Aneil Mallavarapu: why machine intelligence will never be conscious

Today Razib talks to Aneil Mallavarapu, a scientist and technology leader based in Austin, Texas, whose career bridges the fields of biochemistry, systems biology, and software engineering. He earned his doctorate in Biochemistry and Cell Biology from the University of California, and has held academic positions at Harvard Medical School, where he contributed to the Department of Systems Biology and developed the "Little b" programming language. Mallavarapu has transitioned from academic research into the tech and venture capital sectors, co-founding ventures such as Precise.ly and DeepDialog, and currently serving as a Managing Partner at Humain Ventures. He remains active in the scientific community through local initiatives like the Austin Science Network.

Most of the conversation centers around Mallavarapu's arguments outlined in his Substack The Case Against Conscious AI - Why AI consciousness is inconsistent with physics. The core of his argument rests on the "Simultaneity Problem" and the "Hard Problem of Physics," which involve non-locality and the memorylessness of artificial intelligence phenomena. Though Mallavarapu believes that artificial intelligence holds great promise, and perhaps even "artificial general intelligence" (AGI) is feasible, he argues that this is a distinct issue from consciousness, which is a property of human minds. Razib also brings up the inverse case: could it be that many organisms that are not particular intelligence, also have consciousness? What does that imply for ethics of practices like eating meat?