PERFORMANCE Signal 124
Audrey Tang argues the deeper AI threat is humans adapting to machines, not machines imitating humans
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Taiwan's cyber-ambassador Audrey Tang writes that the real danger of AI is not synthetic fluency but the way digital systems train people to optimize themselves for machine legibility.
Tang draws a line between tools that extend human capacity and systems that train people to behave like ranking-system components. For engineers building AI products, the essay frames the design question as whether a tool deepens mutual comprehension or rewards people for performing like machines. The piece carries one feed's framing only, so its claims are not independently corroborated here.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Tang distinguishes between expression, which AI can assist, and obligation, which must remain human.
She argues AI works best as a temporary prosthesis for mutual intelligibility, not as a replacement self.
The essay warns against agentic AI that gradually becomes a proxy for human presence and commitment.
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