Journalist challenge: Use “Machine Learning” when you mean machine learning and “LLM” when you mean LLM.
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Journalist challenge: Use “Machine Learning” when you mean machine learning and “LLM” when you mean LLM. Ditch “AI” as a catch-all term, it’s not useful for readers and it helps companies trying to confuse the public by obscuring the roles played by different technologies.
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Journalist challenge: Use “Machine Learning” when you mean machine learning and “LLM” when you mean LLM. Ditch “AI” as a catch-all term, it’s not useful for readers and it helps companies trying to confuse the public by obscuring the roles played by different technologies.
Machine learning (umbrella term, I know) is a useful, sometimes transformative tool in the hands of trained researchers who understand how to deploy it and critically assess the results.
A chatbot is not useful in the same ways (though underlying technologies may be, in other contexts).
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Machine learning (umbrella term, I know) is a useful, sometimes transformative tool in the hands of trained researchers who understand how to deploy it and critically assess the results.
A chatbot is not useful in the same ways (though underlying technologies may be, in other contexts).
Lumping them together as “AI” gives readers the impression that a single class of tool is discerning novel protein structures, teasing subtle patterns out of mountains of LHC data, writing a student’s History 101 paper for them, and arguing that a ketamine-addled billionaire could post up Shaq in his prime. No.
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Lumping them together as “AI” gives readers the impression that a single class of tool is discerning novel protein structures, teasing subtle patterns out of mountains of LHC data, writing a student’s History 101 paper for them, and arguing that a ketamine-addled billionaire could post up Shaq in his prime. No.
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