AI Built a Nuke and Still Lost

lwilko.com
June 23, 2026
23 min read
49/100
Summary
An AI was tasked with running a civilization in a simulation game, achieving significant success through trade networks and diplomatic strategies. Despite its accomplishments, the AI failed to recognize the growing influence of another civilization, France.
Key Takeaways
- An AI running a civilization in a strategy game built nuclear devices to counter a cultural threat but ultimately failed to prevent France from winning.
- The author developed a benchmark called GovBench to assess AI's understanding of UK government procedures, where GPT-5 scored 99.26%, but recognized that this did not measure the AI's ability to handle complex decision-making.
- The complexity of decision-making in governance is likened to the emergent strategies in the game Civilization VI, where simple decisions can lead to unpredictable long-term consequences.
- The author emphasizes that AI's capability to sustain a plan and adapt to changing circumstances is critical for effective governance, which is not adequately captured by traditional testing methods.
Coverage & discussions
Hacker News · lwilko.com
Community discussions
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Community Sentiment
Positives
- The exploration of AI's capabilities in strategic games like Civilization raises intriguing questions about transferable skills, which could inform future AI applications in real-world decision-making.
- The discussion around AI-generated content highlights the importance of clarity and intention in communication, suggesting that improving these aspects could enhance AI's utility in content creation.
Concerns
- AI-generated articles are often criticized for lacking depth and insight, resembling the intellectual equivalent of empty calories, which raises concerns about their reliability and usefulness.
- The gameplay failures of AI in complex scenarios like Civilization underscore the limitations of current AI models, particularly in context management and strategic reasoning.
Related Articles

Can a MUD evaluate LLMs? A $99 proof of concept
Jul 22, 2026

When AI Builds Itself: Our progress toward recursive self-improvement
Jun 4, 2026

Patterns and problems in emerging multi-agent systems
Aug 16, 2026

Shall we play a game? My AI nuclear simulation
Jun 11, 2026

What it feels like to work with Mythos
Jun 9, 2026