AI Agent Config Security Is Supply Chain Security
AI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
AI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyAI agent approval prompts need scoped authority, risk lanes, audit logs, expiry, and revocation so humans approve concrete actions, not fluent requests.
AI & TechnologyLong-running AI agents need durable channels: workflow IDs, event logs, resumable streams, typed signals, safe cancellation, and user-visible checkpoints.
AI & TechnologyAgents.txt is not access control. Use robots.txt, llms.txt, bot verification, logs, and server-side policy to manage AI crawlers without false confidence.
AI & TechnologyAI code review needs independent agents that preserve dissent, validate findings, route uncertainty to humans, and re-review fixes before teams merge PRs.
AI & TechnologyAI agent monitoring should catch decisive errors during a run, not after failure. Runtime intervention turns traces, policies, and alerts into safe pauses.
AI & TechnologyAgent-readable claim files let papers expose claims, scope limits, definitions, and figure commands so research agents cite, test, and reuse them safely.
AI & TechnologyAI agent skills can change behavior while pass rates stay flat. Behavioral audits compare traces, declared capabilities, and side effects before trust.
AI & TechnologyExploration checkpoints let AI agents prove what they discovered before acting, reducing premature exploitation, brittle plans, and generic world models.
AI & TechnologyRust's draft LLM usage policy allows AI for learning, review, and experiments while banning generated comments, docs, and human-review shortcuts in Rust.
AI & TechnologyCodex hooks now span twelve lifecycle events behind hash-based trust review. The config shapes, blocking mechanics, and control system the agent harness needs.
AI & TechnologyGDS guidance on AI vulnerability discovery gets open-source security right: hide less by default, fix faster, and make exceptions explicit with evidence.
AI & TechnologyTechnical writing published at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.