The Setu vision
The Intent Layer
Machines learned to understand us faster than we learned to reach them. We think BCI is a few years from its ChatGPT moment. This is why, what it will take, and what Setu is building.
The short version · 2 minutes
TL;DR
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I
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The channel
Every computer still waits for a human body to type, tap or speak. That wait is now the slowest part of the system.
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II
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The signals
Intent leaves physical traces from brain to muscle. Laboratories have already decoded handwriting, speech and images from them. EEG is the one sensor everyone could wear.
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III
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The distance
Decoding in a laboratory is not a product. The body is a superb incumbent, so the first wins come from silence, privacy and free hands, not from speed.
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IV
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The learning problem
Hardware sets the ceiling, data is the fuel, and the winner is the system that learns each person fastest. That is why we bet on EEG, on scale, and on building the full stack.
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V
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The source: data and alignment
Text, code and images are compressed products of thought. Neural data is the source. AI labs need it now, as training data and as a faster way to align their models. Those are the first two wedges.
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VI
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The road
BCI reaches the world through two things people will actually wear: silent communication, and brain wellness and recovery. Its ChatGPT moment is a few years away.
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VII
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Agency
None of this is worth building unless it can be switched off. Off by default, on the device, never for advertising, and the user always has the last word.
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