"title": item.title,
Lipgloss is handy - you can give it two strings and say “join these together vertically, making sure that they’re both left-aligned” and it’ll do that even if the strings have different widths. It’s built for the terminal, so it knows how to handle ansi escape codes and double-width characters and the like.
。Line官方版本下载对此有专业解读
So if there's a device that can help fix this mess, I'm open to it. And after some time with the Dreamie, I think I've found a promising contender.
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.