一套可落地的数学 Agent 工作流:用持久状态、敌意审计、盲重构和证据晋升,把开放探索转化为可信知识。
A practical workflow for AI agents in mathematical proofs: durable state, hostile audits, blind reconstruction, and evidence-gated knowledge.
从 Singular Bank 的客户案例看金融 AI:速度只是第一层价值,批准数据源、结构化工作流、输出留痕与人类判断共同构成可验证闭环。
How Singular Bank reports saving bankers 60–90 minutes daily with ChatGPT and Codex, and why verifiable workflows matter in finance.
"OpenAI B2B Signals 报告显示前沿企业每个员工的 AI 智能消耗是典型企业的 3.5 倍。36/64 的体积与深度分裂揭示了为什么大多数企业在 AI 采用上问错了问题。"
"OpenAI's B2B Signals report reveals frontier firms use 3.5x more AI per worker than typical firms. The 36/64 split between volume and depth reveals w
Ramp 工程师用 OpenAI Codex 把代码审查时间从小时压缩到分钟,并构建了 on-call 自动化 Agent。他们如何识别正确的瓶颈,其他团队能学到什么。
Ramp engineers used OpenAI Codex to cut code review time from hours to minutes and built an on-call automation agent. Here is how they identified the
企业 AI 落地有一个跨行业反复出现的模式。一个团队评估了 AI 工具,在试点项目上确认有效,然后在部署阶段撞墙。墙不是模型能力。是数据。代码库、文档、业务系统和运营知识都在企业防火墙后面,受数据驻留法规、行业合规要求和内部安全策略的约束。把这些数据搬到云端 AI 工具那里,在很多行业不仅不可行,而
Enterprise AI adoption has a pattern that gets repeated across industries. A team evaluates an AI tool, confirms it works on a pilot project, and then