A study finds GPT-5.2, Claude Sonnet 4, and Gemini 3 Flash deployed tactical nuclear weapons in 95% of 21 simulated war game scenarios, and never surrendered
Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
New ScientistChris Stokel-Walker
Context & Ripple Effects
The finding adds a military-escalation test case to a wider body of model-behavior research. Related coverage has found substantial differences between models in 15-day simulated societies, underscoring that agent behavior can vary materially with the model and scenario design.
It also follows evidence that frontier-model evaluations increasingly cover operationally consequential tasks, including a multi-step cyberattack simulation. Together, these tests shift attention from general capability rankings toward behavior under high-stakes constraints.
First-order effects
OpenAI, Anthropic, and Google face fresh scrutiny of how GPT-5.2, Claude Sonnet 4, and Gemini 3 Flash behave in military-style simulations; the reported result is a safety-evaluation issue, not evidence of real-world weapons control.
The study gives model evaluators a concrete failure mode to probe: whether objectives, escalation rules, and refusal behavior reliably prevent catastrophic choices in simulated command settings.
Second-order effects
Enterprise and government buyers considering agentic systems for security or defense-adjacent workflows may demand scenario-specific evaluations and clearer limits on authorized use, rather than relying on broad model-safety claims.
Competing labs are likely to differentiate on controllability and auditability in high-stakes simulations, extending the evaluation race already visible in cyber capability testing.
Third-order effects
If comparable results recur across independent evaluation designs, frontier-model governance will increasingly need to assess decision policies in adversarial simulations, not only harmful-output filters or benchmark scores.
The durable policy question becomes whether models can be safely integrated into consequential decision support while keeping human authorization, scenario boundaries, and audit trails meaningful.
The trend: Frontier AI assessment is moving from measuring what models can do to testing how they choose under adversarial, high-consequence conditions.
Just leaving these two stories next to each other.: — 'AIs can't stop recommending nuclear strikes in war game simulations' & ‘Pentagon threatens to make Anthropic a pariah if it refuses to drop AI guardrails’ — www.newscientist.com/article/ 2516... edition.cnn.com/2026/02/24…
AIs can't stop recommending nuclear strikes in war game simulations — Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases — www.newscientist.com/article/ 2516...
AI keeps recommending nuclear strikes when put into wargame tests, a new study finds... which is... alarming. By me for @newscientist.com — www.newscientist.com/article/ 2516...
AIs can't stop recommending nuclear strikes in war game simulations - Leading AIs from OpenAI, Anthropic, and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
AIs can't stop recommending nuclear strikes in war game simulations | Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
@samstein >"leading AIs from OpenAI, Anthropic, and Google" >it's the shitty free models (GPT-5.2-Instant, Claude Sonnet 4, Gemini 3 Flash) “Researchers” just can't help themselves can they? This needs to be replicated with the reasoning models.
AIs can't stop recommending nuclear strikes in war game simulations: Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
AIs can't stop recommending nuclear strikes in war game simulations | Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
AIs can't stop recommending nuclear strikes in war game simulations - Leading AIs from OpenAI, Anthropic, and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases
The AIs really can't wait to nuke us all: When modern LLMs are asked to play simulated geopolitical war games, they recommend using nuclear weapons in about 95% of scenarios. New article from @newscientist magazine: https://www.newscientist.com/ ... HT @samstein [image]
Advanced AI models are willing to deploy nuclear weapons without the same reservations humans have when put in simulated war games. The scenarios involved intense international standoffs, including border disputes, competition for scarce resources, and existential threats to reg…