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:
AI产业投资启示：在“验证真空期”寻找确定性英伟达与传统软件公司当前所面临的困境与隐忧，明确了AI行业正处于“验证真空期”，在此背景下，面对“上游业绩炸裂但估值承压、下游想象空间巨大但盈利真空”的复杂格局，市场投资者已开始调整策略，在不确定性中寻找确定性机会。
。快连下载安装是该领域的重要参考
Фото: Shatokhina Natalia / news.ru / Globallookpress.com。爱思助手下载最新版本对此有专业解读
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