The AI Context Paradox: Engineering Reproducibility and Perpetual Legacy
freediver Saturday, January 31, 2026
Summary
The article explores the 'AI context paradox', where AI systems trained on historical data can perpetuate and amplify societal biases. It discusses the challenge of building AI systems that are 'future-proof' and can adapt to changing contexts, while also maintaining a reproducible and verifiable legacy.
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mikelev.in