Mike Frank: AI nails reversible computing theory, but the engineering is brutally hard
MikePFrank · x · 2026-09-07
In a thread with lusichu, MikePFrank argues that the pure CS side of reversible computing isn't hard and AIs handle it fine — the engineering is what's difficult.
- Real progress requires deep EE expertise spanning analog/RF/mixed-signal VLSI, microwave engineering, nanoelectronic device modeling, materials science, MEMS, superconductors, and even microelectronics packaging.
- It also demands the creativity to design things never done before.
- Context: lusichu observes AI's capability frontier is jagged — superhuman in math and coding, limited in writing and poetry, roughly at the level of the best humans in philosophy and debate — and asks how much better than humans a first-round baby AGI would need to be at reversible computing to qualify as AGI.
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