Generative-Ai

Most AI collaboration fails at the purpose level, not the task level. AI assistants execute tasks with precision and generate goal-oriented content on demand, but they operate without access to why a task matters — the values, directions, and constraints that determine whether doing a task well actually serves the person asking. David Lockie’s Intent Stack (2026) proposes a remedy: a five-layer hierarchy that structures human intention as persistent, machine-readable context, making purpose as available to AI systems as task descriptions already are.

Research: The “Expert Benchmark” Fallacy in AI Evaluation Date: 2026-03-11 Search queries used: “Expert Benchmark fallacy AI evaluation critique” “AI benchmark human expert performance misleading evaluation problems” “AI surpasses human experts benchmark critique misleading capability claims philosophy” “benchmark saturation AI Goodhart’s law evaluation gaming problems 2024 2025” “Emily Bender Arvind Narayanan AI benchmark validity problems human level performance critique” “Melanie Mitchell AI benchmark broken critique generalization reasoning” Executive Summary The “Expert Benchmark Fallacy” is not yet a formally named philosophical concept, but it describes a well-documented epistemic error at the heart of AI capability claims. It occurs when AI systems score at or above “human expert level” on a narrow benchmark test, and this score is then treated as evidence of …

In Defense of the Intelligent Use of AI Summaries A response to “Are AI-generated summaries suitable for studying and research?” — TU/e Library, February 24, 2026 The Wrong Question The TU/e Library’s February 2026 article makes a credible, data-grounded case against AI-generated summaries. Its findings are real. But it answers the wrong question. It asks whether AI summaries can replace the careful, deep study required for rigorous scientific output. The implicit audience is the academic researcher, the scientist, the person whose professional value rests on the precision and originality of their understanding. For that audience, the answer is: no, not yet, not without serious risk.