看书这方面，由于种种原因（$REASONS），我今年读的书比以往少得多。但在我读过的书里，有一本格外亮眼：Max Solomon Bennett 写的《A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains》。如果你对智能以及相关话题感兴趣，绝对值得一读。
In terms of books, I read way less than usual this year for $REASONS. But of the books I did read, one stood out: A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains by Max Solomon Bennett. If you're interested in intelligence and related topics, it's definitely worth a read.
不客气。如果你对生物大脑的更多背景知识感兴趣，秀丽隐杆线虫（c.elegans）其实真就只是“最初的突破”（借用 Max Bennett 在《A Brief History Of Intelligence》里的说法——这是本最近出的很不错的科普书）。
You're welcome. If you are interested in more background on biological brains, c.elegans is really just "the very first breakthrough" (in the phraseology of Max Bennett's A Brief History Of Intelligence -- a recent, worthwhile popular science book).
你可能会喜欢 Max Bennett 写的《A Brief History of Intelligence》这本书里的第3章《情绪的起源》（Origin of Emotion）。不过现实点说，你得先把前面两章读了才行。
You might enjoy chapter 3, 'Origin of Emotion' of a book entitled 'A Brief History of Intelligence' by Max Bennett. Although you need to read the two chapters leading up to it, realistically.
Atul Gawande 写的《Complications》和《Being Mortal》（最好的告别）。让我对现代医学有了更深的体会。还有另一本书彻底改变了我对 AI 以及我们距离 AGI 还有多远的看法：Max Bennett 的《A Brief History Of Intelligence》。进化真是一套牛逼的算法。
Complications and Being Mortal by Atul Gawande. Made me appreciate modern medicine more. One other l book that shifted my thinking completely about AI and how far we are from AGI: A Brief History Of Intelligence by Max Bennett. Evolution is a heck of an algorithm
……人类学习效率相当高。我怀疑 LLM 的 training run 波动性要大得多（而且显然还存在数据效率低的问题）。如果你不介意我不请自来的安利，Max Bennett 的《A Brief History of Intelligence》是一本关于这个话题通俗易懂的好书。它明确地将大脑的进化与现代 AI 进行了对比。
…humans learn pretty effectively. I suspect LLM training runs are substantially more volatile (as well as suffering from the obvious data efficiency issues). If you'd like an unsolicited recommendation, 'A Brief History of Intelligence' by Max Bennett is a good, accessible book on this topic. It explicitly draws parallels between the brain's evolution and modern AI.
看书这方面，由于种种原因（$REASONS），我今年读的书比以往少得多。但在我读过的书里，有一本格外亮眼：Max Solomon Bennett 写的《A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains》。如果你对智能以及相关话题感兴趣，绝对值得一读。
In terms of books, I read way less than usual this year for $REASONS. But of the books I did read, one stood out: A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains by Max Solomon Bennett. If you're interested in intelligence and related topics, it's definitely worth a read.
不客气。如果你对生物大脑的更多背景知识感兴趣，秀丽隐杆线虫（c.elegans）其实真就只是“最初的突破”（借用 Max Bennett 在《A Brief History Of Intelligence》里的说法——这是本最近出的很不错的科普书）。
You're welcome. If you are interested in more background on biological brains, c.elegans is really just "the very first breakthrough" (in the phraseology of Max Bennett's A Brief History Of Intelligence -- a recent, worthwhile popular science book).
你可能会喜欢 Max Bennett 写的《A Brief History of Intelligence》这本书里的第3章《情绪的起源》（Origin of Emotion）。不过现实点说，你得先把前面两章读了才行。
You might enjoy chapter 3, 'Origin of Emotion' of a book entitled 'A Brief History of Intelligence' by Max Bennett. Although you need to read the two chapters leading up to it, realistically.
Atul Gawande 写的《Complications》和《Being Mortal》（最好的告别）。让我对现代医学有了更深的体会。还有另一本书彻底改变了我对 AI 以及我们距离 AGI 还有多远的看法：Max Bennett 的《A Brief History Of Intelligence》。进化真是一套牛逼的算法。
Complications and Being Mortal by Atul Gawande. Made me appreciate modern medicine more. One other l book that shifted my thinking completely about AI and how far we are from AGI: A Brief History Of Intelligence by Max Bennett. Evolution is a heck of an algorithm
Max Bennett 写的《A brief history of intelligence》……目前读下来挺喜欢的，学到了很多关于大脑的知识。
A brief history of intelligence by Max Bennett..I like it so far, I've learned a lot about the brain
……人类学习效率相当高。我怀疑 LLM 的 training run 波动性要大得多（而且显然还存在数据效率低的问题）。如果你不介意我不请自来的安利，Max Bennett 的《A Brief History of Intelligence》是一本关于这个话题通俗易懂的好书。它明确地将大脑的进化与现代 AI 进行了对比。
…humans learn pretty effectively. I suspect LLM training runs are substantially more volatile (as well as suffering from the obvious data efficiency issues). If you'd like an unsolicited recommendation, 'A Brief History of Intelligence' by Max Bennett is a good, accessible book on this topic. It explicitly draws parallels between the brain's evolution and modern AI.