Sovereignty and open models: the common thread of ai-PULSE 2026
The word sovereignty was everywhere at Station F, right down to the signage. Behind the slogan, a fairly coherent strategy: open weights, GPUs in Europe and the middle layer.
Agent identity, a field still wide open
Zalando runs agents across 2,700 microservices. Their answer to scattered secrets is open source, and it fits in one RFC.
Inference economics: why the GPU is not the point
At ai-PULSE 2026, AMD talked about reselling tokens and Nokia about networking inside the racks. Read together, the two talks show that what costs money is the time the chip is not working.
ai-PULSE 2026: what I took away from the day
A report on Scaleway's AI conference at Station F: the opening keynote, sovereignty, inference economics, agent identity. With links to the detailed write-ups.
ANSSI: security recommendations for a generative AI system
35 recommendations, from training to production: manipulation, infection, exfiltration. The linked document is in French.
Building effective agents
Workflow or agent? Start simple, and add autonomy only when it really pays off.
The lethal trifecta for AI agents
Private data, untrusted content, an exfiltration channel: the combination an agent must never bring together.
OWASP Top 10 for Agentic Applications (2026)
Goal hijacking, tool misuse, memory poisoning: the list of risks specific to autonomous agents.
Effective context engineering for AI agents
Context is a limited resource: what you give an agent to read matters as much as what you ask of it.
Model Context Protocol
The standard protocol for plugging tools and data into an agent. Read it with the “lethal trifecta” in mind.