Did We Really Only Start Outsourcing Taste and Judgment in the AI Era?
Recorded in Chinese
Starting with films, reading lists, and intermediaries, I question whether outsourcing taste and judgment began with AI. I then turn to capturing ideas by voice and trying to build tools for finding specific podcast content.
00:00 I've long wanted to discuss
00:03 aesthetics
00:05 and outsourcing judgment.
00:09 Many say that in the AI era,
00:13 the most important things are aesthetics and judgment,
00:16 or taste.
00:19 But I think
00:24 aesthetics—
00:25 as well as judgment and taste—
00:27 have always been outsourced.
00:31 If someone
00:33 wants to learn about film,
00:37 what do they do?
00:39 They might search
00:40 for films others recommend,
00:46 or books people have written about film.
00:51 Through those paths,
00:55 they form their understanding of cinema.
01:01 They may also—
01:03 not may:
01:05 inevitably—
01:07 watch films made by others.
01:14 Film itself...
01:19 is an expression of taste.
01:24 It also involves aesthetics and judgment.
01:28 Directors and crews take their aesthetics
01:32 and judgments
01:34 and assemble them into the film you see.
01:38 If you watch it
01:39 and like it,
01:41 that means
01:43 the production team's
01:46 aesthetics and judgments
01:49 have been absorbed by you.
01:51 In that sense,
01:55 this too
01:56 is an example of outsourcing aesthetics and judgment.
02:00 If you don't want
02:02 your aesthetics and judgment outsourced,
02:05 make things yourself
02:08 or create works like these.
02:12 But remember:
02:14 People who can truly make a film,
02:18 a short film,
02:20 or even produce
02:22 a reasonably polished vlog
02:26 are still very few.
02:28 Everyone can shoot video now,
02:31 but not everyone can be a vlogger,
02:35 filmmaker, or short-film creator.
02:40 Likewise, everyone can take photos,
02:44 but not everyone
02:46 can be called a photographer.
02:51 Nor can everyone teach photography.
02:56 So...
02:59 Well...
03:01 To some degree,
03:02 when we appreciate something,
03:05 someone else has packaged their aesthetics and judgment
03:08 into the work we see.
03:11 And that produces
03:12 our experience of appreciation.
03:16 Returning to outsourcing:
03:20 this has always existed.
03:24 So why, in the AI era,
03:30 do we suddenly discuss it so loudly?
03:35 Perhaps AI's arrival made
03:37 some people feel threatened,
03:41 so
03:42 that created this climate of panic.
03:47 Everyone talks about aesthetics,
03:50 judgment,
03:52 and taste.
03:56 The same applies beyond film.
04:00 In other fields too.
04:02 On social media,
04:07 there are book explainers and reviewers,
04:09 reading-list curators,
04:13 and...
04:16 Simply put, intermediaries.
04:20 An intermediary is itself a form of outsourcing.
04:25 Add parentheses after it,
04:27 and many things could go inside—
04:30 not just aesthetics and judgment.
04:33 Every intermediary platform,
04:35 every middle layer,
04:37 performs an outsourcing (...) function
04:44 of some kind.
04:49 Hmm.
04:51 Earlier, I thought of
04:53 some relevant examples.
04:56 But now that I suddenly have time
05:00 to record this,
05:02 I've forgotten what they were.
05:05 Inspiration is fleeting.
05:11 I've heard this idea:
05:13 if something interesting
05:15 suddenly occurs to you,
05:17 and you don't record it immediately,
05:20 the idea may leave you
05:23 and go to someone else.
05:25 Last night, while scrolling Moments,
05:28 I saw someone repost a Moments post.
05:31 What they reposted
05:33 was an article from Dedao.
05:36 They said ideas they'd had recently
05:42 appeared almost word for word
05:44 in that article.
05:47 Maybe...
05:49 Well...
05:50 The article was certainly written
05:53 long before they had those ideas.
05:57 More abstractly,
05:59 an idea
06:01 may enter countless minds.
06:04 But
06:05 only a few people take the same idea,
06:10 think it through,
06:13 examine it critically,
06:15 find similar cases as evidence,
06:17 and write down the whole process.
06:20 So I could also say
06:25 only those who write it down
06:28 can become
06:31 the idea's
06:34 owners.
06:36 Even if everyone
06:39 thinks of the same idea,
06:42 what each person writes
06:45 will differ.
06:46 Because their way of thinking,
06:49 their logic and environment,
06:53 and their habits
06:56 are all different.
06:58 So even if everyone
07:01 writes from the same spark,
07:04 the result will differ.
07:07 As they keep writing,
07:09 each person's
07:10 direction
07:12 may change.
07:16 I feel that
07:20 if you can
07:22 catch the moment inspiration strikes
07:24 and hold onto it,
07:28 however you record it,
07:31 that's fine.
07:32 For the person recording it,
07:35 it becomes precious wealth.
07:39 I once wondered:
07:42 if someone
07:44 encounters inspiration at different moments,
07:49 how can they
07:50 capture it quickly?
07:53 Just pick up your phone,
07:58 open the recorder,
08:00 and record
08:02 whatever relates to it.
08:03 That's the fastest way.
08:07 Today we have apps
08:11 that let people dictate,
08:17 use AI to transcribe,
08:20 then turn text into structured material.
08:23 Tools like these
08:24 are among the best
08:27 for moments of inspiration.
08:33 Before vibe coding became popular,
08:36 voice input had very little visibility
08:40 or discussion in daily life.
08:45 But for some reason,
08:47 I've always felt speaking or dictating
08:51 is by far the easiest way for me to express myself.
08:55 I also have a habit:
08:58 when I don't want to type
09:01 what I'm trying to express,
09:05 I open Voice Memos and record it.
09:10 But I keep those recordings to myself.
09:12 I don't publish them.
09:16 This habit has helped me
09:19 capture many past thoughts,
09:22 emotions,
09:24 and ideas.
09:25 The problem is,
09:28 after I record them,
09:33 I never listen again.
09:37 Why?
09:39 Because listening back takes too much time.
09:42 Audio isn't something
09:44 you can skim.
09:47 If you want
09:49 to know what an episode
09:51 contains,
09:53 unless you transcribe it,
09:54 you have to listen from beginning to end.
09:57 Otherwise, you can't access its content.
10:01 Audio is...
10:05 how should I put it?
10:08 a medium with high processing costs.
10:12 It's also unusual.
10:15 I've always wondered:
10:18 why can't we have
10:20 a tool that
10:23 finds podcast content
10:27 on topics I follow,
10:28 and
10:30 returns not only relevant episodes,
10:35 but also
10:37 tells me
10:39 exactly where my point of interest
10:41 appears
10:44 in the episode?
10:48 It could even summarize
10:49 what was said.
10:52 The idea sounds simple,
10:54 but it's hard to build.
10:57 Even with AI coding so powerful,
11:02 when I build such a tool,
11:05 I still find it difficult.
11:07 One reason is:
11:09 audio, as a linear medium...
11:11 really...
11:13 to complete the whole process,
11:15 first you need an API
11:18 to interpret
11:20 what the episode
11:22 is about—
11:23 something like
11:25 transcribing it.
11:27 After transcription,
11:28 you need to use an API again
11:31 to locate
11:34 where your topic appears
11:36 and return it to you.
11:38 It may sound simple,
11:40 but the token cost is
11:45 hmm...
11:46 substantial.
11:47 Previously,
11:50 while testing a tool's MVP,
11:55 I only asked it to analyze—
11:57 to process
11:59 one episode
12:00 under an hour.
12:02 When I checked the bill,
12:04 several dollars were gone.
12:06 Testing one sub-hour episode
12:10 cost several dollars.
12:12 That's expensive.
12:15 So I wonder if
12:17 there's a faster way
12:19 to bring this ideal tool into existence.
12:24 I don't know.
12:28 Ha, this episode really...
12:32 I can't remember
12:33 what I said at the beginning.
12:35 Anyway...
12:37 how does that saying go?
12:40 I just ramble wherever my mind goes.
12:43 All right.
12:46 I'll continue next time.