Give and receive. This is some support for the idea that the law of reciprocity is ingrained fundamentally in us, even to lower form species like birds.
What is the consumer electronics entrypoint for widespread use of AI assitants (as a utility)?
So far, it has been smartphones with only recently other devices such as smartwatches and the Echo also offering AI assistants. But are these the most natural points of interaction with AI assistants, or is there a device even more fundamental? Windows 10 is rolling out embedded AI (Cortanna) that hopefully will allow more intuitive interaction with the Windows universe (Word, Outlook, etc.). So we will start seeing AI for computers--and maybe Siri will be more present in MacBooks. As yorak said, I also believe AI assistants will become the predominant way people interact with the digital world. I see companies like VIV disrupting search engines and potentially becoming the next Googles of the world. Just as our FBook and Google accounts are becoming universal online identities and accesspoints into other services, perhaps so too will people subscribe as a utility to their favorite AI assistant, which across devices/platforms, can know the users' preferences and evolve the service.
But again, what is the entrypoint device that will really make AI assistants widely used?
The idea of digital assistant does not require it to be tied to any specific device. It can live in the cloud and follow you anywhere the entrypoint being any device you are using (and you are logged on). Think of Jarvis from the Iron man movies. If I understood the aim of the VIV correctly, they are trying to do this by not tying the service to any given platform but being this platform. This is what makes it so powerful and intriguing (and scary if you do not have the control of the assistant).
I agree: Understanding something cognitively doesn't mean you've internalized it and can apply it. Even if you get ex ante insight from others, this can only partially help you because sometimes, you inevitably have to make mistakes yourself and learn only from breaking through your own sticking points.
