like, they don't know what they're talking about. They're just like a rumor mill. And in retrospe…”
Patel: Human Brain Compute Limits Restrict Centralized Organizational Control
“Right now, you know it's really hard for, if you have an institution or organization company, it's really hard for the person at the center to have that much awareness of what's happening in the company to control it to any great extent. Xi Jinping has the sam…”