普通视图

The End of Wonder

2025年6月30日 19:02

Remember 2022, the golden era of the internet? Back then, a reel popped up on my Instagram feed. Security footage captures a man sitting on a Target-ball in front of a store. Target-ball? You know what I mean, those large red concrete balls spaced in front of Target’s glass entryway. They make smash-and-grab rammings nearly impossible. In the footage, an out-of-control car slams into the ball next to where the man sits. The ball caroms into the ball beneath the man, knocks it away like a billiard ball, and the new ball stops directly under the man’s butt. One ball replaced the other. The man barely reacts. He probably doesn’t even know he’s sitting on a new ball yet.

“Whoa!” I watch it again and again. I can’t see any evidence that it’s fake. Convinced, I share it with my family. Real life is better than fiction. I love stuff like this. Loved! In 2022, I could watch it all day. That’s in the past now. Today, anything unbelievable is assumed to be AI.

Last week, I saw a video on Facebook. A grizzly draped itself over a car. It inadvertently pushed the car down the road as it tried to find a good angle to lick spilled food off the car hood. Realistic? Horns blared, the bear huffed, the car beneath the bear struggled under the added weight. Even the camera angle looked believable, as if the photographer tried to keep an extra car between themselves and the bear. Everything appears legit, but the bear is too big, even for a grizzly. It’s as big as the car.

I’ve seen a grizzly up close. The Cabela’s Sporting Goods in Hamburg, Pennsylvania has a taxidermized grizzly standing upright in their store. When my kids were young, we often stopped there for bathroom breaks as we drove to visit their grandparents. Cabela’s had the grizzly, a couple of elk and several huge aquariums filled with lake trout. It’s a nice break after a few hours in the car. The grizzly is massive. It’s unbelievable, frightening, awe inspiring, but it’s not as big as a car. Probably.

Here’s the thing. Maybe the grizzly video could be authentic. Maybe grizzlies actually grow that big. What do I know. I’m a city-guy from Washington, DC. But it no longer matters. I can’t tell the difference between real and fake. And if it isn’t real, what’s the point. The video isn’t exciting if Google Veo 3 thought it up. It’s impressive that AI has advanced so far since Chat GPT’s splashy release a couple of years ago, but it has ruined the magic of the unbelievable. It put an end to wonder.

Yesterday, the New York Times published a test. They posted ten short videos. Readers watched the videos and then guessed whether the content was genuine or AI generated. I got seven out of ten correct, but not because I could spot AI, the videos all looked real to me. I just used basic psychology. The more outlandish the video seemed, the less likely I was to call it AI. The most mundane videos, a guy livestreaming as he walked down a dirt road, two news anchors introducing themselves, those were fake. A whimsical clip of a model releasing balloons into the sky while flapping birds surround her, that one is real.

This is my question, my fear. Will I ever be stunned by a photograph again? A list of some of the greatest, most recognizable photos in history: Charles Ebbets – Lunch atop a Skyscraper; Nick Ut – Napalm Girl*; Alfred Eisenstaedt – V-J Day in Times Square; Steve McCurry – Afghan Girl. The next time a world-changing photograph is published, will we even know if it’s real? Will an artist capture a unique and beautiful (or terrible) moment in time, or will a clever app simply generate something sure to stir those idiotic humans who keep the electricity running.

As if to put an exclamation point on this thought, just before bed last night, I saw a tornado reel on Facebook. Tornados fascinate me. The raw, focused power makes the ‘finger of God’ analogy I’ve heard since childhood the most appropriate descriptor. The tornado in this video was a monster, ever approaching the camera as it tore a swath across the barren countryside. It’s exactly the sort of video I would watch repeatedly, mesmerized by the awful beauty of nature. Instead, I gave my head a quick shake swiped to watch Anatoly prank another room full of muscleheads. Hmmm, I wonder if that one was real. It’s much easier to create these videos on a computer than find a group of weightlifters who haven’t heard of Anatoly.  

*The attribution of Napalm Girl is currently in dispute. World Press Photo has determined that it’s possible Nick Ut, did not shoot the photo. “’Visual and technical’ evidence ‘leans toward’ an emerging theory that a Vietnamese freelance photographer, Nguyen Thanh Nghe, took the photo.”

Image: Screenshot captured from Facebook

机器人简史

2024年11月6日 21:18

评分

⭐⭐⭐⭐⭐ ⭐⭐ 7 / 10

原以为是本历史书,但翻开后发现是本文化书,就内容来说,读读也受启发,机器人不是机器人,是受奴役的人。

再度唤醒世界:赖特诗选

2024年10月28日 00:47

评分

⭐⭐⭐⭐⭐ ⭐⭐⭐⭐ 9 / 10

开篇译作

不知开篇为何引用了一首唐诗译作,英国诗人也喜欢过李白的诗,翻译为:

如果你问我,为何居住在青山中。 我会默默地笑,我的灵魂宁静。 盛开的桃花追随着流动的水, 在尘世之外,有另一片天地。

原诗是:

问余何意栖碧山,笑而不答心自闲。 桃花流水窅然去,别有天地非人间。

“窅” 读为 “yǎo”,基本字义是眼睛眍进去,喻深远,“窅然”用来描绘桃花流水渐渐远去的状态,给人一种悠远、深邃的感觉。在此,翻译者似译出来不同的心境,至少我感受到的李白表达的是内心的追求,宁静是少有读出的。

致创造的造物

孤独如同我的渴望, 我没有女儿。 我不会死于火,我 会死于水。

冬末,我跨过水坑,想起中国古代的一位地方官

况吾时与命,
蹇舛不足恃。

——白居易《初入峡有感》

    作于819年

在网上找了一段他人的翻译:

白居易,开始谢顶的老政客,
有何用?
我想起你
不安地进入长江峡谷,
被拖曳着穿越激流而上
为了官职或其他
去忠州城。
你到达时,我猜
天都黑了。

但现在是1960年,又将是春天了,
明尼阿波利斯高耸的岩石,
堆垒起我自己的
竹索和水的昏黑暮色。
元稹在哪里,这位你钟爱的朋友?
大海在哪里,那曾终结中西部所有孤独的
大海?明尼阿波利斯在哪里?我什么都看不见
除了这棵随冬天变黑的可怕的橡树。
你是否找到了群山之外隔绝尘世的人们的城池?
或者说,你已把这根磨损的残绳的一端
紧握了一千年?

还有 张文武/译:

白居易,你这开始秃顶的老政治家啊,
有什么用呢?
我想起了
不安地进入三峡的你,
为了那一官半职
坐在被拉着逆流而上的船上,
奔赴忠州城。
我猜你到那儿的时候
天已经黑了。


而现在是1960年,眼看又是春天了,
明尼阿波利斯高高的岩石,
带来了我自己幽暗的黄昏,
竹索和水的黄昏。
你的好友元稹在哪里?
那曾经将整个中西部的孤独都带走了的
大海在哪里?明尼阿波利斯在哪里?除了这棵
因为冬天的到来而变黑的可怕的橡树,我什么都看不见。
你找到群山之外那座沦落人的城市了吗?
抑或是,将一根已然磨损的绳子的一端
握了一千年?

(2007-11-23 03:03:39)

原诗:

As I Step Over A Puddle At The End Of Winter,
  I Think Of An Ancient Chinese Governor

by James Wright


And how can I, born in evil days
And fresh from failure, ask a kindness of Fate?

– Written A.D. 819


Po Chu-i, balding old politician,
What’s the use?
I think of you,
Uneasily entering the gorges of the Yang-Tze,
When you were being towed up the rapids
Toward some political job or other
In the city of Chungshou.
You made it, I guess,
By dark.

But it is 1960, it is almost spring again,
And the tall rocks of Minneapolis
Build me my own black twilight
Of bamboo ropes and waters.
Where is Yuan Chen, the friend you loved?
Where is the sea, that once solved the whole loneliness
Of the Midwest?Where is Minneapolis? I can see nothing
But the great terrible oak tree darkening with winter.
Did you find the city of isolated men beyond mountains?
Or have you been holding the end of a frayed rope
For a thousand years?

重新发现“此时此刻”

现在已无人读诗,但依然有诗人。

诗歌是现实的犁耙,诗人是犁田的人。

过去不够碎,现实之土在诗人词汇的翻耙下熠熠生辉,如今现实稀碎,诗歌亦可用来弥合罅隙的流光。

Clojure Recipes

2024年10月28日 00:47

评分

⭐⭐⭐⭐⭐ ⭐⭐ 7 / 10

Clojure 是种 JVM 语言,但它的语法是 lisp,这样看来,它即没有 Java 那么累赘,又利用了 JVM 这个经过检验的中间平台。于是 Clojure 成为了掌握 lisp 又想利用 Java 生态的人的选择。

这种第一印象还是有点绕,但真实世界中,有不少 clojure 的应用。比如 LightTable,你很难想象 clojure 居然做了一个基础的编辑器,以及还有 clojure web 等好看的书。

本书一上来准备好环境后,就直接来了一个 WEB API 项目,可谓很实用,同时你发现 lisp 的表达甚至比 Python 还要紧凑简洁,当你在书写属性前习惯打一个:号时,你是否想起来 Vue 的运算属性也是这个写法,是不是其灵感来源?一旦你掌握了它,那也是一把好用的武器。

但基于国内环境,本书还是属于“没有优先级,有空老来看”系列。

文案卖货

2024年10月28日 00:47

评分

⭐⭐⭐⭐⭐ ⭐ 6 / 10

文案 = 卖货

凡语言所达处,皆是战场。

  • 做新:什么是新,没见识过。
  • 做尖:极端
  • 做思:提问

品类、品牌。

消费者用了产品变得如何牛

大胆报价;激励成交。

找大卖的

在已有的基础上改

跨行业找

印象派与东亚美术

2024年10月28日 00:47

评分

⭐⭐⭐⭐⭐ ⭐⭐ 7 / 10

内容还不错,能读,但谁会想着去读一本小开本、环保纸的印象派艺术书呢?艺术韭菜吗。

莫奈、德加、梵高,都在,但总觉质感无法呈现内容,形式和内容不符。

Racket Programming the Fun Way

2024年10月28日 00:47

评分

⭐⭐⭐⭐⭐ ⭐⭐⭐ 8 / 10

说明

Racket 的优势是,将 lisp + 常用数据类型 + 绘图 + GUI,因此可以很方便做出很多 2D 图形游戏。

适合作为讲述通用编程思想的语言。

在实战中,lisp 的表达能力确实强于 python、js,但 Python 视觉上更简洁,少了许多视觉障碍,而 Js 也可能是最开始学的 C 教学的缘故,大家也习惯大括号。

主要内容:讲解了 lisp 基础,比如

  • 原子类型 Atomic Data,number 和 strings
  • Lists
  • S-Expressions
  • List Functions
    • length
    • reverse
    • sort
    • append
    • range
    • make-list
    • null?
    • index-of
    • member
  • Defines, Assigns and Variables
  • Symbols, Identifiers and Keywords
  • Equality
  • Strings, Things
  • String Functions
    • string-length
    • substring
    • string-titlecase
    • string-upcase
    • string-downcase
    • string<=?
    • string=?
    • string-replace
    • string-contains?
    • string-split
    • string-trim
  • String Conversion and Formatting Functions
  • Vectors
  • Struct
  • Controlling output
    • write
    • display
    • print
  • Arithmetic
    • Booleans
    • Integers
    • Rationals
    • Reals
    • Complex Numbers
  • Numeric Comparison
  • Built-in Functions
    • abs
    • ceiling
    • floor
    • tan
    • atan
    • cos
    • sqrt
    • srq
    • log
    • exp
    • expt
  • Function
  • 绘图
  • GUI
  • 算法

很多 Python 书也是这种思路了。

本书的最大特点就和 Racket 一样,非常学术,实现了扑克牌游戏、A* 算法、Dijkstra 算法、八皇后问题、数独,甚至还有我喜欢的 15-Puzzle,也是用 A* 搞定的。

Racket 画个黄金螺线,那是最擅长的

Racket 就像一个老教授或一个顶级 Geek 一样,可以实现一切算法。但将 Racket 用到 Real world 中,会遇到现实粗砺的坑,现实会用人性打败他,会用数据量打败它,会用缺少必要中间件、分布式组件打败它,让 Racket 呆在它的教学领域是最好的选择。

精通的 Racket,能很快适应现代语言的基础特性,毕竟编程语言的爷爷在这里,比如新语言中出现 match 等,而反过来就不成立。

❌