The cost of training is decreasing, but the meaningfully large and non-trivial training sets are almost exclusively in the domain of large companies, economically inaccessible to the individual developers/startups.
This is a space I worked on during the crypto boom of 2017/2018.
The opportunity is present for a decentralized network that allows for training of models to be done from training sets at facilities.
Think of all the data sitting in silos from clinical trials. There is of course the painful process of authenticating researchers for access to data like that but it can be done. There just needs to be an economic reason to make that kind of effort.
I got pulled into a direction of using ML to predict costs of care in insurance so didn’t go further down the rabbit hole but I did author a patent for a novel approach to have a decentralized identity exchange data.
If any of this sounds exciting to you feel free to email me. hn (at) strapr (dot) com
