We already know that Donald Trump's name comes up many, many times in the Epstein files, but the biggest story at the moment is the times his name reportedly is missing.
首先，我们需要在项目的 libs.versions.toml 文件里声明 Wire 的依赖版本和库引用。添加以下内容：
。业内人士推荐safew官方版本下载作为进阶阅读
self.seen_urls.add(url)
Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?
I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained: