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Consent and Delegation Boundaries for AI Agents
AI agent consent needs runtime boundaries: scoped delegation, renewed approvals, clear identity, and audit-ready logs.
Browser-Use Agents After the Computer-Use Benchmarks
Browser-use agents look cleaner than desktop agents, but the benchmarks still hide drift, cost, auth, and recovery failure.
Data Agents Need Exploration Budgets, Not SQL Magic
Data Agent Benchmark landed on arXiv on 21 March 2026 with a result that should make enterprise analytics teams pause: the best tested frontier model...
Agent Commerce Is a Trust Layer Before It Is a Marketplace
Google's Agent Payments Protocol launched with more than 60 supporting organizations, while the Linux Foundation says A2A passed 150 supporting...
AI Coding ROI Needs Time Studies, Not Seat Counts
By the 2025 developer-survey cycle, AI coding tools had moved from novelty to routine use, which makes adoption a weak success metric [Stack...
Agent Data Injection Needs Trust Boundaries, Not Prompt Filters
Agent Data Injection argues that attackers can disguise malicious payloads as data the agent treats as trusted metadata, tool output, resource...
Agent Accountability Breaks When the Audit Trail Is Just a Trace
The EU AI Act's Article 12 now says high-risk AI systems must automatically record events across the system lifetime. Microsoft, in parallel, is migrating...
Assistant Agents Need Reminder Tests, Not Recall Scores
Most agent-memory benchmarks ask whether a model can recover old information. PM-Bench asks a harsher question: can an agent remember to do the right...
Models Training Models: The Promise and Peril of Synthetic Data
Microsoft's Phi-4 trained on more than 50% synthetic data and beat GPT-4o on graduate science benchmarks. The old rules about training data are changing fast.
More Context Doesn't Kill RAG. It Just Changes the Fight.
Long-context LLMs now hit a million tokens, but a persistent 10% accuracy gap and punishing costs keep RAG very much in the fight.