Category: artificial intelligence
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Using GPT-3-era tools at work: useful tasks and verification limits
This article concerns the GPT-3 and early ChatGPT period. It is a historical perspective, not a guide to the features or model lineup available today. My interest remains practical: where can a language tool save useful effort, and what must we check before acting on its output? GPT-3 and ChatGPT are different kinds of names…
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AI in advertising: a 2022 perspective
This is a perspective on the advertising possibilities discussed in 2022. I have kept that historical framing rather than presenting old predictions as current news. Targeting is a prediction problem Advertising systems can use observed signals to estimate which impressions or audiences are more likely to meet an objective. That does not mean the system…
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An early AI-writing experiment—and why fluent text needs checking
This was an early experiment in AI-generated writing. The original article asked readers to spot the generated text, then disclosed its origin at the end. I now put that context first: the sample below was produced by an NLP tool, and the exact generator is not recorded here. It is preserved as an example to…