A security team used these models to remediate several software bugs in a day, work they estimated could otherwise have taken up to a month.
“一天解决原本需一个月的bug”是典型的反直觉观点和吸睛金句。这里的“estimated（估计）”一词表明数据带有强烈的主观预判色彩。一个月的工作量被压缩至一天，究竟是AI的功劳，还是原本的时间评估过于冗长？这需要更严谨的对比实验数据来支撑，而非单一的个案估计。
One engineer used OpenAI models to move through 122 pull requests across 43 projects in a matter of weeks.
这是一组非常具体的生产力数据。但在批判性阅读时需追问：这122个PR是否都被成功合并？其代码质量、安全性和长期可维护性如何？“几周内完成”的基准线是否过于模糊？此类数据在公关稿中常被用来夸大AI工具的效用，需结合代码审查通过率等硬指标进行交叉验证。
"You can see I have quite a lot notes I have to make."
This is a difference in mentality between Ryan Holiday and me (as well as Muhammed Ali Kilic)
@M.AKilic50
Our mentality (inspired by GTD and other standard productivity stuff, mostly Flow) is to avoid creating homework.
You don't HAVE to make notes on something. You select what you deem valuable and are interested in working with at the moment.
Because of the marginal gains effect I wrote about earlier, it doesn't matter if you don't make a lot of notes. Besides, you can always return later--especially with a proper bib card and potentially a custom index/ToC for a book.
A Zettelkasten is the lazy man's path to excellence.
(this is an ironic statement of mine because a Zettelkasten asks a lot of work over time. However, it doesn't have to be on a day to day basis. Plus you work only on what you want, hence it doesn't require that much discipline.)
To return to information overload: this means treating your "to read" pile like a river (a stream that flows past you, and from which you pluck a few choice items, here and there) instead of a bucket (which demands that you empty it). After all, you presumably don't feel overwhelmed by all the unread books in the British Library – and not because there aren't an overwhelming number of them, but because it never occurred to you that it might be your job to get through them all.
Lesson on how to treat one's to-read list
Realistically, I view this as the same problem students who “highlight everything” have. It’s not a problem with the nature of highlighters — it’s a problem of metacognition.
• Daily writing prevents writer’s block.• Daily writing demystifies the writing process.• Daily writing keeps your research always at the top of your mind.• Daily writing generates new ideas.• Daily writing stimulates creativity• Daily writing adds up incrementally.• Daily writing helps you figure out what you want to say.
What specifically does she define "writing" to be? What exactly is she writing, and how much? What does her process look like?
One might also consider the idea of active reading and writing notes. I may not "write" daily in the way she means, but my note writing, is cumulative and beneficial in the ways she describes in her list. I might further posit that the amount of work/effort it takes me to do my writing is far more fruitful and productive than her writing.
When I say writing, I mean focused note taking (either excerpting, rephrasing, or original small ideas which can be stitched together later). I don't think this is her same definition.
I'm curious how her process of writing generates new ideas and creativity specifically?
One might analogize the idea of active reading with a pen in hand as a sort of Einsteinian space-time. Many view reading and writing as to separate and distinct practices. What if they're melded together the way Einstein reconceptualized the space time continuum? The writing advice provided by those who write about commonplace books, zettelkasten, and general note taking combines an active reading practice with a focused writing practice that moves one toward not only more output, but higher quality output without the deleterious effects seen in other methods.
How to stop forgetting stuff you read.
When summarizing you can put general thoughts and other stuff, like how you discovered it, favorite quotes, etc.
The whole point is to engage with the material.
Zettelkasten method is recommended.
Literature notes are quick notes that should get converted to evergreen or permanent notes.
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Suzanne Conklin Akbari</span> in Growing a Research Network: Approaches to Global Book History | Penn Libraries (<time class='dt-published'>09/12/2021 21:11:23</time>)</cite></small>
https://fs.blog/2021/08/remember-books/
A solid overview of how to read. Not as long or as in-depth as Mortimer J. Adler, but hits all of the high points in an absorbable manner.
Definitely worth re-reading...