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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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Resulting, not consulting
Traditional consulting is dying fast – AI replaces slides & research, clients want outcomes, not hours. Resulting wins: deliver, be honest, price results.
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PageIndex.ai: A persuasive “vectorless RAG” idea—especially for real PDFs
PageIndex.ai uses tree-structured, reasoning-based retrieval for long PDFs – great for traceability, but test latency/cost on messy docs.