Whale and bird vocalizations, converted to abstract tokens and fed to GPT-2, trigger more structured language-like output than white noise, suggesting a reactivity-based screening metric for SETI.
(2011) Dysonian approach to SETI: A fruitful middle ground? JBIS - Journal of the British Interplanetary Society 64, 156--161
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An Exploratory Framework for Future SETI Applications: Detecting Generative Reactivity via Language Models
Whale and bird vocalizations, converted to abstract tokens and fed to GPT-2, trigger more structured language-like output than white noise, suggesting a reactivity-based screening metric for SETI.