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3月5日消息，据报道，当地时间4日，微软、谷歌、OpenAI、亚马逊、Meta、xAI和甲骨文这七家公司代表在美国白宫签署相关文件，美国总统特朗普表示，不少美国民众担忧数据中心会推高电力需求，可能导致电费上涨，有了这份文件，问题将得到解决。根据国际能源署此前的预测，到2030年，全球数据中心的电力需求将增长一倍以上，达到约945太瓦时。有报道指出，由于需求激增，美国雄心勃勃的人工智能产业扩张计划可能会受到电力基础设施瓶颈的严重阻碍，包括涡轮机短缺、电网扩张缓慢等问题。，更多细节参见爱思助手下载最新版本
We also ran the full dataset of 263 URLs (254 phishing, 9 confirmed legitimate) through Muninn's automatic scan. This is the scan that runs on every page you visit without any action on your part. On its own, the automatic scan correctly identified 238 of the 254 phishing sites and only incorrectly flagged 6 legitimate pages.
Consider an example. An AI rewrites a TLS library. The code passes every test. But the specification requires constant-time execution: no branch may depend on secret key material, no memory access pattern may leak information. The AI’s implementation contains a subtle conditional that varies with key bits, a timing side-channel invisible to testing, invisible to code review. A formal proof of constant-time behavior catches it instantly. Without the proof, that vulnerability ships to production. Proving such low-level properties requires verification at the right level of abstraction, which is why the platform must support specialized sublanguages for reasoning about timing, memory layout, and other hardware-level concerns.