That's exactly what they are doing. Out of all the civilian applications that AI capabilities have, why has this surfaced as a priority for demonstration? Probably because of money.
Why? The "one device" can be something portable like a Yubikey-like USB key, or for that matter, a smart phone, because people are already forced to use phones to do authentication codes, so it is kind of assumed a phone is always with you. In fact there is an existing workflow for this, where you use the phone to scan a QR code and pass the challenge back.
It should have never been a cloud password manager play. It should be hardware device only, and tied to the device. One passkey on each hardware device.
Uh, if you set up a passkey it becomes the default almost always. Then on another device it'll pop up looking for it and look like login failure and you need to "try another way". That's alarming to anyone, not to mention seniors.
Lots of ways. Selling author signings, talks, authorized copies, subscriptions/merch, sponsorships. How do newfangled "content creators" fund their work? We already live in this world.
Maybe not all creative works are deserving of monopoly profits just by sitting on the ass in any case, and should stand on their own merits by producing downstream value that can be sold for whatever they can be sold for, by whoever puts in the work to deliver the value to the end user in a competitive manner. You know, open markets.
Attribution I can see. Consent or payment beyond market value, why? Just because you put in a billion hours to make a shitty $1 value output I should pay you a billion hours worth of labor?
Which naturally begs the question whether the excess returns in finance (outside of services provided for liquidity matching, risk transformation, etc.) is not just exploiting inside information of one kind or another. If you have inside information, your time series forecasts are going to be excellent and no simulation is needed.
That's a bit of a vacuous statement. Stationarity makes sample statistics meaningful due to the LLN, sure, but almost nothing is stationary (and even if something is, there is no way to know anyway, you can only assume). If you condition on enough variables and do enough transformations you may get something seemingly stationary and therefore trivially predictable. But all the practical complexity is in that structure you need to specify. The true prediction "problem", when people work on such "problems", really is in the stuff besides the thing that you can just use averages to predict.