I recently changed my mind on this: being able to use phone numbers as identifiers also has some benefits: Last time I was on vacation, it was easy to get in touch with service providers (e.g. surf school, massage place) via WhatsApp, simply because I had their number, and everyone used WhatsApp anyways. If Signal would be more popular, I could instead contact them directly via Signal, since I only need their phone number. It allows for a more seamless transition.
Matrix OTOH would have a harder time getting adopted: businesses would need to update their websites, facebook pages and flyers to add the matrix contact info. Which they wouldn't do until Matrix is more popular. Which is a chicken and egg problem.
> > The first part is true of all statistical models: To improve performance by a factor of k, at least k^2 more data points must be used to train the model. The second part of the computational cost comes explicitly from overparameterization. Once accounted for, this yields a total computational cost for improvement of at least k4.
Those claims are entirely new to me, and I've been a researcher in the field for almost 10 years. Where do they come from/what theorems are they based on? It's unfortunate this article doesn't have any citations.
Matrix OTOH would have a harder time getting adopted: businesses would need to update their websites, facebook pages and flyers to add the matrix contact info. Which they wouldn't do until Matrix is more popular. Which is a chicken and egg problem.