I’ve been reading a bit more about Sovereign AI after the discussion in the paper I posted earlier. Came across this short piece in Science by Akash Kapur and Arvind Narayanan: https://doi.org/10.1126/science.ael0463 One point I found genuinely interesting: they argue that India’s sovereignty discussion focuses a lot on chips, data centers and LLMs , while the application layer gets much less attention — especially agents and the software actually doing work. That got me thinking: You can run your own model. You can host your own infrastructure. But if the important workflows, agent logic, organizational context and tooling are tied to someone else’s platform, how sovereign are you actually? And this seems to be where the market is heading too. Microsoft, Salesforce, OpenAI, etc. are moving further into the agent/application layer, while platforms like Lyzr are taking a more model/cloud/framework-agnostic control-plane approach. I’m starting to think model portability may matter less than application portability . Being able to swap an LLM is useful, but being able to move an entire agent workflow without rebuilding the system feels like the bigger question. Curious what people building agents think about this. submitted by /u/rio_ARC
Originally posted by u/rio_ARC on r/ArtificialInteligence
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