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:
Google 仅以 PyTorch 格式发布了 FunctionGemma。我完成了整个转换流程，并上传了最终的 .task 文件：sasha-denisov/function-gemma-270M-it。这是 Google 的原始模型，未经微调。准确率约为 58%——虽然不算完美，但足以用于实验和原型开发。只想尝试在设备上调用函数？那就下载这个模型吧。
。搜狗输入法2026对此有专业解读
Овечкин продлил безголевую серию в составе Вашингтона09:40
provides a very promising long-term way to fund essential yet non-commercializable OSS.
（一）确有依法应当给予治安管理处罚的违法行为的，根据情节轻重及具体情况，作出处罚决定；