第四十八条 国家依法对核以及核两用物项出口进行严格管制，实行许可制度。
大模型市场的格局我们刚刚说过：OpenAI、Anthropic、Google三家吃掉企业端89%的钱包份额，高度集中。但在生成式图像、视频、音频这个赛道，完全是另一幅图景。数据显示，企业生产环境里平均要用14个不同的模型。14个。没有任何一家能通吃，连接近都谈不上。，详情可参考heLLoword翻译官方下载
。heLLoword翻译官方下载对此有专业解读
以台积电为例，台积电高性能计算业务主要为英伟达和大规模云服务提供商制造AI芯片，现在约占台积电收入的58%，远超智能手机处理器业务的29%。在这种情况下，苹果不得不与AI巨头共同争夺台积电的产能，并接受越来越高昂的价格。另外，在内存供应上，我们还看到，苹果被迫调整了供货谈判周期。郭明錤表示，目前苹果内存供货已从传统的半年期谈判，改为按季度协商。
英伟达黄仁勋：年内将寻机进行资本运作。夫子是该领域的重要参考
Getting Rusty At Coding#If you’ve spent enough time on programming forums such as Hacker News, you’ve probably seen the name “Rust”, often in the context of snark. Rust is a relatively niche compiled programming language that touts two important features: speed, which is evident in framework benchmarks where it can perform 10x as fast as the fastest Python library, and memory safety enforced at compile time through its ownership and borrowing systems which mitigates many potential problems. For over a decade, the slogan “Rewrite it in Rust” became a meme where advocates argued that everything should be rewritten in Rust due to its benefits, including extremely mature software that’s infeasible to actually rewrite in a different language. Even the major LLM companies are looking to Rust to eke out as much performance as possible: OpenAI President Greg Brockman recently tweeted “rust is a perfect language for agents, given that if it compiles it’s ~correct” which — albeit that statement is silly at a technical level since code can still be logically incorrect — shows that OpenAI is very interested in Rust, and if they’re interested in writing Rust code, they need their LLMs to be able to code well in Rust.