Оказавшиеся в Дубае российские звезды рассказали об обстановке в городе14:52
A small, trusted kernel: a few thousand lines of code that check every step of every proof mechanically. Everything else (the AI, the automation, the human guidance) is outside the trust boundary. Independent reimplementations of that kernel, in different languages (Lean, Rust), serve as cross-checks. You do not need to trust a complex AI or solver; you verify the proof independently with a kernel small enough to audit completely. The verification layer must be separate from the AI that generates the code. In a world where AI writes critical software, the verifier is the last line of defense. If the same vendor provides both the AI and the verification, there is a conflict of interest. Independent verification is not a philosophical preference. It is a security architecture requirement. The platform must be open source and controlled by no single vendor.
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Desktop and laptop use cases demand high single threaded performance across a large variety of workloads. Creating CPU cores to meet those demands is no easy task. AMD and Intel traditionally dominated this high performance segment using high clocked, high throughput cores with large out-of-order engines to absorb latency. Arm traditionally optimized for low power and low area, and not necessarily maximum performance. Over the years though, Arm steadily built more complex cores and looked for opportunities to expand into higher performance segments. Matching the best from Intel and AMD must have been a distant dream in 2012, when Arm launched their first 64-bit core, the Cortex A57. Today, that dream is a reality.。Line官方版本下载对此有专业解读
36氪获悉，3月2日，阿里巴巴集团内部将AI的总称和核心品牌统一为千问，千问大模型（Qwen）涵盖基础大模型和专业领域模型，千问App是阿里巴巴在C端的旗舰AI应用。据悉，此举是为了避免之前千问、通义千问、Qwen等多个名称导致的混淆问题，统一名称之后，阿里巴巴大模型品牌中文为“千问大模型”，英文为“Qwen”，“通义实验室”为阿里巴巴集团旗下AI机构的组织名称。