Who Owns What Your Agent Learns
Agents that learn from their own work are already in production. Whether that learning lives in the model's weights or in the harness around it decides who can inspect, revert and keep it.
The Context Layer
- Models
- AI Agents
- Software Delivery
The AI Self-Improvement Loop Is Closing. But Engineering Comes First
Anthropic, OpenAI and Google DeepMind have each measured AI speeding up AI research, and all three find the automation sits in engineering, not research judgement. Enterprises running AI face the same boundary.
Earlier
- Models
- AI Agents
- Security
- Models
PHP2Shell: When Finding Bugs Gets Faster Than Fixing Them
AI helped find PHP2Shell, though less than the headlines imply. The sharper lesson is what happens when bugs get cheaper to find and fixing them stays slow.
- Software Delivery
- AI Agents
The Bottleneck Moved to the Merge
Coding agents can produce code faster than an organisation can absorb it. Source control, review and CI each break differently, and Anthropic's Scion shows the order.
- Models
- AI Agents
- Governance
Build for the Model You Trust Least
Satya Nadella argues enterprises should treat frontier models as insider risks. That moves the hard engineering into the system around the model, where a 1972 security idea still applies.
- AI Agents
- Models
- Identity & Access
The Agent Just Stopped Living in the Chat Window
Meta put an agentic model on a single consumer GPU, while xAI and OpenAI gave their agents computers in the cloud. Neither yet gives enterprises an agent identity they can govern.
For AI agents
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