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:
新思科技CEO Sassine Ghazi透露，顶级制造商的大部分内存用于人工智能基础设施，许多其他产品也需内存，导致其他市场面临短缺，因无剩余容量可用。 Ghazi还称，存储器芯片价格上涨及短缺将持续到2027年。虽然芯片公司正扩大生产规模，但至少需两年才能实现，这也是产能紧张持续的原因之一。，详情可参考同城约会
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More than 70% of HBO Max customers in the US also subscribe to Netflix, according to analysts at Raymond James.，详情可参考heLLoword翻译官方下载
[开源分享] Agent 指挥 Agent，我做了一个让 Claude Code / Codex / Gemini/... 组成"军团"并行干活的工具