Teacher AI must connect time saved to teaching practice, student behavior, durable learning, and evidence strong enough to guide school decisions.
Browser agent detection now needs three layers: behavioral risk signals, signed identity, and explicit authorization for high-risk actions.
越狱成功率无法说明真实危害。本文解析 Anthropic CJS 四轴评分,并对照 JEF 与 CVSS,建立从攻击成功到组织风险的分层评估方法。
Anthropic's CJS scores AI jailbreak severity across four axes. This guide compares CJS, JEF, and CVSS, then separates severity from risk.
Anthropic 在 Claude 内部发现了一个低容量、可语言化且具有因果作用的 J-space。它能承载没有输出的中间概念,却不能证明 Claude 拥有主观意识。
Anthropic found a small, causally active J-space inside Claude. It carries silent concepts but does not prove subjective consciousness.
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