1000093664
Aug 08, 2026 03:19
· 2:17
· English
· Whisper Turbo
· 2 Mpitondra teny
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Speaker 1 (1000093664)
Can we encode our personal taste into an AI model?
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Speaker 1 (1000093664)
And while my previous reels covered this topic from a technological standpoint,
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Speaker 1 (1000093664)
I'd like to also bring about a philosophical argument in this question.
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Speaker 1 (1000093664)
In 1982,
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Speaker 1 (1000093664)
a philosopher asked a question that still has no answer.
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Speaker 1 (1000093664)
I'd like to introduce you to Mary.
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Speaker 1 (1000093664)
She's a neuroscientist who knows everything about color.
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Speaker 2 (1000093664)
The wavelengths,
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Speaker 1 (1000093664)
the cone receptors,
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Speaker 1 (1000093664)
exactly which neurons fire when you see red.
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Speaker 1 (1000093664)
She has the perfect,
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Speaker 1 (1000093664)
complete information.
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Speaker 1 (1000093664)
But she spent her entire life in a black and white room.
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Speaker 1 (1000093664)
she has actually never seen the color red now the question that i pose to you is
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Speaker 1 (1000093664)
that when mary finally walks out and sees the color red for the first time does
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Speaker 1 (1000093664)
she learn something new what she'd be gaining when she sees the experience for
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Speaker 1 (1000093664)
the first time has a name and it's called qualia which is basically the felt subjective
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Speaker 1 (1000093664)
quality of an experience not just the information about it think of
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Speaker 1 (1000093664)
our ai models as mary we feed it all information
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Speaker 1 (1000093664)
every waveform every lyric every biometric trace it will know everything about the experience
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Speaker 1 (1000093664)
it might even predict the experience with extraordinary precision but the thing is that it has
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Speaker 1 (1000093664)
never felt anything it is like Mary in the room Bertrand Russell
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Speaker 1 (1000093664)
called this the difference between knowledge by acquaintance and knowledge by description for example
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Speaker 1 (1000093664)
you can know Paris by description its history its geography every photograph ever
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Speaker 1 (1000093664)
taken or you can know Paris by acquaintance the specific quality of light
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Speaker 1 (1000093664)
as it falls on the Eiffel Tower the smell of the metro
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Speaker 1 (1000093664)
But one experience cannot become the other,
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Speaker 1 (1000093664)
no matter how much information you add.
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Speaker 1 (1000093664)
The model only has knowledge by description.
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Speaker 1 (1000093664)
The knowledge by acquaintance,
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Speaker 1 (1000093664)
that direct felt contact with the thing itself,
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Speaker 1 (1000093664)
may be structurally out of reach.
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Speaker 1 (1000093664)
And researchers are taking this seriously.
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Speaker 1 (1000093664)
Integrated information theory tries to mathematically measure consciousness as a
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Speaker 1 (1000093664)
property of information structure.
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Speaker 1 (1000093664)
Anthropic also has a team working on model welfare.
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Speaker 2 (1000093664)
The problem,
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Speaker 1 (1000093664)
however, is that we don't know how to test for quality.
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Speaker 1 (1000093664)
or qualia of an experience in any system honestly we can't even fully test
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Speaker 1 (1000093664)
for it in each other how would we do that for a machine the subjective viewpoint the first person
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Speaker 1 (1000093664)
inside of an experience doesn't seem to be accessible from the outside no matter how
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Speaker 1 (1000093664)
much you complete your third party description or a third person description the model has only
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Speaker 1 (1000093664)
ever seen the outside view the question is whether anything including us can hand over
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Speaker 1 (1000093664)
the internal experience because i don't think we ourselves know how to quantify
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Speaker 1 (1000093664)
or articulate qualia as a trait
IA (fifandraisana amin'ny feo) no namorona ity dika mitovin'ny soratra ity. Mety misy tsy fetezana - jereo ny feo voalohany raha mila ampiasaina amin'ny fomba henjana. Politikan'ny AI
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Manontany zavatra momba ity dika mitovy ity — hahita ny ampahany mifandraika amin'izany ny AI ary hamaly.