The AI Data Paradox: The Safer You Make the Data, the Worse the AI Gets
This story is from 2026-10-14. It is preserved in the archive; the latest stories are on the live feed.
AI engineers spend enormous amounts of time tweaking small things to achieve bigger gains. Energy is poured into analysing model performance, rewriting prompts, tuning retrieval and building elaborate evals. But in enterprise settings, model performance is often most affected by what happens before…
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- 2026-10-14 12:05 · DEV Community — AI
The AI Data Paradox: The Safer You Make the Data, the Worse the AI Gets