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今天 — 2024年11月23日首页

读《莫比乌斯先生和他的读者》后的谢罪书

作者 ONO
2024年11月22日 21:34

看到来了这么多流量和观点的互动,我就知道我大概是又炸了坑了。

这个时候就收到了一些观点,比如认为我其心可诛地批判了既可以是自我表达(写给自己),和观点交流(给他人看)的博客。认为我当初创作的《写博客是为了自己就别他妈发表出来啊》,是在扯淡,认为我在对这一类博客主赶尽杀绝。

我在文章里提到了“如果写给自己的,干嘛还要公开发布呢?”这个问题,是为了让创作者思考一个切实的问题——自己的作品到底希不希望被他人看见?

当你承认“写博客”就是为了“得到关注之后”,自然也会反向敦促自己是不是不应该写那些自话自说的“日记”,因为人们包括我自己,最关注的始终是自己,才会因为找到了臭味相投的人、或是引起共鸣的事而产生链接。如果“写博客是为了自己”卡在那里,就会变成一股拧巴的能量,一方面因为得不到关注而自我安慰,但另一方面又因为自我安慰带来不了实际的成就感而自我攻击……

我并不是说所有写博客的人都是为了得到他人关注,但是公开发布作品的人,有必要问清楚自己这个切实的问题——自己是不是希望得到关注。我相信,人类作为社会动物,都是需要被看见的,否则他的存在性会完全丧失,自观是一个路径,他观也是一个路径,这两种没有对与错,只是看个人取舍。自观是难得的自省,但也容易孤芳自赏、闭门造车;他观能够看到更多不为人知的自己,但也容易过度在乎他人目光而活得疲惫。而人们拧巴的点就在于明明希望被看见,却又逢人便说自己不在乎他人眼光。当然啦,这种拧巴当然也没有对错,也是一种选择,成年人应该为自己的选择承担其“代价”。

如果真要承认个罪行,那就是“标题党罪”?这我认,毕竟大家都希望做好人,那我就做做坏人来讨论些大家容易拧巴,却又不愿意直面的真相。

我认为这种观点的互动有必要的,因为凡真实的,必会相遇。

骑车的装备

作者 Juby
2024年11月22日 22:25

为爱好花钱是难免的事。一种情况是刚入坑时头脑发热冲动消费,最容易花冤枉钱。另一种情况是入坑日久真心热爱有需求,消费时能理性、节制且有的放矢。还有一种心理是虚荣、跟风和攀比。最后有一类人叫装备党,他们舍得花钱,对装备的关注超过了运动本身。

我在骑车上花了一些钱,买了不少东西,但肯定不是装备党,有些是冤枉钱,有些是受虚荣心的驱使,而有些的确是有用的好物。

骑车几年后,突然在某一刻顿悟了,不再刻意追求外在的形式但也不将就,更多是单纯享受骑车的乐趣,生出一种宠辱不惊的豁然。

工作后从淘宝花两三百元买了一辆山地车,简直就是工业垃圾,维修费都快超过原价了,最后当废铁卖了五块钱。

又从闲鱼买了一辆二手的美利达山地车,去过滁州,去过扬州,渐渐觉得不够快也不够帅,想买公路车。

去车店看车,计划买辆便宜的,试过TCR后咬牙买了,第一次感受到自行车是这样轻便。

入公路车后,渐渐知道了很多品牌,总觉得骑捷安特过于普通,想等有钱了买辆大街上少见的名牌。然而钱没等来,这种想法却从脑中远去了。骑得久了,不再觉得TCR掉价,也不羡慕他人的豪车。等TCR退役,再次买车也不想超过它的价格。

还买过小径车、林道车,美利达转手了,林道车也卖掉了,却剩小径车烂在手里,实在没有市场需求。

车衣

听说骑车硌屁股,有了美利达便买了一条品质还可以的骑行裤。后来陆续买了三套半骑行服,都是便宜的那种,百元以内可买一身。

自己骑车没有比较,团骑觉得别人的车衣品质好样式好,也买了两套。与便宜货相比更修身,穿着体验没有很大提升,可能排汗更好一点。不过以后再买车衣的话,还是会买贵一点的。

眼镜

我是近视,不方便戴风镜,但有防风沙的需要,还不想让别人看到自己的脸,权衡之后选择的方案是戴隐形再戴风镜。

一开始买的国产品牌,价格也有六百多,后来有人说这眼镜不行,又买了一副Oakley,其实就贵了几百块,纯粹虚荣心作祟。如果有一次重新选择的机会,换作现在的自己肯定不会买了。骑车的频次变少,都懒得戴风镜了。

头盔

刚开始花二百多买的头盔,慢慢就嫌弃了,主因是丑,可能安全系数也不高。之后买了MET的头盔,用到现在。买林道车后还想配山地盔,头太大没有合适的尺码未买成。

轮组

有人说我的车轮不行,是成车的铝合金轮,遂换成碳纤维板轮,但也是价格便宜的国产。其实是看了Youtuber的推荐才决定买,没想到设计有瑕疵,后轮的花鼓经常有挤压声,不想再花钱只有忍。换成碳轮应该是让车子轻了一点,但对于巡航和爬坡的助力却没有任何感知。

锁踏锁鞋

上锁让骑车更有安全感,虽然也曾零速摔过。锁踏锁鞋都是从车店买的,自然有些溢价,除了锁片的损耗,锁踏锁鞋还是比较耐久的。用了几年,等到锁片磨得扣不住才更换,也不是节省,而是没这个意识。因为是在路上发生的,只好顺路去车店换锁片,其实自己换就可以了。

码表

一开始用的是买车送的磁铁感应码表,没有GPS,记录行程得用手表或手机。后来买了价格适中的Bryton码表,感觉蛮好用的。有一个码表放在车上很有安全感,提醒自己速度不要太快。

配件

自行车的一些配件都是消耗品,时间久了需要更换,比如来令片和把带都换过,车胎爆了自然也得换。链条倒一直没换过,或许哪天就自己断了。还主动升级过碟片,没感觉出差别。

手套

我觉得手套能用就行,主要是防汗,同时也可以保护手。买过最贵的一副是EVA和捷安特的联名款,一是因为EVA,二是在车店玩的久了师傅经常免费帮忙调车,消费一下礼尚往来。

水壶

水壶和水壶架也没必要花太多钱,对我来说能用就行,如果只是为了减重或空力买碳纤维之类的水壶架,难免有点装备党,当然有钱人随意。

Humans Are About to Learn Like Never Before

作者 David Cain
2024年11月23日 01:03

Post image for Humans Are About to Learn Like Never Before

Humans aren’t good at predicting the future, but sometimes you can see a trend that promises something great — like “a genie is granting your wish” great. I think this might be happening right now with one of my genie wishes, maybe yours too.

For me it has to do with the piles of unread books I own. There’s almost nothing I want to do more than plow through stacks of 600-page history and philosophy books, but my efforts are mostly thwarted by the cognitive difficulty I have with processing line upon line of printed text. While I’m reading, my attention veers off at least once or twice per sentence (unless I read aloud, which is slower, hard on the throat, and not always appropriate).

It’s not a small impediment to learning. Not to sound dramatic, but those books represent something I want badly that feels locked away from me, like I’m stuck in the middle act of some frog prince fable. Imagine you loved swimming more than anything, but water happens to cause you horrendous itching.

Audiobooks allow me to spend more time reading (e.g. in the car, at the gym) but lapses of attention still occur frequently. I rewind a lot, but I still miss the context needed to understand the next point. Missed context accumulates until the content is mostly lost on me, then interest crashes completely and I stop.

This happens because books, in any form, are essentially long strings of interdependent sentences, which must be read and understood in order. They operate something like old strings of Christmas lights – miss an important “bulb” and the rest might not work for you at all.

When you skipped a footnote

There are other ways to learn, of course, but they too depend on one’s ability to comprehend long, uninterrupted strings of declarative statements (e.g. recorded lectures), or else they’re expensive and time-consuming (formal education, tutoring), or both.

Books are the traditional go-to for self-directed learning, and I would pay a million dollars for a way to reliably and comfortably get their contents into my head. I envy people for whom reading a book is a straightforward matter. There’s so much I want to learn and study, but processing 500 pages of interdependent sentences is about as easy for me as tying off five thousand balloons while wearing loose rubber dishgloves. Despite this handicap, I’ve certainly read hundreds of books to completion, but I’ve abandoned thousands. Too many missing bulbs.

Me reading Heidegger, page 4

Regardless of whether you suffer this particular bottleneck to self-directed learning, we’re starting to get some new tools that could multiply your current ability to learn.

Over the last few months, I’ve been using A.I. tools, such as Claude or ChatGPT, to learn in a different way. Mostly I get primers on things I’ve always wanted (or suddenly want) to know, such as how does jury duty work, what was Hegel actually talking about, or what do tariffs do and why do people disagree so strongly about them? I can then dig as deeply as I like into the topic, down any strand of inquiry.

The conventional method of intellectual inquiry, for most topics, is to find and read a long sequence of declarative sentences published by someone who apparently knows what you want to know. This means books if you want depth, encyclopedia entries if you want summaries, essays if you want opinions, and lectures if you want lectures.

All of these learning forms, however, depend on your ability to follow, sentence-by-sentence, the thin and winding line upon which the author wants to unspool their knowledge, creating a potential Christmas-lightbulb problem. Every lapse of attention during a given “unspooling” creates another gap in the context for everything to follow, creating a state of ever-disintegrating interest and comprehension. Many of us simply aren’t going to make it through the endeavor — some facts get through, but a working knowledge never crosses over to the new host.

Curiosity level by page 78

This isn’t a huge problem for everyone, but I suspect it is for a massive, untold segment of the population. How many students completely disengage with learning material, at some point, in virtually every subject, because they can’t hold onto an interesting thread long enough? How many people check out of the practice of reading at all, early on in life, because it’s more frustrating than rewarding?

Talking to an A.I. like Claude or ChatGPT allows you to inquire into a topic from right where you are, circumventing the Christmas-bulb effect. You can begin with exactly the aspects of the subject you’re most curious or confused about. What even is jury duty? How do they teach jurors to interpret evidence? Or is that even a part of it? Was that thing I saw on Law & Order the way they really do it?

An A.I. can engage your right at your current level of understanding (or misunderstanding). If you need a definition, or more context, in order to proceed, just ask. If the explanation is too general, you can tell it to get specific. If you need a metaphor, it can provide one (or three or four) immediately. If its language is too technical, or too basic, you can adjust that.

Knows how it works

You can tell an A.I. to answer your question in fifty words, or a thousand. You can ask as many follow-up questions as you need. If it mentions a jury-selection rule you find bizarre, you can ask it to fabricate a debate between two people for and against that rule. You can ask why they don’t just do it this way or that way. You can ask for ten different analogies until you get it. Unlike a human, an A.I. is infinitely patient with you and any trouble you’re having.

After a half hour of free-form inquiry you can come away with a much better understanding of almost any topic – certainly better than what you’d get from virtually any 30-minute lecture or period of assigned reading.

Far more learning could happen in this world if more people could remain interested and attentive to what’s being said. Imagine a world in which 10x, or 100x as much real learning is happening, and across a far greater proportion of the population. That’s a different world.

Deserves a better path

Learning via A.I. interaction is especially powerful for examining your existing beliefs, and understanding why people disagree with you. It’s very hard to do this in open conversation with another human being. Conversation about charged topics is easily distorted by partisan judgments, emotional reactions, and fear of misunderstanding. These factors are massive impediments to learning about and understanding world issues.

You can tell Claude your current opinion about how crime should be dealt with, for example, or when we should intervene in foreign wars, and ask what it thinks you’re overlooking. You can tell it what your take is on the Vietnam War and ask it what Gore Vidal, Jane Fonda, or Douglas MacArthur might have said about that. You can have it write a mini-essay disputing your view, or even have it grill you on your position. There’s nobody to be offended, nobody to accuse you of asking the wrong questions or sounding like one of “them.”

Of course, what an A.I. says to you can be biased, or totally wrong, both factually and morally, but that’s true about humans (and their books) too. All the more reason to seek multiple framings of each question.

[NOTE: Judging by some of the comments I should perhaps emphasize that I’m very aware that AI chatbots are somewhat clunky at doing some of things I’m talking about above, and you should not assume that they’re right about anything. What I’m most excited about is where this tech will be in five or ten years.]

My excitement about this technology is not an indictment of books, not at all. I love books. Books are lindy. I love to sit in a chair and follow someone’s printed, sequential thoughts about a topic, when I can stay on the same wavelength. Books are wonderful, but they don’t serve every attempt to learn.  

Great, but not at everything

The future potential for A.I. assisted learning is incredible. We’re about to go from rubbing two sticks together to widespread access to lighters and matches. Say you’re studying for an exam in a dry topic like history or economics. Instead of force-reading a textbook, you can study with a small team of virtual tutors — subject matter experts who can explain to you the vital concepts using language you understand, and analogies related to your actual interests.

Imagine putting on some VR goggles and walking with a virtual Socrates on a shaded stoa, while he expertly leads you, question by question, evening by evening, to a genuine understanding of Hellenic philosophy (or for that matter, American history) at a level strong enough to ace a real professor’s exam.

Philosophy is useless? Tell me, Steven, how do you know that?

I can understand being sketched out by this kind of technology. It seems inevitable that A.I. will change the world profoundly, and quickly. People are going to absorb themselves, sometimes too deeply, in virtual spaces. (Actually this has been happening for decades.) Propaganda will have many new avenues. But what’s better to combat it than a much more knowledgeable population?

I don’t know what’s going to happen. I think it’s a safe bet, though, that one of those profound, A.I.-induced changes will be a massive increase the human capacity for learning and understanding.

For many people, on a personal level, it will feel like the Berlin Wall coming down. We’re about to catch up on a lot of missed opportunities.

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