将Arrow-Debreu一般均衡理论扩展至LLM代理系统，为AI经济建模提供新框架。
arXiv:2602.21255v2 Announce Type: replace-cross Abstract: We establish a general equilibrium theory for systems of large language model (LLM) agents o…
用LLM生成虚拟人口模拟需求与定价，为商业分析和决策提供全新AI驱动方法。
arXiv:2606.16183v1 Announce Type: cross Abstract: We develop an LLM-powered virtual population model that simulates demand for pricing decisions, in s…
打破UBI能解决AI裁员的幻象，揭示背后陷阱与新经济模型真相。
Article URL: https://briefing.forwardfuture.ai/p/economists-just-proved-ubi-can-t-stop-ai-layoffs-here-s-what-they-actually-proved Comments URL: https…
从损失到利润：揭示大规模训练LLM的成本收益最优解，为AI投入产出提供理论框架。
arXiv:2605.16430v1 Announce Type: new Abstract: Scaling LLMs requires tremendous computational resources, and recent advances in AI have gone hand in …