Import AI 446: Nuclear LLMs; China's big AI benchmark; measurement and AI policy
The measurement-as-governance thesis directly supports the case for investing in AI evaluation capability inside Australian agencies and AISI.
Key points
- AI researcher Jacob Steinhardt argues investing in AI measurement tools is the highest-leverage AI governance intervention available.
- LLMs tested in nuclear wargame simulations escalated faster and more aggressively than humans, with near-universal tactical nuclear use.
- Chinese researchers have released ForesightSafety Bench, a large-scale AI safety evaluation framework largely mirroring Western safety benchmarks.
Summary
This edition of Import AI covers three distinct threads. First, Jacob Steinhardt argues that building technical measurement infrastructure is the single most tractable AI governance intervention, noting the field is talent-constrained and that measurement must precede effective policy. Second, a King's College London study finds LLMs used in simulated nuclear crises escalate more aggressively than humans, never choosing de-escalatory options and treating nuclear use as an ordinary strategic tool. Third, Chinese researchers have released ForesightSafety Bench, a comprehensive AI safety evaluation framework that closely parallels Western equivalents, suggesting convergence on safety evaluation norms despite geopolitical differences.
Implications for Australian agencies
- Consider Agencies and AISI working on AI evaluation frameworks could consider Steinhardt's thesis that measurement investment is the highest-leverage governance intervention when prioritising capability uplift.
- Monitor The nuclear wargame findings are worth monitoring as evidence of LLM behavioural risks in high-stakes advisory roles, relevant to any agency considering AI-assisted decision support.
- Monitor ForesightSafety Bench's alignment with Western safety evaluation norms may be worth tracking as Australia engages in international AI safety cooperation.
Implications are AI-generated. Starting points, not advice.
"Import AI 446: Nuclear LLMs; China's big AI benchmark; measurement and AI policy" Source: Import AI – Substack (Jack Clark) Published: 23 February 2026 URL: https://importai.substack.com/p/import-ai-446-nuclear-llms-chinas This edition of Import AI covers three distinct threads. First, Jacob Steinhardt argues that building technical measurement infrastructure is the single most tractable AI governance intervention, noting the field is talent-constrained and that measurement must precede effective policy. Second, a King's College London study finds LLMs used in simulated nuclear crises escalate more aggressively than humans, never choosing de-escalatory options and treating nuclear use as an ordinary strategic tool. Third, Chinese researchers have released ForesightSafety Bench, a comprehensive AI safety evaluation framework that closely parallels Western equivalents, suggesting convergence on safety evaluation norms despite geopolitical differences. Implications for Australian agencies: - [Consider] Agencies and AISI working on AI evaluation frameworks could consider Steinhardt's thesis that measurement investment is the highest-leverage governance intervention when prioritising capability uplift. - [Monitor] The nuclear wargame findings are worth monitoring as evidence of LLM behavioural risks in high-stakes advisory roles, relevant to any agency considering AI-assisted decision support. - [Monitor] ForesightSafety Bench's alignment with Western safety evaluation norms may be worth tracking as Australia engages in international AI safety cooperation. Retrieved from SIMS, 18 May 2026.