Meta signs a multimillion dollar AI licensing deal with News Corp

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Григорий Лукьяновнаучный сотрудник Института востоковедения РАН

На Украине раскритиковали политику Зеленского словами «ведем себя, как будто мы США»02:28

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Президент постсоветской страны постановил установить пожизненный срок за педофилию08:49

评估逻辑:基础外挂知识库(L2)通常只能做字面相似度匹配,一旦涉及财务数据的计算或逻辑推演(如“帮我算一下这只基金跨越牛熊周期的超额收益”),极易出现逻辑断层或事实偏移。

霍尔木兹海峡危机拉近

I’ve spent the last six months working on a startup, building agent prototypes for one of the largest consumer packaged goods companies in the world. As part of that work, our team relied on off-the-shelf voice agent platforms to help the company operate more effectively. Though I can’t go into the business details, the technical takeaway was clear: voice agents are powerful, and there are brilliant off-the-shelf abstractions like Vapi and ElevenLabs that make spinning up voice agents a breeze. But: these abstractions also hide a surprising amount of complexity.