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AI That Matters: Ep. 4 – Difference Between Narrow vs. Broad (General) AI



Are You Human?

The 4th episode of my and Jürgen Bohn’s #AIthatMatters podcast is out! In this part we’re talking about the differences between narrow and broad / general AI, and why we won’t achieve superintelligence (like the one you see in the sci-fi movies like Her or Blade Runner) anytime soon. Current real life applications of #AI are predominantly narrow ones. That means AI delivers very specific, narrowly defined capabilities for factor constrained use cases.

As soon as AI starts to become capable to solve less rigidity defined problems with a broader scope, then we talk of a broad AI. This sort of means that the AI turns into a more generalist intelligence, with the ability to links observations and insights across different problem domains. And getting one step closer to work like we humans do, who today are true masters of fusing and combining and evaluating the most varied of inputs and drawing useful conclusions. We’re still far away from achieving that intelligent assistant that knows it all and can do the tough creative or strategic thinking work for us.

Make sure you like and subscribe our channel. Otherwise, you’ll make me and Juergen very sad. And you don’t want to see us sad, do you? 😃.

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