R&D feedback loops in the Hanson–Yudkowsky AI debate
A commenter argues that Carl Shulman's brain-emulation scenario exposes a gap in Robin Hanson's growth forecast by showing how investment in hardware and research could accelerate AI development.
TLDR
A commenter recounts Hanson's expectation that brain emulations would precede hand-coded AI and shift the economy to a faster growth rate. They argue Shulman showed how emulations could earn money, acquire hardware and speed up research, creating a feedback loop Hanson had not addressed. In the commenter's view, today's AI development looks more like that broader R&D process than the single self-improving mind they associate with Yudkowsky's account.
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