The only reason I find the export debate useless is simply because these models are not technically advanced. The "export control" debate being proposed by tech policy people comes from this understanding that these models have an economic value.
I am saying we can revisit these things faster as a society first - government can come later - that:
1. What is the real economics of resources and tech value around these models? NASDAQ is crazy and the way tech stocks are going up to and fro - it is better to stay away from US market's frenzies. How can a shoe company suddenly claim it is an AI company next day and stock price goes up then? Are retail investors crazy?
2. Most Indian VCs and investors and even government are not aware of data points like discussed in (1). If they won't be able to understand this - they won't realise what works as a reliable AI business model. So please - don't overreact on US businesses and AI labs. Study the
3. On frontier models - we have the talent in India and can bring some back from the US. But what we actually need in addition, is we start focusing on alternative AI research too, go through the evolution curve of AI again through private focused groups - because the government is not expected to know about evolution of AI. You cannot expect ministries to be aa capable as say a Roger Penrose or anyone. So it's fine.
Sarvam is a beneficiary of private funding and government support, both. We can have government funding these initiatives as
@mnwsth and others who are authors of
UP.AIACT.IN Report 2026 had suggested.
The Gujarat model is the best there undoubtedly.
Apart from this, echoing
@kingofknowwhere, fund that 5L per month to researchers in India at first so that they don't feel insecure and can engage into fundamental AI research. This is urgently needed.
There is no other way.
Beyond this - I am not sure if you need government support. You can have support on exhibitions and all, which is normal.
4. Last, try to solve economics of open source AI and associated intellectual property problems. This hits at the stomach of every AI lab or startup or translational research lab.
5. One more thing - our researchers have to address this problem of finding alternative research streams of AI. Go through your ArxiV, Openreview and other sites and figure out what trajectory of AI Innovation and subbranches are being made. That makes sure you are not a victim of the hype and you start publishing impactful research sooner followed by concentrating more focus into frontier AI research, beyond and within LLMs. I think we can try beyond LLMs, and hence we should not make the same mistake the Americans made.
Trust me - unless you address these issues - you cannot go ahead with fundamental AI research which is ambitious, focused and not scared.
Hope my suggestions reach the right people.
I have nothing against anyone personally but I will call out BS. Do whatever you can with this information.
cc
@soma_as_moon7 @RupakChatto @adityajakki @prasannavishy @AKLKO1977 @sreemoytalukdar
Export controls used to mean arms, then chips. Now it’s even a chatbot.
And “foreign national” is half the talent that runs Silicon Valley.
China has leading open-source models. India barely has a model.
Now sit with that. This isn’t a desi VC problem. It’s a sovereign crisis.