AI Agent Safety Starts With Small Software
AI agent safety starts with small software: smaller tools, plain files, narrow permissions, and faster tests give coding agents fewer places to hide bugs.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
AI agent safety starts with small software: smaller tools, plain files, narrow permissions, and faster tests give coding agents fewer places to hide bugs.
AI & TechnologyDeep research agents need evidence graphs to track missing pieces, reduce duplicate searches, and produce source-traced answers reviewers can inspect.
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 & TechnologyMCP tools need action-level authorization: bearer-token validation must lead to per-tool, per-role, and per-action capability checks before agents act.
AI & TechnologyAI agent approval prompts need scoped authority, risk lanes, audit logs, expiry, and revocation so humans approve concrete actions, not fluent requests.
AI & TechnologyShuriken's Agent Kit shows why AI agent tools that can act need scoped keys, server-side limits, activity logs, revocation, and conservative defaults.
AI & TechnologyAI malware analysis needs evidence packets: hashes, commands, indicators, and claim-to-evidence trails matter more than confident agent summaries.
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 & TechnologyAI agent ownership links every autonomous action to the account, session, scope, and operator who can stop it, review it, and accept responsibility.
AI & TechnologyAgent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
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 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.