习惯养成与身心关联：AI 提供「方案」，人类寻找「同伴」根据今年的春晚，机器人已经可以流畅地完成空翻动作——也许比当年的李小龙翻得更好。不久后的将来，人型机器人会代替人类在擂台上格斗、在影视剧中完成危险的特技动作吗？也许吧。但我大概是不肯为这类比赛和影视作品买票的。我实在无法把作为人的自己，代入到一堆金属和塑料里面。若没有这种代入感作为基础，我们欣赏的就只不过是科技时代的猴戏：第一次也许惊叹，第二次不过如此，然后就索然无味。
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，这一点在新收录的资料中也有详细论述
“AGI will probably get developed during Trump’s term”
One thing that allowed software to evolve much faster than most other human fields is the fact the discipline is less anchored to patents and protections (and this, in turn, is likely as it is because of a sharing culture around the software). If the copyright law were more stringent, we could likely not have what we have today. Is the protection of single individuals' interests and companies more important than the general evolution of human culture? I don’t think so, and, besides, the copyright law is a common playfield: the rules are the same for all. Moreover, it is not a stretch to say that despite a more relaxed approach, software remains one of the fields where it is simpler to make money; it does not look like the business side was impacted by the ability to reimplement things. Probably, the contrary is true: think of how many businesses were made possible by an open source software stack (not that OSS is mostly made of copies, but it definitely inherited many ideas about past systems). I believe, even with AI, those fundamental tensions remain all valid. Reimplementations are cheap to make, but this is the new playfield for all of us, and just reimplementing things in an automated fashion, without putting something novel inside, in terms of ideas, engineering, functionalities, will have modest value in the long run. What will matter is the exact way you create something: Is it well designed, interesting to use, supported, somewhat novel, fast, documented and useful? Moreover, this time the inbalance of force is in the right direction: big corporations always had the ability to spend obscene amounts of money in order to copy systems, provide them in a way that is irresistible for users (free, for many years, for instance, to later switch model) and position themselves as leaders of ideas they didn’t really invent. Now, small groups of individuals can do the same to big companies' software systems: they can compete on ideas now that a synthetic workforce is cheaper for many.