Topics
Every article and talk, grouped by the question it answers.
- Agents
How agentic systems are built, orchestrated and kept honest, and what they inherit from distributed systems.
- Protocols & MCP
REST APIs, MCP servers and agents: how the layers connect in production.
- Distributed systems
Queues, service discovery, sockets and resilience patterns: the infrastructure under AI.
- Inference & compression
Model size, precision and quantization: fitting capable models onto real hardware.
- Foundations
The ideas underneath: shared vocabulary, the math, and how to choose between models.
- AI risk & governance
Regulation, oversight and safety, read precisely and corrected in public.
- Security
Attacks on AI systems and the defences that hold up.
- Blockchain
Ledgers, signatures and consensus, and when they actually help agents.