Having our own foundational AI model is vital as our demography is different’, Pg 12

Need for Indigenous AI Models

• Ajay Sood, Principal Scientific Adviser, emphasizes India's need to develop its own foundational AI models due to its unique demographic and linguistic diversity.
• India's AI Mission focuses on computing resources and data infrastructure to build nation-specific AI applications.
• 18,000 GPU worth of compute power planned, with private sector participation.

Reactive vs. Proactive Approach in AI

• India has been reactive in AI advancements but needs to lead in AI model development instead of adopting foreign models.
• AI should support, not replace human decision-making, ensuring ethical usage.

Quantum Computing & India's Readiness

• Microsoft’s Majorana Qubit success marks a breakthrough in Topological Quantum Computing, making qubits more stable.
• India is still at early stages in quantum computing, but ongoing efforts exist.
• Calls for strategic investment and talent development in quantum AI models.

Analysis & Way Forward

• Investing in domestic AI infrastructure will reduce dependency on foreign models and align AI development with Indian societal needs.
• Quantum computing breakthroughs should be closely monitored and integrated into India’s AI research strategy.
• Collaboration between academia, government, and industry is key to technological self-reliance.

Mains Mock Question:

Discuss the need for India to develop its own foundational AI models. How can integrating AI with quantum computing enhance India's technological edge?