Amazing what some surveillance agencies funding can bring to telecoms.
andruid
I mean ML is just the tool someone used to study a work in a way that generated a new understanding (the model). You could theoretically accomplish the same thing with a mathematician measuring painting with a variety of instruments and building a mathical model themselves to represent the relationship between word descriptions and the images produced.
The work of thousands of devs, engineers and scientists have just made that process both more wildly available and applicable.
Voting machines ...
Biometric data is useful for establishing identity, that can be used to correlate data better and for surveillance purposes.
Thanks for the link
Honestly the AI safety concerns of alignment I feel are exasperated by corporations, which we already don't have good ways to keep aligned to the interests of the general public.
There is a lot of cool federated learning frameworks, federated inference seems less fleshed out with petals.dev being the only example I know of for it.
Should have seized it instead literally chasing at wind mills.
You actually can setup your own private 4g/5g network, it's more targeted for IoT though
If it's not e2e then even if not public it can be purchased with no notification as well.
Honestly looking forward to doing an analysis of Gitlab for project, agile release trains, and portfolio management. I would love to have service desk, devs, and managers all looking at the same thing.
https://m.youtube.com/watch?v=aW2LvQUcwqc