Terrence Tao has a very healthy view of what AI can and cannot achieve shorter term. It is refreshing to hear more grounded views from a top mathematician who is clearly well versed in the topic.
This interview covers a few different topics, like detecting flaws in the Venezuelan elections, to dangerous applications of AI, to monopolistic control of AI (towards the end of the interview).
Monopolistic control is clearly a problem, and all the barriers (money for GPUs, regulations that pull up the ladder, hoarding of user data, ability for big companies to copy smaller ones, etc) make this AI transition problematic unless we also come up with new easy to enforce antitrust regulations.
But I think an even bigger issue is that these monopolists are all closed source. Open source in AI means we should be able to reproduce their exact model. Everything from training data to censorship filters needs to be transparent. Otherwise we really have no idea how we might be getting manipulated through these systems, whether by the company providing the models or those who can regulate or pressure or otherwise control those companies.
Terrence Tao has a very healthy view of what AI can and cannot achieve shorter term. It is refreshing to hear more grounded views from a top mathematician who is clearly well versed in the topic.
This interview covers a few different topics, like detecting flaws in the Venezuelan elections, to dangerous applications of AI, to monopolistic control of AI (towards the end of the interview).
Monopolistic control is clearly a problem, and all the barriers (money for GPUs, regulations that pull up the ladder, hoarding of user data, ability for big companies to copy smaller ones, etc) make this AI transition problematic unless we also come up with new easy to enforce antitrust regulations.
But I think an even bigger issue is that these monopolists are all closed source. Open source in AI means we should be able to reproduce their exact model. Everything from training data to censorship filters needs to be transparent. Otherwise we really have no idea how we might be getting manipulated through these systems, whether by the company providing the models or those who can regulate or pressure or otherwise control those companies.
>Open source in AI means we should be able to reproduce their exact model.
like: Use this specific RNG seed and train for 10 trillion cycles in this data to get X duplicate model?