After DeepSeek: Despite talent, on AI, India lags behind

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 Despite talent, connected  AI, India lags behindGenerative AI is not conscionable a technological frontier; it is simply a geopolitical battleground.

Jan 31, 2025 07:09 IST First published on: Jan 31, 2025 astatine 07:09 IST

On January 20, arsenic the satellite tuned into the inauguration of Donald Trump arsenic the 47th US President, DeepSeek, a Chinese company, established successful 2023 by Liang Wenfeng, a young technologist and entrepreneur, launched its archetypal generative AI ample connection exemplary (LLM) — DeepSeek R1. In a week’s time, this exemplary became the astir downloaded app successful the US, sending banal markets crashing crossed the globe and triggering debates if the generative AI bubble would travel the dotcom bubble.

This disruptive model’s gait and capableness astatine a fraction of the infrastructure outgo has challenged the US’s supremacy, premised connected its monolithic high-cost information centre ecosystems and high-performing semiconductor chips contempt China’s dominance successful uncommon world metals and engineering capability. As the apical leaders of the satellite stitchery successful Paris connected February 10-11 to deliberate connected “action AI”, this daze prompted by DeepSeek is going to diagnostic successful discussions; it volition besides springiness absorption to however the contention for generative AI volition person to beryllium handled.

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Generative AI is not conscionable a technological frontier; it is simply a geopolitical battleground. The quality to make and power foundational models confers important economical and strategical advantages. Countries that pb successful AI innovation tin signifier planetary standards, power planetary norms, and summation a competitory borderline successful industries ranging from defence to healthcare. The US-China rivalry successful AI is simply a lawsuit successful point. The US has agelong been the ascendant unit successful AI probe and development, acknowledgment to its world-class universities, tech giants, and venture-capital ecosystem. However, China’s concerted efforts to go a planetary AI person by 2030 person narrowed the gap. DeepSeek’s occurrence is emblematic of China’s broader strategy to execute self-reliance successful captious technologies and trim its dependence connected Western imports.

For different nations, this rivalry presents some challenges and opportunities. On the 1 hand, the attraction of AI expertise and resources successful a fewer countries risks creating a caller signifier of technological colonialism, wherever smaller nations go babelike connected overseas AI systems. On the different hand, the democratisation of AI tools and open-source initiatives offers a pathway for countries to physique their ain capabilities and asseverate their sovereignty successful the integer age.

India, with its thriving tech manufacture and immense excavation of engineering talent, is uniquely positioned to go a large subordinate successful the generative AI space. However, contempt its strengths, India lags down successful processing foundational models. Most Indian AI startups and enterprises trust connected overseas LLMs, which bounds their quality to innovate and cater to section needs. The effort to acquisition 10,000 graphic processing units (GPU) is yet to stitchery steam to beryllium capable to enactment the humble AI projects being planned astir optimal healthcare delivery, improved harvest yields, and enhanced entree to personalised education.

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Investing successful foundational models is not conscionable a substance of nationalist pride; it is an economical imperative. Generative AI has the imaginable to adhd trillions of dollars to the planetary economy, and India cannot spend to beryllium a passive user successful this transformative wave. Moreover, India’s divers linguistic scenery presents a compelling usage lawsuit for localised AI models. With implicit 22 officially recognised languages and hundreds of dialects, India requires AI systems that tin recognize and make contented successful aggregate languages. Foundational models tailored to Indian languages would not lone code home needs but besides make export opportunities successful different multilingual regions.

To execute this vision, India indispensable follow a multi-pronged strategy. First, the authorities should summation backing for AI probe and development, peculiarly successful academia and public-private partnerships. Initiatives similar the National AI Strategy and the constitution of AI probe centres are steps successful the close direction, but much ambitious efforts are needed. Second, India indispensable put successful infrastructure to enactment AI innovation. This includes high-performance computing resources, unreality infrastructure, and data-sharing frameworks that alteration researchers and startups to bid large-scale models. Collaboration with planetary tech leaders and information successful planetary AI consortia is important to accelerate progress. Third, India indispensable foster a civilization of innovation and entrepreneurship successful AI. This requires not lone method skills but besides a mindset that embraces experimentation and risk-taking. Initiatives similar AI hackathons, startup incubators, and industry-academia collaborations tin nurture the adjacent procreation of AI leaders. Fourth, Indian tech giants should commencement the LLM pursuit arsenic India has entree to amended GPUs and interconnects compared to China. The iCET sets India connected the way of broad tech practice with the US.

DeepSeek’s emergence is simply a testament to the transformative powerfulness of generative AI and the shifting dynamics successful the planetary AI scenery though it inactive remains to beryllium seen what is the fairness successful each its responses, peculiarly erstwhile it comes to prompts astir China and its governmental systems. It has stated that its R1 exemplary is unfastened root and has laid retired its reasoning successful a insubstantial successful Github. So, determination is the scope to trial and validate that exemplary and spot if specified models tin beryllium repeated astatine tenable costs, factoring successful concerns astir bias, privacy, and misuse.

The writer, a defence and cyber information analyst, is erstwhile state caput of General Dynamics

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