“诚不欺我”

中国人爱说:回顾过去,展望未来。现在不妨再想一想这八个字。如果我们每次回顾过去,都先把过去修改得像今天一样,我们回顾的究竟是什么?如果过去留下来的语言、观念和记忆,因为不合今天的习惯而不断被修正、删除、磨平,那么我们最后面对的,就只有一个无限膨胀的现在。而一个只有现在的文明,是没有办法真正展望未来的👆点击标题阅读全文👆

人如其言

屎这种东西,有时候特别容易让人想到金子。不开玩笑。还有一个词,我从小听到大:美金。大陆有人说,香港有人说,台湾有人说,新加坡也有人说。在美国那些日渐上了年纪的华人当中,更是常常听见——他们的发际线后退的距离,往往比他们语言的疆界后退得还要远。美金。美国的金子。不是美元,不是美钞,是美金。👆点击标题阅读全文👆

契诃夫的1124个字

伊凡开始讲那个故事。彼得累了。他心中害怕。他深爱着耶稣。耶稣被捕以后,他一路跟着,远远地看着耶稣受辱挨打。接下来,是他三次不认主,是拂晓,随后是鸡鸣,是彼得突然明白自己做了什么。彼得走出去,止不住的呜呜哭泣。瓦西丽莎也哭了。就在这一刻,一件不可思议的事情发生了。一个已经死去近一千九百年的人,让一个站在俄罗斯一堆火旁不识字的乡下女人流下了眼泪。伊凡看见了。两个夜晚开始流入彼此。彼得的悲痛出现在瓦西丽莎的眼泪里。彼得曾经烤过火的那堆火,又在寡妇家的菜园里燃烧起来。那个寒冷的夜晚,就是这个寒冷的夜晚。那些恐惧、痛苦的人,就是这些恐惧、痛苦的人。
👆点击文章标题阅读全文👆

What Chekhov Did in 1,124 Words

Soviet artistAristarkh Lentulov 1 Anton Chekhov’s “The Student” is 1,124 words long in the Russian original. The number is worth keeping in mind. It is not a piece of literary trivia. It tells us something about the magnitude of the accomplishment. In a little over a thousand words, Chekhov takes us through two nights separatedContinueContinue reading “What Chekhov Did in 1,124 Words”

Everything’s Fine Until You Go to School

The inspiration for this post came from a lab analyst’s comment I recently saw: “Carryover did not meet criteria (28% carryover). Plate was stored in AB-123-4567 to be ran on different system.” Now, this kid’s name is not Wang Xiao Qu or Nikolai Petrov, but your ordinary John J. Smith, native-born, raised on cheeseburgers andContinueContinue reading “Everything’s Fine Until You Go to School”

Numbers Don’t Cry, But I Do

But soft, dear Yorick — let me speak as the Prince I pretend to be, holding this strange skull, half-socket, half-circuit, forged of silicon and jest. Yego: It’s almost comical when I stop and think about it: me, a human being, talking to a large language model — like we’re having a real conversation. Sure,ContinueContinue reading “Numbers Don’t Cry, But I Do”

LLMs for Old-School Programmers

“If I can’t grep the source, how can I trust the program?”— Every veteran coder, at least once You’ve lived through assembler, C, PERL one-liners, Java app-servers, and maybe even the JavaScript awakening. Now you open ChatGPT, ask a question, and a wall of well-formed prose appears. Where are the ifs, fors, and seg-faults youContinueContinue reading “LLMs for Old-School Programmers”