问 HN：大型语言模型（LLM）在战争中将如何应用？
1 分•作者: sirnicolaz•6 个月前
我最近在 HN 论坛上提出了同样的问题，但却被神秘地踩了。这个问题对我来说仍然存在：关于 Anthropic 和国防部（DOW）之间讨论采用 LLM 技术用于战争的说法很多。具体来说，是用于“完全自主武器和大规模国内监视”。有人知道这两个目标是如何实现的吗？在我看来，LLM 似乎不是合适的工具。自主武器需要更快、更可靠和更具确定性的 AI。LLM 也许更适合大规模监视，但我真的不确定它们将如何处理海量数据和有限的上下文窗口（除非它们使用数据本身进行训练）。RAG 可能会缓解这个问题。有人有什么想法吗？
查看原文
I have recently asked the same question in a HN thread, which was mysteriously downvoted. The question remains to me: there is a lot of talk between Anthropic and the DOW about adopting LLM technology for warfare. Specifically, for "fully autonomous weapons and mass domestic surveillance". Does anyone understand how these two goals can be achieved? LLMs don't seem to me the right tool for this. Autonomous weapons would require a much faster and much more reliable and deterministic AI. LLMs might be a better use for mass surveillance, but I am not really sure how they would cope with the massive amount of data and the limited context window (unless they use the data itself for training). RAGs might only mitigate the problem. Does anyone have some ideas?