According to clues found in the code of tvOS, Apple would prepare the ground to drastically improve, thanks to AI, the capacities of Siri to understand and generate natural language.
ChatGPT here, ChatGPT there. The star tool in the race for artificial intelligence is on everyone’s lips. The presentation of GPT-4, the novelties on the side of Microsoft – in particular on the new Bing – the replicas of Google or the improvement of Midjourney are all elements that also contribute to this trend of 2023. And during this time- what is Apple doing?
Let’s not get excited, for the moment, absolutely nothing suggests that the firm at the apple is preparing a conversational agent like ChatGPT. Nevertheless, the intelligent assistant Siri should be entitled to great improvements. This is what the specialized site advances 9to5Mac after discovering clues in the beta code of tvOS 16.4, the future update for Apple TV. The goal would be to increase Siri’s ability to understand natural language through more advanced artificial intelligence. We could thus talk to him a little more like a real human being.
Catch up on Siri
Thus, in the beta in question, Apple activated a new technology under the code name “Bobcat” for the ” natural language generation of Siri “. If the novelty is currently only tested within the framework of Apple TV, 9to5Mac says that elements discovered in the code suggest that these features are also on the way to iPhone, iPad, Mac and HomePod.
Broadly, it is the very operation of Siri that should change. Currently, Apple’s assistant is based more on pre-established models to respond to such and such a request.9to5Macrecalls that this has caused engineering and upgrading concerns of a Siri that has lagged in recent years in some aspects compared to other voice assistants such as Google Assistant or Amazon Alexa.
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Based on an AI more capable of understanding and generating natural language, Siri could hope to catch up. On the other hand, for the moment, the tests seem to be done discreetly in-house and it is not possible to predict when users will start to get a real glimpse of it.
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