This week YouTube hosted Brandcast 2025 in which it revealed how marketers could make better use of the platform to connect with customers.

A few new so-called innovations were announced at the event but one has caught the attention of the internet – Peak Points. This new product makes use of Gemini to detect “the most meaningful, or ‘peak’, moments within YouTube’s popular content to place your brand where audiences are the most engaged”.

Essentially, YouTube will use Gemini and probably the heatmap generated on YouTube videos by people skipping to popular points, to determine where to place advertising. Anybody who has grown up watching terrestrial television where adverts arrive as a way to build suspense will understand how annoying Peak Points could become.

  • @[email protected]
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    52 days ago

    It’s a computer (Artificial) making a choice that is better than random (Intelligence)

    What it is not is a LLM (aka chatbot). It isn’t even any type of neural network. Does not make it any less AI though

    • @[email protected]
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      2 days ago

      No, it’s a computer making a computation. The programmer is the one using intelligence by choosing the appropriate computation for the situation at hand.

    • Ulrich
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      2 days ago

      It’s a computer (Artificial) making a choice that is better than random (Intelligence)

      That’s not what AI is, that’s just programming. AI implies the software was trained on a dataset in order to make pseudo-decisions on its own about the best way to do things.

        • Ulrich
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          42 days ago

          Machine learning is artificial intelligence…

            • Ulrich
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              12 days ago

              Right, but basic automation is not artificial intelligence.

              • @[email protected]
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                -12 days ago

                I wonder where we can draw the line. Its weird because the definition of AI is continuously changing, even though its two self evident words, artificial intelligence.

                • @[email protected]
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                  42 days ago

                  If we took the words at face value, I don’t think we could label anything we’ve built AI.