In learning, information often isn't the issue. It's knowing what's useful, and what feels wrong.

[00:00] Information has never been the problem [00:01] in learning, right? Quincy, you've seen [00:03] this as well. It's always been know it's [00:06] been knowing it's to know enough [00:09] that you know what's worth learning and [00:11] what's not worth learning. And to have [00:13] an intuition about whether this feels [00:15] right or wrong. Even in engineering now, [00:16] like it's it's not like I learn to code [00:18] and I stop learning. I'm constantly [00:20] learning new things. [00:21] The big difference now is that I have an [00:22] intuition when things go wrong about [00:25] where to look. And it's the same thing [00:26] if you're asking ChatGPT, if you don't [00:28] know enough to judge its response, the [00:30] validity and usefulness of its response, [00:33] it's the same thing. It's it's not [00:35] helpful, you know, to to not know enough [00:37] to judge the output.