Chris DiBona (What to think about machines that think)

Chris DiBona presents a whimsical take on the limitations of biological intelligence and why we shouldn’t be overly concerned about the potential rise of biological intelligences, as illustrated by the 2UR-NG entry in the DeanGhemawat Conversational (DGC) artificial intelligence test.

DiBona humorously emphasizes the drawbacks of biological intelligence, highlighting aspects like the slow speed of thought, the resource-intensive nature of biological processes, and the complexity of keeping biological organisms alive and functional. He touches on the messiness of biological reproduction and the challenges associated with maintaining a stable environment for these organisms.

Furthermore, DiBona argues that the motivations of biological intelligences are primarily focused on reproduction rather than computation or learning, suggesting that they would view machine-based intelligences as tools for advancing their reproduction.

In a tongue-in-cheek manner, DiBona concludes by proposing that if humans were to exhibit machinelike intelligence, they should be treated like machines, emphasizing the potential for coexistence and collaboration rather than fear of domination by biological intelligences.

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