Forgetting in machines: when deleting data isn't enough
A datum erased from a table disappears. One erased from a model does not. On machine unlearning, weights that hold on and human forgetting as mirror.

A datum erased from a table disappears. One erased from a model does not. On machine unlearning, weights that hold on and human forgetting as mirror.

Validation bias in AI outputs: code that compiles, well-written reports, closed-loop audits. How to build mechanisms of doubt into the pipeline.

MCP and A2A protocols, task delegation and diffused responsibility. The machine-to-machine conversation engineering does not yet know how to supervise.

Reasoning models consume 6 to 13 times more energy than standard queries. What data engineering is still not measuring.

Two architectures, two philosophies of reasoning. Google bets on depth, Meta on presence. What changes for data engineering.

Reinforcement learning, DeepSeek-R1 and the erosion of collective cognitive immunity. What emerges when we stop teaching and start observing.

Bias, identity and exclusion in multi-agent systems. What happens when several language models stop talking to you and start talking among themselves.

When video stops being proof: how Sora 2 proposes emotional experiences indistinguishable from the lived, and what that blurred frontier implies.

When Barcelona's companies outsource their thinking to opaque algorithms. A tech-ethical analysis of the Barcelona business ecosystem.

Proton's AI assistant proposes another way to build AI: no mass collection, no centralised infrastructures, and European sovereignty.

Databases that understand context, generate metadata and participate in governance. From traditional modelling to co-modelling with embedded intelligence.

AI will not arrive as a spectacular invention but as silent infrastructure. Five structural scenarios and the ethical tensions of tomorrow.