AI研究瓶颈转向世界模型？HN热议真实数据收集与实验指导的下一站。
It seems that generating hypotheses is no longer the main problem. The harder problem may be continuously collecting real-world data, building accurat…
用AI代理自动求职，公开LLM账单与真实数据，揭秘效率与成本
Article URL: https://find-best-job.com/en/blog/agent-job-search-real-numbers Comments URL: https://news.ycombinator.com/item?id=49034971 Points: 2 # C…
用真实世界数据复杂性考验大模型数据分析能力，揭示LLM在杂乱数据下的表现与局限
arXiv:2607.06482v1 Announce Type: cross Abstract: Current benchmarks for evaluating Large Language Models (LLMs) in data analysis often fail to reflec…
揭露LLM生产部署的真实成本：不仅有token单价，更有失控循环、测试维护等隐藏开支，用数据说话。
There is an inconvenient truth the artificial intelligence industry prefers to whisper rather than proclaim: the real cost of putting an LLM into prod…
测试时训练首次应用于监督因果学习，破解分布外泛化难题的新范式。
arXiv:2605.30015v1 Announce Type: cross Abstract: Supervised Causal Learning (SCL) has shown promise in causal discovery by framing it as a supervised…