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:
It's been designed by Notion, that could be a Google space different that helps groups craft higher ideas and collaborate effectively.
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What follows is a proof of concept: it's not a finished standard, not a production-ready library, not even necessarily a concrete proposal for something new, but a starting point for discussion that demonstrates the problems with Web streams aren't inherent to streaming itself; they're consequences of specific design choices that could be made differently. Whether this exact API is the right answer is less important than whether it sparks a productive conversation about what we actually need from a streaming primitive.。safew官方版本下载对此有专业解读
这是 2024 年的年度 iPhone 应用，也是让普通人能轻松驾驭 Log 格式视频的桥梁。以前我们拍视频，要么用原生相机，效果平淡如水太普通，要么用 Blackmagic Cam 这样的专业软件，但满屏的参数又太复杂，Kino 的天才之处在于「即时调色」，调用了专业视频格式，同时内置了许多大师级的色彩预设，一键榨干 iPhone 的视频性能。。关于这个话题，雷电模拟器官方版本下载提供了深入分析
Like other prediction markets, Kalshi lets users make trades based on a variety of different subjects and events. For example, you could participate in a market focused on the results of a basketball game, or something more unusual, like who'll win the current season of Survivor. Despite resembling gambling, online predictive markets aren't currently regulated by state gambling laws, and instead classify bets as a type of futures contract, placing them under the purview of the CFTC. That hasn't stopped states from trying to regulate prediction markets anyway. For example, Nevada sued Kalshi for operating a sports gambling market without a permit earlier in February.