Archives

2026 / 09

Audit coding agent data flows before login with canary repositories, auth-state diffs, filesystem traces, egress capture, and deletion evidence.
用显式断点、九类失效原因、Usage 证据和包含写入费的成本模型,审计 GPT-6 Prompt 缓存。
Audit GPT-6 prompt caching with explicit breakpoints, nine cache-miss reasons, usage evidence, and a cost model that includes cache writes.
Meta Rebalancer 展示了怎样用稳定合同连接业务策略、数学表达、求解器和调试工具。
Meta Rebalancer shows how assignment systems improve when policy, expression, solving, and debugging share a stable contract.
AI 数学成果需要分别通过正确性、重要性与公开传播三道门,并明确保留最终决策责任。
AI math results need separate gates for correctness, significance, and public communication, with decision authority kept explicit.
可信的 Agent 机构记忆需要把每条可行动主张与来源、有效期、依赖关系和失效条件绑定。
AI agent memory becomes trustworthy when every actionable claim keeps its source, validity, dependencies, and invalidation conditions.
补丁半衰期把重写争论变成可复算决策:记录同类故障复发时间、修补成本、迁移成本,以及验证和回退能力。
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