AI hype

Is AI progress slowing down?

Making sense of recent technology trends and claims

Dec 18, 2024 •

Arvind Narayanan

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AI companies are pivoting from creating gods to building products. Good.

Turning models into products runs into five challenges

Aug 19, 2024 •

Arvind Narayanan

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AI scaling myths

Scaling will run out. The question is when.

Jun 27, 2024 •

Arvind Narayanan

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Scientists should use AI as a tool, not an oracle

How AI hype leads to flawed research that fuels more hype

Jun 3, 2024 •

Arvind Narayanan

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Will AI transform law?

The hype is not supported by current evidence

Jan 24, 2024 •

Arvind Narayanan

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ML is useful for many things, but not for predicting scientific replicability

How the veneer of AI is used to legitimize awful ideas

Aug 11, 2023 •

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Arvind Narayanan

AI cannot predict the future. But companies keep trying (and failing).

A new paper on how AI companies make false promises and how we can challenge them

Mar 1, 2023 •

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Arvind Narayanan

People keep anthropomorphizing AI. Here’s why

Companies and journalists both contribute to the confusion

Feb 22, 2023 •

Arvind Narayanan

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ChatGPT is a bullshit generator. But it can still be amazingly useful

The philosopher Harry Frankfurt defined bullshit as speech that is intended to persuade without regard for the truth. By this measure, OpenAI’s new…

Dec 6, 2022 •

Arvind Narayanan

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The bait and switch behind AI risk prediction tools

Toronto recently used an AI tool to predict when a public beach will be safe. It went horribly awry. The developer claimed the tool achieved over 90…

Nov 17, 2022 •

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Arvind Narayanan

Eighteen pitfalls to beware of in AI journalism

A checklist for avoiding hype

Sep 30, 2022 •

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Arvind Narayanan

Generative AI models generate AI hype

Over 90% of images of AI produced by a popular image generation tool contain humanoids

Sep 9, 2022 •

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Arvind Narayanan

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