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 8 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
Andreessen: Modern AI agents are simply LLMs combined with Unix primitives
“So it turns out what we now know is an agent is the following. It's a language model. And then above that, it's a bash. It's a bash shell. So it's a Unix shell. And then the agent has access to the shell and, you know, hopefully in a sandbox, maybe in a sandbo…”
Andreessen: Bot screening is impossible; proof of human is necessary
“The bots can pass the Turing test. And if the bots can pass the Turing test, then you can't screen for bot. You can't have proof of not a bot, but what you can have is you can have proof of human.”
Andreessen: Utopians and doomers overestimate how quickly humans adapt to AI
“Both the AI utopians and the AI doomers are far too optimistic. You see what I'm saying? Because they believe that because the technology makes something possible, that eight billion people all of a sudden are going to change how they behave, and it's just lik…”
Andreessen: Scaling laws work by becoming self-fulfilling industry benchmarks
“Key to any scaling law, including Moore's law and the AI scaling laws is, you know, they're not really laws, right? They're predictions. But when they work, they become self-fulfilling predictions because they set a benchmark and then the entire industry, righ…”
Andreessen: Engineers should unlock latent power in existing systems, not reinvent stacks
“Some of the smartest people in the industry look at any new challenge and they're like, okay, I need to build a new kind of application. So the first thing I need to do is build a new programming language, right? And then the next thing I need to do is build a…”
Andreessen: AlexNet and transformers were the true inflection points of modern AI
“I think the real story is it was the Alex net basically breakthrough in like 2013. That was the real knee in the curve. And then it was obviously the transformer breakthrough in 17.”
Andreessen: Human readability and inspectability drive system adoption in web and AI
“There's an incredible latent power in giving everybody who uses the system The option to be able to drop down and actually understand and see how it's working. And that worked really well for the web, and I think it's working really well for AI.”