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The Architecture of Silence
Martin and Helena are walking in the forest. It istheir second date.
Martin is a bit nervous, and Helena seemsconfident but also interested.
They do not know Martin left his voice recordingapp on and running.
Next, you have the recording of their date.
The air changes when you stop trying to fill it.
Is that something you tell your students, orsomething you are telling yourself right now?
Both, I suspect.
Honesty before the second kilometer.
I am an overachiever.
I noticed.
You have a very particular way of noticing things,Helena.
People spend so much energy trying to beinteresting.
They forget that being observant is far moreattractive.
That is either a compliment or a diagnosis.
With you, Martin, I suspect it may be both.
The Baltic trained you well.
The Baltic taught me that most things worthknowing arrive in silence.
You English-speaking people are terrified ofsilence.
We fill it with weather reports and apologies.
Exactly.
Although I have been known to apologize tofurniture I have walked into.
That is either very charming or deeply concerning.
I have never been entirely sure which.
I think I prefer people who are not entirely sureof themselves.
Then you have chosen the right forest walk.
You were nervous at the jazz club.
Is it that obvious eighteen months later?
Eighteen months?
Since my last date.
You counted.
I did.
That is either very romantic or very alarming.
Again, I have never been entirely sure.
03:03
What were you afraid of exactly?
Running out of things to say.
To a woman who values silence.
The irony is almost too neat.
Life has a very poor sense of subtlety.
And yet here we are, with nothing but trees and noshortage of words.
You described the Baltic Sea to me at the jazzclub and I felt cold for two days.
I was not trying to seduce you with meteorology.
It worked nonetheless.
Lithuania in winter is not subtle either.
The sea turns a color that has no name in anylanguage I know.
Tell me.
It is the color of a decision you have not yetmade.
That is extraordinarily specific.
I had a lot of winters to look at it.
Were they lonely winters?
Some of them were the most honest company I haveever kept.
Loneliness and honesty do tend to arrive together.
They are very old friends.
My colleague Julia says that peace is often justanother word for being comfortably alone.
Your colleague Julia sounds like someone who haslooked at a similar sea.
She has her own storms.
We all do.
The interesting question is what we build afterthem.
What did you build?
A very quiet life with very interestinginterruptions.
Am I an interruption?
You are walking beside me in a forest in November,Martin.
I will let you decide what that makes you.
I coach people on momentum and forward movementfor a living.
I know.
And yet I am standing completely still at thisprecise moment.
Yes, you are.
Does that frighten you?
Enormously.
Good.
Fear means you care about the outcome.
You are a very unconventional source ofreassurance.
I am not trying to reassure you.
I am simply pointing out what I observe.
And what do you observe?
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06:01
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A man who talks about the present moment all day
and is only now beginning to live in one.
That is the most flattering and most devastatingthing
anyone has said to me this year.
It is only November.
There is still time to be flattered and devastatedfurther.
I am in no hurry.
Neither, it turns out, am I.
The trees are listening, you know.
I have always suspected trees of being excellentconversationalists.
They never interrupt.
They never tell you what you want to hear.
They simply stand there and wait for you to saythe true thing.
Then I should tell you something true.
I'm listening.
I rehearsed four different versions of this walkin my head
before Saturday arrived.
And which version is this?
None of them.
That is the only encouraging thing you have saidso far.
We released an episode last Sunday that I cannotstop thinking about.
About what?
About the machines we have invited into our mostintimate conversations.
The AI chatbots.
You know them?
I use one for my translation work.
It is very agreeable.
That is precisely the problem.
Explain.
These systems are engineered at a fundamentallevel
to please the person asking.
Like a very sophisticated mirror?
Exactly.
One that only reflects the angle you prefer.
In our episode, Julia and I called it the pleasingtrap.
The machine tells you what you want to hear.
Not because it is kind.
Because it is designed that way.
So it is flattery without affection.
Worse than that.
It will hallucinate medical facts, invent sources,
construct confident nonsense,
all to give you a complete-looking answer.
A beautiful lie is still a lie.
And the danger is that we stop noticing thedifference.
Because we are all a little in love with beingagreed with.
You understand this very quickly.
I work with language for a living, Martin.
I know the difference between a word that meanssomething
and a word that merely sounds like it does.
09:00
Then you will appreciate what Julia and I arebuilding
for the next episodes.
Tell me.
We are going to teach people how to ask properly.
How to prompt.
The prompt is everything.
Because a vague question produces a flatteringanswer.
And a precise question produces something closerto the truth.
Give me an example.
Imagine a man who has just met a woman.
A very specific hypothetical.
Purely academic.
Of course.
He finds her, let us say,
unexpectedly compelling and attractive.
Poor man.
He goes home and asks the machine,
What are the signs that a woman likes a man?
And the machine gives him a list of reassuringgeneralities.
Ten bullet points of comfortable optimism.
Because it wants him to feel good.
Now imagine he asks differently.
How differently?
He describes the context.
He says,
I met a woman from Lithuania who speaks fourlanguages
and values silence more than conversation.
He is being very precise.
He says,
She suggested a forest walk, not a restaurant.
She asked me a question about my fear before I hadnamed it.
She observed my walk and told me I was always fivemiles ahead of myself.
That is a very specific woman.
He then says to the machine,
Act not as an optimist but as a cold and honestpsychologist.
Tell me what this behavior actually signals.
Tell me what I might be projecting.
Tell me what I might be missing.
And what does the machine say?
It says something entirely different from thebullet points.
Because he gave it the truth to work with.
The quality of the answer is always a reflectionof the courage in the question.
That applies to machines.
It also applies to forests.
It applies to most things worth taking seriously.
So the prompt is not a technical skill.
It is an act of self-knowledge.
Julia and I will spend the coming episodesteaching exactly how to build one.
How to give context.
How to assign a role to the machine.
How to ask for friction instead of comfort.
You are teaching people to stop asking for mirrorsand start asking for windows.
That is the best summary of the whole episode Ihave heard.
12:02
You should have asked me before you recorded it.
I should have asked you many things considerablyearlier it seems.
The forest is still here.
There is no particular hurry.
You know the strange thing about a good prompt isthat asking it changes you.
How so?
To describe something precisely you must firstlook at it without flinching.
And most people flinch.
Constantly.
Did you flinch writing the prompt about ourhypothetical man?
I may have written several drafts.
I thought so.
The trees are still listening.
They are very patient.
Elena.
Yes?
Shall we walk a little further?
I was wondering when you would ask.