Who Designed the Things We Take for Granted?
Recorded in Chinese
Smooth transitions in Apple Music draw my attention to designs I usually overlook. Autoplay, loading animations, and children’s curiosity lead me to ask who shapes everyday experiences and what they want us to do.
00:01 I recently tried Apple Music.
00:05 While listening there, I noticed
00:10 that between one song and the next,
00:14 there was a fade-in and fade-out effect.
00:20 I think the official terms
00:23 are Crossfade and AutoMix.
00:29 When I first noticed it,
00:32 I thought,
00:33 wow,
00:33 what a lovely surprise.
00:35 I'd never had that experience
00:38 with any other music app.
00:42 So then,
00:42 I asked AI what was happening.
00:46 What I first noticed was—
00:48 no, wait—
00:49 I never seemed to hear the first song end.
00:52 Before I realized it,
00:54 the next song had already begun.
00:57 The transition happened unconsciously,
00:59 and felt so smooth
01:01 that it actually caught my attention.
01:04 So I asked AI
01:05 what was going on.
01:07 It introduced me to
01:09 Crossfade and AutoMix.
01:15 Then it told me
01:16 Spotify has this feature too.
01:19 I was shocked.
01:20 I've been
01:22 a Spotify user for years,
01:24 and I never knew it existed.
01:27 Before that, I mostly used
01:29 apps from mainland China,
01:32 like NetEase Cloud Music.
01:36 Oh, right.
01:37 Here in mainland China,
01:38 I mostly use NetEase Cloud Music.
01:41 I haven't used QQ Music in ages.
01:45 So the two music apps I use most
01:48 are NetEase Cloud Music
01:49 and Spotify.
01:52 When AI told me Spotify also has
01:54 a Crossfade feature,
01:56 I thought,
01:57 really?
01:58 So I looked in Spotify's settings
02:03 and checked.
02:04 It really was there.
02:05 But its design lets
02:08 the user decide
02:11 how many seconds the crossfade lasts.
02:16 And I thought this design—
02:19 how should I put it?
02:21 The result could never
02:23 be as good as Apple Music's.
02:25 Every song has
02:32 well,
02:32 structure at the beginning and end.
02:35 If you use one fixed standard,
02:38 the same Crossfade setting,
02:41 for every song's beginning and end,
02:45 I don't think the experience
02:47 can match Apple Music's AutoMix.
02:51 My understanding is that AutoMix
02:55 might use AI to analyze
03:00 similar structures between the two songs
03:03 and find the right
03:05 point to join them.
03:07 That can make listeners—
03:11 for example, it made me feel like
03:13 I hadn't even heard one song end.
03:15 How had the next one already begun?
03:18 AutoMix gave me
03:22 exactly that feeling:
03:25 a seamless flow.
03:27 I don't know why,
03:28 but I feel this feature
03:31 is incredibly good
03:34 for a music listener like me. So good...
03:38 I was actually using Apple Music
03:41 through its
03:43 one-month free trial.
03:46 Now I may pay for it next month.
03:49 And this phenomenon
03:52 made me think of other things.
03:55 Where else might
03:58 a similar feature
03:59 be used?
04:02 I thought of
04:03 when I'm watching a video on Weibo
04:06 and accidentally
04:08 swipe upward.
04:12 It immediately jumps to another video.
04:14 And I remember thinking,
04:17 why design it this way?
04:19 I was clearly still watching that video.
04:21 I only swiped by accident,
04:23 yet it served me the next one.
04:26 That also made me think of
04:31 the classic example: Douyin.
04:33 Douyin has continuous autoplay,
04:36 and Bilibili has
04:39 a similar feature.
04:40 It autoplays.
04:42 Why does that feature exist?
04:45 I think the thinking
04:47 behind that design was deliberate.
04:50 Then I realized similar ideas
04:52 may appear on other levels too.
04:55 When we're using an app,
05:00 for instance, we may move
05:03 from one screen to another.
05:05 Sometimes,
05:06 moving from screen A to B takes time.
05:09 During that loading period,
05:11 the app can't leave the user
05:13 staring at the screen and waiting.
05:15 So it may add an animation
05:20 to draw the user's attention
05:22 toward the animation.
05:23 That brief interval can then
05:26 cover the loading time.
05:30 Another example
05:31 is the friction we often feel
05:34 in the user experience.
05:37 That's one example.
05:38 There are many others.
05:42 I often feel
05:43 that when something suddenly sparks,
05:50 and I follow that spark outward,
05:52 I discover so many
05:54 interesting things connected to it.
05:56 And these things—
05:57 or these phenomena—
05:59 may be things we normally
06:01 have already
06:03 come to take for granted.
06:07 We assume their presence
06:09 is simply
06:10 unobtrusive,
06:11 so we never turn around and ask,
06:14 hey,
06:14 why is this thing the way it is?
06:16 I find this sense of familiarity
06:22 quite interesting.
06:24 When we take something familiar
06:27 and treat it as unfamiliar,
06:29 or examine the design philosophy
06:33 or principles behind it,
06:35 it becomes even more interesting.
06:40 Then I thought about
06:42 some moments with my young niece.
06:47 When she was very little,
06:49 we spent a lot of time together.
06:51 And I noticed that,
06:53 as a child
06:55 of three or four,
06:57 then four, five, or six,
06:58 she saw me very often.
07:01 Whenever I took her out,
07:03 she would see things
07:04 that, to me,
07:06 were completely ordinary,
07:08 or ordinary topics.
07:10 Then she'd ask me,
07:12 "Auntie,
07:13 what's that?"
07:14 Or,
07:15 "Why is that?"
07:16 Or,
07:17 "What is that thing?"
07:19 She would ask me endless questions.
07:23 And I started thinking.
07:25 At the time, I was still
07:28 working as an educator at a school.
07:30 While spending time with her,
07:32 I compared her state with
07:36 that of the students I met at school.
07:39 At school,
07:40 I taught elementary, middle,
07:44 and high school students—
07:46 the full K–12 range.
07:48 I'd taught students at every age.
07:50 So I compared them.
07:52 Elementary school students clearly
07:54 asked many more questions
07:57 than middle and high school students.
08:01 They had far more questions
08:02 and much more curiosity about the world.
08:06 By middle school, though,
08:08 they seemed to be
08:10 at a crossroads.
08:13 Their curiosity
08:15 and liveliness had faded since childhood,
08:18 but greater than in high school.
08:20 As for the high school students,
08:23 some were still
08:24 very lively indeed.
08:28 But from my adult perspective,
08:31 I sometimes felt
08:32 their energy was aimed the wrong way.
08:34 That doesn't mean
08:35 I thought that liveliness was bad.
08:38 More often, though, they seemed lifeless.
08:42 Especially in the last two years,
08:46 they were less curious about many things.
08:48 For them,
08:50 daily life followed the same three stops.
08:53 Their daily tasks were simply:
08:59 listen to the teacher,
09:01 do their homework,
09:03 review the homework in class,
09:05 then start a new lesson.
09:07 These things
09:09 became the most mundane routine,
09:14 yet they were still their duties.
09:17 Comparing the two made me wonder:
09:20 why does this happen?
09:22 What exactly
09:24 changes their state
09:28 from something I find so adorable,
09:31 so alive,
09:32 and so vibrant
09:34 into—
09:36 to exaggerate a little—
09:37 a pool of stagnant water?
09:40 What lies behind that change?
09:46 I won't go further into it,
09:48 but I find the thinking behind it
09:50 deeply, deeply interesting.
09:53 Recently, I also came across
09:56 maybe the Center for Humane Technology.
10:04 Its website,
10:05 if I remember correctly,
10:06 was humanetech.com.
10:12 I may be remembering wrong.
10:14 Anyway, after finding the organization,
10:16 I took a look
10:17 at some of the courses
10:18 on its website.
10:20 And I thought,
10:21 wow,
10:22 people are actually working on this.
10:25 In today's age of AI,
10:29 how should I put it?
10:33 The direction many things take,
10:36 or the way they happen,
10:38 may all be designed.
10:41 Think of the recent OpenClaw frenzy.
10:48 Why did it become so wildly popular?
10:50 Everyone, from national governments
10:53 down to individuals,
10:55 was swept into the storm.
11:00 There may be reasons behind that too.
11:07 For me, analyzing such phenomena
11:10 is incredibly interesting.
11:13 Likewise,
11:13 once I trace the thread clearly,
11:16 I want to
11:17 take one point along that thread,
11:21 write down the event it represents,
11:24 and turn it into an essay.
11:26 I also hope that
11:27 if I write such an essay,
11:30 others can read it and clearly see
11:32 what lies behind familiar things:
11:35 who helped design them,
11:42 what they wanted people to become,
11:44 and what goals they wanted to achieve.
11:47 Sometimes, I think we can
11:49 turn certain things to our own advantage.
11:51 But what if you encounter something
11:54 you can't reclaim at an individual level?
11:59 What do you do then?
12:01 That brings us back to
12:04 the question of AI's development.
12:07 Many say AI's advance is irreversible.
12:10 If it is irreversible,
12:12 that also means some things
12:14 will inevitably escape human control.
12:17 To increase human control,
12:22 or to welcome
12:26 a more humane future,
12:28 what should regulators,
12:32 or people deeply concerned
12:35 with AI safety, do?
12:40 Every part of this
12:42 is just so fascinating.