Десятки депутатов Верховной Рады отказались прийти на заседание из-за угроз

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陈怡:黄金在某种程度上确实已被“金融化”。这里的“金融化”意指黄金已深度融入全球宏观金融体系。自2025年以来,市场围绕美元地位可能削弱、人民币国际化等中长期逻辑形成一致预期,投机资金在此叙事框架下集中做多黄金,并通过杠杆在短期内迅速推高金价,使黄金价格提前达到情绪高点。这也是为什么我们在2026年一季度看到黄金出现阶段性的情绪峰值。

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We've moved past the era of "ChatGPT wrappers" (thank God), but the industry still treats autonomous agents like they're just chatbots with API access. They're not. When you give an AI system the ability to take actions without human confirmation, you're crossing a fundamental threshold. You're not building a helpful assistant anymore — you're building something closer to an employee. And that changes everything about how we need to engineer these systems.,更多细节参见whatsapp网页版登陆@OFTLOL

编程的情况完全相同。人工智能产出(日益减少但仍有)低劣的代码。我们都知道这一点。我们都在设法规避这个局限。我们使用人工智能,尽管它代码质量不佳。

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but there’s a problem with the classical formulation. the derivative takes a regex and a character, so to build a state machine you need to compute it for every possible character to get all transitions from a given state. sure, you can compress the number of characters into equivalence classes before, but you still have to compute for each equivalence class - and many of them end up leading to the same state anyway. for example, the regex abc (below) cares about a, b, c, and “everything else”, which brings us down from 65536 to 4 in UTF-16, but for the first node (abc) even b and c behave the same as “everything else”. so what are we computing these for? in other words, there is something left to improve here.

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