Respected Shri Ashwini Vaishnaw ji,
Warm regards.
I am writing to place before you a strategic policy proposition concerning the
future direction of Artificial Intelligence development in India — particularly in the
context of emerging discussions around Artificial General Intelligence (AGI).
As Hon’ble Minister of Ministry of Electronics and Information Technology (MeitY),
your leadership has already guided India toward building globally respected
Digital Public Infrastructure such as UPI, Aadhaar Stack, ONDC, and CoWIN.
These systems demonstrate India’s unique ability to create interoperable,
scalable, and inclusive digital ecosystems.
In that spirit, I respectfully submit for your consideration a framework I have
termed:
“Parekh’s Cooperative AGI Hypothesis”
Core Proposition
Instead of pursuing AGI through isolated, competitive, large-scale singular models,
India could champion a cooperative model in which multiple Large Language
Models (LLMs) interconnect through secure, standardized protocols.
The central thesis is:
The probability of safe, stable, and benevolent AGI increases when
intelligence is distributed and interoperable rather than centralized and
monopolized.
In essence, intelligence may evolve like infrastructure:
The World Wide Web emerged from interconnection, not a single super-computer.
Global telecom works because competing providers interoperate.
Power grids multiply resilience through connectivity.
UPI created exponential value through interoperability.
Similarly, AI may achieve higher capability and safety through structured
cooperation.
Why This Matters Now
Globally, AI development is increasingly framed as a competitive race among
corporations and nations. This trajectory risks:
Centralized concentration of intelligence,
Geopolitical tension,
Safety trade-offs in pursuit of speed.
India has an opportunity to offer a stabilizing alternative:
A model of Interoperable Artificial Intelligence Infrastructure (AIPI) —
analogous to Digital Public Infrastructure.
Strategic Benefits for India
Reduced Concentration Risk
Distributed AI systems reduce dependence on any single model or entity.
Promotion of Specialization
Indian startups, academia, and domain experts can build specialized models(agriculture, climate, healthcare, education) that interoperate within a
national framework.
Global Standard-Setting Leadership
India can propose cooperative AGI standards at G20, BRICS, and multilateralAI forums.
Economic Multiplier Effect
Interoperability lowers barriers to entry and encourages SME and researchparticipation.
Democratic Oversight & Auditability
Cross-verification among models enhances transparency and accountability.
Suggested Next Steps
I respectfully propose consideration of:
A “National AI Interoperability Mission” under MeitY,
Development of standardized secure inter-LLM communication protocols,
Pilot programs connecting multiple Indian LLMs with consensus-based response synthesis,
Integration of zero-trust architecture and cryptographic identity safeguards,
Exploration of AI Public Infrastructure as a national initiative.
Long-Term Vision
Over the next 10–15 years, India could pioneer a global cooperative AI ecosystem
where:
Intelligence is interconnected,
Governance is distributed,
Capability grows through collaboration,
AGI emerges as a network property rather than a centralized entity.
Such an approach aligns with India’s civilizational ethos of cooperation and shared
progress.
Hon’ble Minister,
India has already shown the world how interoperable systems can redefine
finance, commerce, and public health. The next frontier may be interoperable
intelligence.
I would be deeply honored if this proposal may be examined at an appropriate
policy forum under your guidance. I remain available to share a detailed concept
note or participate in any consultative discussion, should the Ministry deem it
appropriate.
With respectful regards,
Hemen Parekh
Mumbai
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