https://papers.ai-explain.org/ Papers and plain-language articles by Fan Huang on human–AI alignment and the biases and limitations of large language models. en https://papers.ai-explain.org/blog/ai-agents-civilization-vi/ https://papers.ai-explain.org/blog/ai-agents-civilization-vi/ Tue, 27 Oct 2026 00:00:00 GMT Article A primer on how AI agents can play a strategy game like Civilization VI: how they learn strategies, put them to use and invent new ones, what happened when frontier models played full games, and what still stands in the way. https://papers.ai-explain.org/blog/llm-belief-atlas-explained/ https://papers.ai-explain.org/blog/llm-belief-atlas-explained/ Tue, 27 Oct 2026 00:00:00 GMT Article A plain-language guide to the LLM Belief Atlas, and to why a model’s stance is not a single number. https://papers.ai-explain.org/papers/2026-001/ https://papers.ai-explain.org/papers/2026-001/ Mon, 26 Oct 2026 00:00:00 GMT Paper What a language model appears to believe about a proposition is not a scalar but a signal that depends on how it is elicited and read: forcing a choice can fabricate a value, option-logprob scoring carries order bias, and sycophancy makes…