OpenAI 预览 Private Safety Processing:在 Zero Data Retention 下加强安全OpenAI Previews Private Safety Processing for Zero Data Retention
OpenAI Codex & ChatGPT 团队的 Thibault Sottiaux 宣布预览 Private Safety Processing。该功能旨在让客户在享受前沿智能的同时,继续使用 Zero Data Retention,同时提升安全防护。内容留在客户控制的基础设施上,自动化系统仅返回有限安全信号,不向 OpenAI 员工暴露底层 prompt 或回复。同时正在开发客户控制密钥加密的 OpenAI 托管选项,计划 9 月开始推出。Sam Altman 也发推支持企业隐私。
Thibault Sottiaux of OpenAI Codex & ChatGPT previewed Private Safety Processing, designed to maintain Zero Data Retention while strengthening safeguards. Content stays on customer-controlled infrastructure; automated systems return limited safety signals without exposing prompts or responses to OpenAI employees. An OpenAI-hosted option with customer-controlled keys is in testing and planned for September rollout. Sam Altman reinforced support for business privacy.
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Google 大学学生计划全球回归:更高限额与学生专属功能Google University Student Plans Return Globally
Google VP Josh Woodward 宣布大学学生计划回归并扩展至全球 140 多个国家。学生可获得更高限额、更多存储,以及专属学生中心、Notebook、Flow 等新功能。立即注册即可享受。
Google VP Josh Woodward announced the return of University student plans, now available in over 140 countries. Students get higher limits, more storage, a dedicated student hub, Notebook, Flow, and more. Sign-ups are open immediately.
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Aaron Levie:AI 时代专家仍占上风,技能差异将被放大Aaron Levie: Experts Still Hold the Upper Hand in the AI Era
Box CEO Aaron Levie 指出,AI 让任何人更容易入门编码、法律、研究等工作,但判断力、纠正方向、审查输出以及“什么是好”的感觉仍需要深厚领域技能。AI 会加速技能提升,但也会放大专家与普通人的差距。结论:不要放弃成为某领域的专家。
Box CEO Aaron Levie argues that while AI makes it 10x easier to start any task, judgment in directing agents, course-correcting, reviewing output, and knowing what “good” looks like still requires deep domain skill. AI accelerates skill-building but exacerbates differences because experts gain far more leverage. Net: don’t give up on expertise.
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Thariq:软件工厂的承诺与现实Thariq on the Promise and Reality of the Software Factory
Anthropic Claude Code 的 Thariq 指出,软件创造一直极其不可靠——项目延期、超预算、错过用户需求。SMB 几乎无法获得优质定制软件。AI “软件工厂”的承诺是改变这一点,但核心业务非软件的公司仍需要可靠可预测的流程;而构建全新软件产品将继续是不可靠却高回报的冒险。
Anthropic Claude Code’s Thariq notes that software creation has always been unreliable—late, over budget, and missing user needs. SMBs could rarely get good custom software. The “software factory” promise aims to change that, yet non-software companies still need reliable processes, while building net-new products remains risky but potentially highly profitable.
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