Import AI 456: recursive self-improvement and economic growth, 'radical optionality' in AI regulation, and neural computers
Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
What happened
The Institute for Law & AI proposes “radical optionality” in regulation: governments should avoid overregulating in the short term while building institutional tools in advance, including information gathering, whistleblower protections, and evaluation audits. A paper from Meta and KAIST proposes the Neural Computer, unifying computation, memory, and I/O in a learned runtime state.
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