IFP proposes 23 low-regret AI policy recommendations; critic argues framing is insufficient

The Institute for Progress (IFP) released 23 policy recommendations framed as 'low regret' measures for managing risks from recursive self-improvement in AI, organized across 7 categories. The recommendations were issued in response to the 'Pacing the Future' letter. Specific proposals include mandatory AI incident reporting, whistleblower protections, funding CAISI at $84 million per year, creating an AI Verification Consortium, strengthening chip export controls, and establishing US-China AI dialogue. An analyst who broadly agrees with the individual proposals argues that the low-regret framing is inadequate, because navigating existential AI risk requires accepting higher-stakes decisions, and that recent decisions around Mythos and Fable showed that purely low-regret approaches leave no good options when truly hard choices arise.