myShakti: The First AI Chatbot in India Ensuring Both Data Security and Wide Accessibility

Does AI experience its equivalent of the Sputnik moment at present? DeepSeek has developed potentially revolutionary AI model development procedures that deliver affordable cost and efficient energy usage as well as universal accessibility.

Tech venture capitalist Marc Andreessen describes DeepSeek as "one of the most amazing and impressive breakthroughs I’ve ever seen” because it provides open-source technology which grants the world such profound access.

But what is open-source AI? What makes this development so essential?

Why is DeepSeek different?

Recent news headlines reveal that DeepSeek created a disruption in the worldwide tech industry. Liang Wenfeng mirrors the story of David facing off against the American tech titan Goliath according to the Financial Times of the United Kingdom.

DeepSeek operates from Hangzhou while Highflyer Chinese hedge fund supports the company that started operations in 2023. The DeepSeek-R1 model which DeepSeek launched in January 2025 demonstrates equal reasoning and mathematical capabilities to its chief industry competitors. The system exhibits its own unique developments which separate it from conventional models.

DeepSeek stands out from OpenAI’s secret-based ChatGPT and Anthropic’s Claude since its model together with data sets and algorithms remain open source to any user for download and use and custom development. Users can freely obtain DeepSeek's comprehensive technical explanations and code base and developers globally and organizations worldwide have open access to modify and implement it.

Meta and Google provide visible access to their models, yet they do not qualify as true open-source projects because user model application is governed through licensing systems and training datasets remain undisclosed.

Cheaper and more energy efficient

DeepSeek differentiates itself through the affordable expenses needed to construct it. The construction of DeepSeek required $5.6 million funding whereas Llama from Meta demanded $56 million to build. The substantial funding channels within the AI industry are facing criticism especially in the United States because of doubts about their actual necessity. Stock prices from Nvidia suffered serious declines when semiconductor technology stocks depreciated at the end of January.

The environmental impact improves when infrastructure setup requires less time and fewer energy resources because this reduces carbon emission levels related to AI technologies. DeepSeek develops a method which demonstrates potential to achieve better environmental sustainability in AI expansion.

What effects would open-source AI implementation bring to the market?

Free users of Apple App Stores in the United States made DeepSeek the preferred application to ChatGPT during the final days of January 2025. Fast adoption of DeepSeek-R1 indicates an essential progress toward AI democratization which enables small companies and individual developers to use it.

The adoption of open-source AI as a universal platform has the potential to grow technological progress in underdeveloped markets while advancing the whole field it is asserted. Developers should use their resources for special applications development since it allows them to unlock AI potential for real-world solutions.

The World Economic Forum through its AI Transformation of Industries initiative studies both challenges and opportunities of AI-driven innovation toward this goal. The whitepaper investigates how AI reformulates various industrial sectors.

Into the tech sector many experts predict that the open-source design of DeepSeek will advance both cooperation between developers and speed up AI research progress. People perceive open-source models to be more trustworthy since training data can be investigated by others. Various lawsuits now target prominent companies because they have failed to show their training data transparency.

The emergence of China's Deepseek, a large language model (LLM) trained at a fraction of the cost of its Western counterparts, has sent shockwaves through the global AI community leading to calls for India to build its own AI language models.

Darshan Hiranandani, CEO of Hiranandani Group, which owns data centre giant Yotta, said India would need a major overhaul to get up to speed in the AI race. “Most countries have $6 million and 2000 GPUs of H100. We have it at Yotta. But we haven’t created an ecosystem that invents. It’s a mindset issue.”

DeepSeek has received criticism because of suspicious content removal in its replies and training materials. The use of this system has resulted in governmental bans across different regions because administrators expressed privacy-related worries. Accomplished data process transparency and reinforced security protocols alongside reduced censorship practices are vital elements required for public trust establishment and widespread adoption acceptance of this technology.

Several individuals emphasize that open-source AI creates noticeable security threats because it allows malevolent parties to create bioweapons while spreading inaccurate information and false content.

The AI industry now has to reconsider its competitive methods because of DeepSeek. This low-cost open-source design system upsets industry standards while making governments reassess their definition of achievement during the AI age.

The platform promotes inclusivity through its open-source framework, yet its approach generates serious concerns about data privacy issues together with geopolitical security risks and data protection challenges. Future development of technology depends on effective solutions for these challenges because responsible adoption will determine its complete realization.