AI Content Detection
Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
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Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
When a model gets worse over time because the world moved on and it did not. A pricing or demand model trained two years ago quietly stops matching how customers behave now.
Training a model on unlabelled data and letting it find structure by itself — grouping similar customers, say, without being told what the groups are.
Marking AI-generated content so it can be identified later, often invisibly. Part of the same effort as provenance, and equally early.
Training by trial, error and reward rather than by examples. It is how models are tuned to be helpful and to refuse things they should refuse.
The written summary Google now places above its search results, assembled from several pages and citing a few of them. Appearing inside one can bring visitors; being left out of one can quietly cost you the clicks you used to get.
The rough limit on how much of your site a crawler will fetch in a visit. Slow pages and endless near-duplicate URLs spend it on nothing, so the pages that matter get visited less often.