Living the Exception

With the rise of AI,

the way we come to know things is quietly changing.

In the past, we learned in order to acquire knowledge.

We memorized formulas, studied history, and understood theories.

But now, much of this can be presented instantly by AI.

How to solve a math problem.

Legal interpretations.

General medical guidance.

Program structures.

When it comes to things that already have answers—

things someone has already theorized—

AI is remarkably efficient.

In many cases,

there is little need for humans to compete with it.

Reaching an existing answer

is faster, more accurate, and less tiring for AI.

So a question naturally arises:

What, then, is left for humans?

---

AI is weak when it comes to exceptions.

More precisely,

it tends to average them out.

Situations not found in training data.

Ambiguous contexts.

Conflicting values.

Questions with no single correct answer.

In these moments,

AI responses often drift back toward generalities.

Plausible,

yet somehow not quite fitting.

This is natural.

AI generates answers based on patterns from the past—

what is most likely,

what is most typical.

But life does not follow patterns.

If anything,

what shapes our lives are exceptional moments.

Illness.

Encounters.

Partings.

Failures.

Accidents.

Intuition.

These cannot be explained

by statistical averages.

And yet,

this is where we actually live.

The history of how we face these exceptions

becomes our individuality.

AI generates

average answers.

But people carry experiences

that fall outside the average.

Contradictory experiences.

Inconsistent choices.

Turning points that defy explanation.

Layered together,

these shape who we are.

Even with the same knowledge,

we do not arrive at the same answers.

Because we each face exceptions differently.

That is why

you are who you are.

---

Here, the meaning of education also begins to change.

Traditionally, education meant access to knowledge.

Knowing the correct answers.

Learning the right methods.

Being able to give proper explanations.

This is still important.

Trying a method,

making mistakes,

and understanding again.

Through this process,

the foundation of thinking is formed.

And with that foundation,

we can begin to evaluate

the answers AI provides.

But beyond a certain point,

AI can take over.

In that sense,

what matters is no longer knowledge itself,

but what lies beyond it.

---

What becomes important now

is the ability to face exceptions.

The ability to tolerate uncertainty.

The ability to continue thinking

while holding contradictions.

The ability to pause

within not knowing.

The psychologist Donald Winnicott spoke of

“the capacity to be in uncertainty”

as an essential aspect of maturity.

The educational philosopher John Dewey also suggested

that learning is not simply solving problems,

but living within them.

Education, then,

may not be about giving answers,

but about cultivating

the psychological stability

to face exceptions.

AI can help with knowledge.

But facing exceptions

is something only humans can do.

And it is within those exceptions

that originality emerges.

AI is strong in the structures of the past.

Humans create exceptions.

Education, too,

may quietly move in that direction.

---

→ Our Approach　→ Retreat Schedule