Equation 47 · AI Feeds on the Distance Between an Intention and an Outcome
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Symbol G
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There is a second source of self-deception: a seemingly elegant map can be fit after the fact. The task strata, cue-removal rules, completion-class rubric, definition of a consequential transition, budget, reliability threshold, model families, number of seeds, clustering strategy, replacement policy, and primary metrics must be preregistered. Exploratory alternatives—different entropy smoothing, a different class granularity, a nonlinear G term—may be reported, but not promoted to the title result. The temptation will be strong because every flexible coding decision can make a curve look ecological.
Sources cited in the article section
- [11] GAIA: A Benchmark for General AI Assistants ↗
- [12] PaperBench: Evaluating AI's Ability to Replicate AI Research ↗
- [6] RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts ↗
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