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Neural networks, deep learning and other supervised learning algorithms do not "take actions" by themselves, they lack agency. However, it is relatively easy to give a machine agency, as far as taking actions is concerned. That is achieved by connecting inputs to some meaningful data source in the environment (such as a camera, or the internet), and ...


9

Some AI researchers do think RL is a path to AGI, and your intuition about how an agent would need to be proactive in selecting actions to learn about is exactly the area these researchers are now focused on. Much of the work in this area is focused on the idea of curiosity, and since 2014 this idea has gained a lot of traction in the research community. ...


3

The short answer, i think, is that it cannot. The AI system will only do, and it will only be good at the task that the programmer made it for. Of course you could have an AI that, for example, can trigger a prediction on the input with different models depending on some other variables, but that will still be based on what the programmer wrote, it will ...


3

There is at least one very important and serious AI scientist that apparently believes in the creation of true artificial general intelligence and possibly superintelligence: Jürgen Schmidhuber, who is the co-author of the LSTM, among many other important contributions. In fact, he recently founded NNAISENSE for this ultimate purpose, that is, to build a ...


1

You invoke it in a loop. Imagine a digital assistant responding to voice queries. It might look something like this: for(;;) { var audio = RecordSomeAudio(); var response = model.predict(audio); if(response.action == "SAYSOMETHING") { PlaySomeAudio(response.output); } } Note that the model gets invoked repeatedly and can decide in a given ...


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