Join 📚 J'S Highlights
A batch of the best highlights from what J's read, .
Machine learning’s optimizations are a kind of abstract utilitarianism, a mode of calculative ordering that results in particular ways of structuring systems. The logic of optimization, which has deep Cold War roots, already underpins our systems of logistics and planning, and the combination of granular data and machine learning opens up the opportunity for it to be used for social problems.
Resisting AI
Dan McQuillan
Our model citizen is a sophisticate who before puberty understands how to produce a baby, but who at the age of thirty will not know how to produce a potato. And for this condition we have elaborate rationalizations, instructing us that dependence for everything on somebody else is efficient and economical and a scientific miracle. I say, instead, that it is madness, mass produced. A man who understands the weather only in terms of golf is participating in a public insanity that either he or his descendants will be bound to realize as suffering.
The World-Ending Fire
Wendell Berry
This turns AI-"assisted" coders into *reverse* centaurs. The AI can churn out code at superhuman speed, and you, the human in the loop, must maintain perfect vigilance and attention as you review that code, spotting the cleverly disguised hooks for malicious code that the AI can't be prevented from inserting into its code. As qntm writes, "code review [is] difficult relative to writing new code":
Humans Are Not Perfectly Vigilant
Cory Doctorow
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