India plans central platform to legalize AI data collection

India is working on a central platform that legally provides anonymized data to AI providers. This initiative aims to reduce illegal data collection while encouraging the development of AI models. The platform will provide a structured and transparent source of training data, increasing the legality of AI development. At the same time, experts are discussing that many current LLM findings are already obsolete, indicating the rapid development of AI technology. This highlights the need to continuously update and secure data-driven models. Criticism of AI providers also arises from academic circles, such as when AI systems solve mathematical problems, which is considered potentially error-prone and insufficient. Security aspects play a central role here, especially for local coding agents whose risks and protective measures are in focus. The challenges of AI development range from legal issues to technical security concerns. A central role is played by the quality and legality of the data that serves as the basis for AI models. The Indian solution idea could play an important role here by enabling a structured and anonymized data collection. At the same time, it emphasises that the rapid development of AI technology can also lead to an obsolescence risk, underlining the need for continuous updating of models. Security aspects, such as protection against local coding agents, show how complex the challenges of AI development can be. India wants to create a clear legal basis with its platform to support AI development while avoiding illegal practices. AI development is facing the task of securing not only technically, but also legally and ethically. The Indian initiative could provide a model for how AI models can be developed legally and responsibly. At the same time, it underlines the importance of security and data protection in AI development. The rapid development of AI technology requires a clear legal and technical basis to secure the future of AI models.