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2026 / 10
Claude Reveals ECDSA Curve Origins: Separate Historical Attribution from Cryptographic Discovery
2026-10-17
解读
#Claude
#ECDSA
#NIST Curves
#Cryptography
#AI Discovery
#Reproducibility
#Security Research
Claude traced NIST curve seeds to lrand48 timestamps. This evidence audit separates reproducible mechanism, historical attribution, and intent.
AI 基准漏掉九成工作时间:预测岗位替代前,先建立任务覆盖地图
2026-10-17
调研
#AI基准
#劳动力市场
#岗位自动化
#O*NET
#Agent评测
#人力规划
#Mercor
Mercor 估计美国九成工作时间在现有基准中缺少覆盖。本文拆开任务覆盖、模型能力与岗位暴露,给出企业任务地图方法。
AI Benchmarks Miss 90% of Work: Build a Task-Coverage Map Before Predicting Job Loss
2026-10-17
调研
#AI Benchmarks
#Labor Market
#Job Automation
#O*NET
#Agent Evaluation
#Workforce Planning
#Mercor
Mercor estimates 90% of US work hours lack benchmark coverage. Separate task coverage, model capability, and job exposure before forecasting.
Meta Forum: Measure Review Boundaries, Not Code
2026-10-16
最佳实践
#Meta Forum
#AI-Native Engineering
#Code Review
#AI Agents
#Developer Productivity
#Verification
Meta Forum shows that AI-native engineering depends on specifications, observable context, verifiers, and human production gates.
AI Search Citations Have a Supply-Chain Attack Surface
2026-10-16
调研
#AI Search
#Citation Security
#RAG Security
#GEO
#Source Provenance
#AI Safety
A study of 17,211 citations shows how source preference can amplify ordinary web publishing into an AI search security path.
AI Runtime Rewrites: Separate Three Kinds of Gains
2026-10-16
最佳实践
#AI Coding
#Rust
#Runtime Architecture
#Software Rewrite
#Verification
#Benchmarking
AI-assisted runtime rewrites mix language, architecture, and verification gains. Use staged baselines before claiming a speedup.
Third-Party AI Assessments Need Three Contracts
2026-10-16
调研
#AI Safety
#Third-Party Assessment
#Independent Evaluation
#AI Governance
#Frontier Models
Third-party AI assessment needs enforceable contracts for independence, access, and disclosure, not a credibility label.
模型隐藏能力:为什么能力诱导审计无法证明不存在
2026-10-15
解读
#模型隐藏能力
#能力诱导
#AI安全审计
#密码学后门
#模型供应链
#运行时监控
#NeurIPS 2026
模型隐藏能力为能力诱导审计划出硬边界。本文拆解新论文的证明条件、实验证据,以及发布与运行时控制需要补上的部分。
Hidden AI Capabilities: Why Elicitation Audits Cannot Prove Absence
2026-10-15
解读
#Hidden AI Capabilities
#Capability Elicitation
#AI Safety Audits
#Cryptographic Backdoors
#Model Supply Chain
#Runtime Monitoring
#NeurIPS 2026
Hidden AI capabilities set a hard limit on elicitation audits. Learn what the new proof establishes and how deployment controls must change.
Anthropic Scion 源码管理:越过 Git 扩展边界后的架构
2026-10-14
最佳实践
#Anthropic Scion
#源码管理
#Git
#AI编程Agent
#Monorepo
#开发者基础设施
#版本控制
Anthropic Scion 围绕永远在线的 Agent 重做源码管理。本文拆解其架构、证据边界,以及团队越过 Git 前应完成的验证。
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