Infrastructures that forget: from compliance to design
Saving is easy; erasing is hard. How to shift the architecture of storage so that forgetting becomes the default state and not a late add-on.
Tag
#data-engineering
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When agents talk to each other
MCP and A2A protocols, task delegation and diffused responsibility. The machine-to-machine conversation engineering does not yet know how to supervise.
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The hidden cost of reasoning: thinking has a bill
Reasoning models consume 6 to 13 times more energy than standard queries. What data engineering is still not measuring.
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Muse Spark vs. Gemini 3 Deep Think: two ways to think
Two architectures, two philosophies of reasoning. Google bets on depth, Meta on presence. What changes for data engineering.
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AI embedded in databases
Databases that understand context, generate metadata and participate in governance. From traditional modelling to co-modelling with embedded intelligence.
