Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Tuesday, 17 June 2025

Learning from DeepSeek

 Learning from DeepSeek, honing India's AI strategy

Extract from the article:
The opening months of 2025 have indeed been momentous in the field of Artificial Intelligence, with India at a crucial juncture in its AI journey. The article outlines the imperative for India to build foundational pillars—robust frameworks, indigenous capabilities, and strategic policies—to propel true innovation rather than merely adopting or adapting foreign technologies. A significant announcement highlighted is the government’s plan to develop a Large Language Model (LLM) domestically within the coming months. This move signifies India’s intent to not only participate in but also lead AI development, creating tailored models that serve local needs and contexts.

Furthermore, the article delves into the broader AI ecosystem in India, underscoring the importance of synchronized efforts among academia, industry, and government. Emphasizing the role of data governance, ethical frameworks, and collaborative research, it advocates for a carefully curated AI strategy that balances ambition with responsible deployment. The narrative also stresses learning from global exemplars while tailoring strategies to India’s unique demography and linguistic diversity. In essence, the article is a call to action for a more cohesive, innovation-driven approach to AI that leverages India’s strengths in talent and technology.

My Take:

A. RE: PIAI - Regulating Artificial Intelligence
The fulcrum of this blog was about establishing an auditing and regulatory framework for AI, something that seemed futuristic then but has now become practically indispensable. "I had emphasized the need for a UN agency devoted to AI, outlining how international coordination combined with national regulatory oversight would be the cornerstone for safe, ethical AI deployment." This insight resonates deeply with India's current push for indigenous LLM development—without robust regulation and audit trails, even the most advanced AI technologies can falter or be misused. Reflecting on this, I see a continuity in the thought process: visionary frameworks must precede or at least accompany technological leaps. India’s current AI strategy needs to integrate these regulatory principles to ensure technological sovereignty coupled with ethical responsibility.

Moreover, the mention of “Parekh’s Law of Chatbots” in my earlier work, which illuminates how interaction paradigms must evolve with AI maturity, aligns perfectly with the challenge India faces now. Building an LLM domestically isn’t simply about algorithms; it’s about creating AI that genuinely understands India’s linguistic and cultural nuances. The foresight from those blogs about licensing regimes analogous to those for vaccines or medicines also underscores the urgency for India to implement standards that prevent misuse and safeguard public interest as the technology scales.

B. Priorities for AI - Artificial Intelligence Portal
Back in 2020, I applauded the launch of India’s National Artificial Intelligence Portal as a seminal step towards creating a unified hub for AI resources, research, and policy. "The vision was for India to harness its vast talent pool and data assets by sharing knowledge, fostering innovation, and enabling collaborations across government, industry, and academia." This foundation is now bearing fruit, as reflected in the article’s emphasis on building the key building blocks for AI innovation. The portal’s role in disseminating AI knowledge and enabling new job roles was not merely administrative but catalytic, sparking deeper engagement nationwide.

Understanding that AI is set to dominate life globally, I had remarked on the urgent need for India to not only participate but lead with its own strategies and technologies. The current government initiative to engineer a homegrown LLM perfectly exemplifies this progression from aspiration to actualization. What started as a digital knowledge-sharing platform has evolved into a springboard for strategic national projects. For me, this trajectory validates the early priorities articulated—India’s AI ecosystem has matured with deliberate focus on infrastructure, education, and research.

C. Shri Meghwalji - Who Killed 288 in Train
In this blog, while the primary narrative centered on governance and policy reform, there were keen insights about the rapid generational shifts in AI technology. "Two generations of AI barely last two years," I noted, underscoring the breakneck speed of change and the imperative to adopt agile policies. The article reinforces this sense of urgency: India must rapidly build its AI capacities to keep pace globally rather than remain a follower. My reflections on integrating LLMs to enhance government services presaged the current strategic plans to develop country-specific linguistic models.

Additionally, the idea of AI analyzing socio-economic data to improve governance anticipates the practical implications of AI beyond technical innovation. It is not only about building powerful language models but also about embedding these tools in ways that amplify service delivery and policy responsiveness. The article’s mention of ethics, data governance, and collaboration resonates with the point I made—that innovation must be harmonized with social utility and accountability.

Call to Action:
To the Hon’ble Ministry of Electronics and IT and policymakers shaping India’s AI trajectory: It is imperative to complement the technological development of indigenous LLMs with transparent regulatory frameworks and ethical safeguards. Create a national AI oversight body that includes technologists, ethicists, and civil society representatives to guide development and deployment. Additionally, invest in expanding the AI skill ecosystem aggressively through the National AI Portal and partner with academia to foster cross-disciplinary AI research. Harness this pivotal moment not merely to catch up but to leapfrog into a future where India sets global standards in ethical, innovative AI.

With regards, 

Hemen Parekh

www.My-Teacher.in

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