Training a frontier AI model in 2026 requires tens of thousands of GPUs working in tight synchronization for months. Yet the factor that most often li
"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。
An OpenAI reasoning model disproved an 80-year-old conjecture in discrete geometry using tools from algebraic number theory. Here is what happened, wh
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