Michael left Uber in 2017, but made some news of his own along the way. Three years before his departure, BuzzFeed reported that he had “outlined the notion of spending ‘a million dollars’” to hire four top opposition researchers and four journalists to look into the personal lives of journalists who covered Uber and its executives. That same year, while in Seoul, Michael and several Uber executives (including Kalanick) visited a “hostess-escort karaoke bar” where female hostesses were presented to the group, according to accounts later reported to Uber’s human resources department. Four men selected hostesses and remained at the venue to sing karaoke. At least one female Uber manager in the group said the situation made her uncomfortable and filed a complaint with HR roughly a year later. The story of the HR complaint surfaced three months before Michael left Uber. An investigation by Business Insider reported that Michael resigned in the wake of U.S. Attorney General Eric Holder’s investigation into Uber’s workplace—which prompted the company to implement dozens of policy and leadership changes. (A spokesperson for the Department of War declined to comment on Michael’s conduct.)
Мерц резко сменил риторику во время встречи в Китае09:25
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36氪获悉,日前,AI运动科技公司“致敬未知”宣布完成超亿元Pre-A轮融资。本轮融资由创维投资、博裕创投、联想创投、广发乾和等多家机构联合投资,创瓴资本担任本轮独家财务顾问。本次募集资金将主要用于全球化市场拓展、新产品研发及核心技术创新。
风险开始成片兑现:同源底座把保险的大数定律打穿传统保险依赖大数定律,风险单位彼此独立。你家着火不影响我家,某家工厂停产也不会让全球同一时刻一起停产。AI的危险在于把独立性改写成同源性,越来越多的企业依赖同一批基础模型、同一套API、同一云与同一工具链。风险开始像同一场事故,在不同公司、不同流程中被复制粘贴。险企担心的不是某一次聊天机器人犯错,而是一类错误在商业环境里被大规模复用后,带来成片索赔与不可控的责任敞口,于是排除条款开始成为行业趋势,甚至走向标准化。保险业语言里这叫同源聚合。这个触发源往往不是某个公司操作失误,而是更底层的东西,包括模型逻辑缺陷、训练数据污染、关键接口被注入、代理系统在相似指令下出现系统性越权等。一旦同源问题通过API分发扩散,下游成千上万应用可能在同一时间段出现相似失效。理赔就不再是点状事件,而是面状爆发。
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