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The Opaque Prompt Pipeline: Why “AI-Powered” Tools Make You Leak on Autopilot
Many “AI-powered” apps hide the model, costs, and retention—turning your text into an untracked data export. That’s not paranoia.
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Prompting’s Midlife Crisis: Turning Incantations into Infrastructure
Anthropic’s Skills shift prompting from clever phrasing to testable, trigger-based instruction packages—less mystique, more engineering.
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From PDE Guarantees to LLM Inference: What BEACONS Gets Right About Reliability
BEACONS shows how bounded-error, composable neural solvers can be certified—hinting at LLM inference pipelines with checkable reliability.
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The Assistant Axis: when “helpful” is a place, not a promise
Anthropic finds a measurable “Assistant Axis” in LLMs. Capping drift along it reduces harmful persona shifts and jailbreaks—raising questions about human identity.
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The Hidden Toll of AI in the Workplace
AI promises workplace efficiency but often leads to heavier workloads, expanded roles, blurred work-life boundaries, and rising burnout for knowledge workers.
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