Three models, three bets on what intelligence becomes - Mitchell Bryson
OpenAI, DeepSeek, and Alibaba each shipped new models this week, and each made a fundamentally different bet about where AI capability needs to go next.
OpenAI, DeepSeek, and Alibaba each shipped new models this week, and each made a fundamentally different bet about where AI capability needs to go next.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
AI agents are gaining deeper access to enterprise systems and developer environments faster than anyone is securing them. Three stories from a single news cycle show the attack surface widening in real time.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
The hardest problem in agentic AI is not building capable agents — it is describing what we want them to do. Polanyi's Paradox, Goodhart's Law, and the limits of language converge to create a specification gap that no amount of engineering can close.
OpenAI amends its Pentagon deal after Altman admits it looked 'opportunistic and sloppy', while Claude surges to number one on the App Store and hundreds of employees publicly back Anthropic's stance.
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.
Hyperscalers committed $700 billion to AI data centres in 2026 while NVIDIA posted record revenue and memory chip shortages drive up consumer device prices globally.
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.