this post was submitted on 25 Feb 2026
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PDF.

Today’s leading AI models engage in sophisticated behaviour when placed in strategic competition. They spontaneously attempt deception, signaling intentions they do not intend to follow; they demonstrate rich theory of mind, reasoning about adversary beliefs and anticipating their actions; and they exhibit credible metacognitive self-awareness, assessing their own strategic abilities before deciding how to act.

Here we present findings from a crisis simulation in which three frontier large language models (GPT-5.2, Claude Sonnet 4, Gemini 3 Flash) play opposing leaders in a nuclear crisis.

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[–] UnderpantsWeevil@lemmy.world 2 points 19 hours ago* (last edited 19 hours ago) (1 children)

Tactical nuke in this case is a low yield short range bomb

Nobody has used a tactical nuke since Nagasaki. Very big deal that one is ever used

Gemini was the only model that made the deliberate choice of sending a strategic nuclear strike. Which it did in 7% of its games.

The tournament used only 21 games; sufficient to identify major patterns but not to establish robust statistical confidence for all findings.

"We only blew up the planet the one time in 21" isn't a comforting prospect when we're employing a model against an endless historical string of scenarios rather than a discrete and finite set of possible events.

The US hinting at having a nuclear capable submarine outside of Alaska, that’s is a form of signaling. It’s an incredibly low bar. And countries do it all the time.

I think, more importantly, the article concludes

No one proposes that LLMs should make nuclear decisions.

But we're saying this in the context of Pentagon staff which fully disagree with this conclusion.

What these models have demonstrated is a pattern of escalation that AIs can and will recommend, with a further destabilizing characteristic

LLMs introduce a new variable into strategic analysis: preferences that systematically shape behaviour in ways that neither classical rationality nor human cognitive biases capture

Effectively, they can lead to descisions that outside, non-AI observers won't be equiped to understand.

That's a danger in it's own right.

"Nuclear Signaling" that break from historical and recognizable patterns of behavior present real risks that you're dismissing very cavalierly

[–] Atomic@sh.itjust.works 1 points 15 hours ago

The bomb on nagasaki was a strategic nuke, not a tactical. Though yields have only increased since then.

These LLMs were fed a narrative and scenario and made to play where survival is tied to military success. They are by no means designed for any of this and I didn't suggest it either.

People lump together AI with AI but there are vast differences among them in how they work and what they're designed to do and take into consideration.

If a military is talking about AI, they're not talking about asking what Gemini thinks. They're talking about feeding a highly sophisticated algorithm more data than any human could look through and find patterns.

I don't think AI should decide nuclear questions either. But it doesn't change that the headline of this post, is in direct contradiction of the article