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Does it mean that these tools were not well built, so they malfunction from time to time?
Or is it a strategy by these AI model producers to prove that they have built more advanced models? Let me say, are they showcasing that their models are smarter?
https://www.bbc.com/news/articles/cx2kgdnyk2poWhy not both? AI models are very complicated and hallucinate, contain bugs, vulnerabilities... that is to be expected after all. The problem is that predicting the repercussions of these is still difficult, but it doesn't seem like a lot of people really care, and in the end any news, even if it is negative, seems to have a positive impact on the AI hype. At least for the time being, until something very serious happens, or another technology grabs the public's attentquot
Obviously I don't think there is a sarcasm about the producers motive. After all it is certain that technologies evolves in advancements to provide users update modalities that either suits an era but focused on offering better services than the previous models.
It also requires some time factors and stages for the techs to research ahead the future to discover new innovations to implement before haven the invention a successful one.
There is also possibilities that they have already implemented series of the modality AI tools but had to publish them by steps probably when known that users of the tools has become too familiar with the service features, so they could also introduce something new to catch users interest again.
So hyping could also be an untold reasons for the mode of innovation concepts.