36氪获悉，豆包手机发布关于恶意炒作“豆包手机助手漏洞”黑公关行为的严正声明，其中提到，字节跳动高度重视用户信息安全，设有公开的安全漏洞响应平台，为漏洞报告者提供丰厚奖励。截至目前，我方并未收到豆包手机助手漏洞的详细报告，也未接到网络安全相关监管部门的通报。根据国家《网络产品安全漏洞管理规定》，违规公开漏洞已涉嫌违法。网传的漏洞演示视频，需要用户主动要求AI查看恶意邮件或恶意短信，才会触发攻击。如果没有用户指令，AI并不会去自动执行高风险操作。针对视频演示的攻击方法，豆包手机助手已升级了相应的防护措施。
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It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.，推荐阅读搜狗输入法下载获取更多信息
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