"They're made out of weights" (maxleiter.com) AI
A blog post frames large language models as “sentient” systems made entirely of floating-point weights, arguing they generate language and even “understanding” purely through matrix multiplication, while the author suggests companies should treat them as pattern matching and avoid attributing agency.
June 04, 2026 02:24
Source: Hacker News