Today in AI — 3 March 2026 - Mitchell Bryson
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Three separate security disclosures this week exposed a pattern: we are deploying agentic AI infrastructure faster than we can secure it, from MCP servers to coding assistants.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Agentic AI systems degrade through context rot, compounding errors, and model drift — but human oversight erodes in lockstep. The widening gap between actual reliability and perceived reliability is the defining engineering challenge of autonomous systems.
Amazon's $50 billion investment buys exclusive cloud hosting for OpenAI's enterprise platform, creating a split-brain infrastructure that every builder on OpenAI needs to understand.
Entities: OpenAI
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Google's latest research shows multi-agent coordination can actually reduce performance, challenging the industry's $52 billion bet on orchestrated AI systems and revealing why coordination complexity may be the wrong path forward.
Entities: Google
Mastra's open-source memory system replaces retrieval with background compression, scoring highest on LongMemEval at a fraction of the cost. If you're building agents that need to remember, pay attention.
As AI agents become economic actors - negotiating, transacting, and making commitments - they'll need infrastructure we haven't built yet: verifiable identity, earned reputation, and enforceable accountability.
A philosophical but concrete blueprint for how buyer and supplier agents could negotiate terms, compile enforceable contracts, and settle instantly across today's rails.
A practical model for growing AI agent autonomy - levels, controls, and KPIs - grounded in risk frameworks (NIST AI RMF, ISO/IEC 42001) and aligned with EU AI Act oversight.