This article, Datasets Over Algorithms — Space Machine, makes a good point, namely
…perhaps many major AI breakthroughs have actually been constrained by the availability of high-quality training datasets, and not by algorithmic advances.
Looking at this chart they provide illustrates the point:

I’d argue that it isn’t solely datasets that drive A.I. breakthroughs. Better CPUs, improved storage technology, and of course new ideas can also propel A.I. forward. But if you ask me now, I think A.I. in the future will need better data to make big advances.
I think that because of the popularity of less reliable data stores and graphql to allow access to many different data stores from one query is a major step forward for AI development because it starts providing standardize data access to data from ai platforms.
Btw your comment form isn’t too mobile friendly. Couple of tweaks you can do is the email field can have type “email” and the homepage can have type url
I think that because of the popularity of less reliable data stores and graphql to allow access to many different data stores from one query is a major step forward for AI development because it starts providing standardize data access to data from ai platforms.
Btw your comment form isn’t too mobile friendly. Couple of tweaks you can do is the email field can have type “email” and the homepage can have type url