|Brockman I 166
Brain/computers/Gershenfeld: (…) both brains and computer chips are hard to understand by watching their inner workings; they’re easily interpreted only by observing their external interfaces. We come to trust (or not) brains and computer chips alike based on experience that tests them rather than on explanations for how they work.
Brockman I 167
What’s interesting about amino acids is that they’re not interesting. They have attributes that are typical but not unusual, such as attracting or repelling water. But just twenty types of them are enough to make you. In the same way, twenty or so types of digital-material part types - conducting, insulating, rigid, flexible, magnetic, etc. - are enough to assemble the range of functions that go into making modern technologies like robots and computers.
Gershenfeld, Neil „Scaling”, in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. The note [Author1]Vs[Author2] or [Author]Vs[term] is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019