DataMPowered research on architecture, institutional capability, Operational Intelligence and accountable work.
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4 whitepapers tagged with "architecture"
The contest over models is real. A second contest, over where capability and judgement live, is still open.
Stronger AI need not absorb the capability of people and institutions. This essay tests whether a second trajectory is technically credible: models that help people reach capability which stays local, authoritative and replaceable.
Establish what can be established. Use inference for what genuinely needs to be inferred.
AI can make existing organisational capability easier to discover and use. But we may be taking a different path, reconstructing knowledge, rules, authority and execution inside increasingly capable AI systems.
The opportunity may not be to rebuild organisations around AI, but to make institutional capability easier for people to discover, assemble and use.
We may be treating AI as another enterprise transformation. The opportunity may be a language interface into capability institutions already have.
Causes, Risks, and Architectural Strategies for Prevention
A systems-first examination of AI hallucinations, exploring the architectural and organizational strategies to mitigate hallucination risk in production environments.
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