Andy Mukherji: "Deep Seck" is the last opportunity for India to catch up with the artificial intelligence breed

Artificial intelligence travel and Deep Seck is the last chance for India to seize to participate in the race before it’s too late. Since the private sector is very conservative for risks, so that it does not support research projects with unspecified returns, the state must intervene. The artificial intelligence models of the Chinese boot, which started with Open Source licenses last month, were designed with a simple part of the cost of competitive models that need large investments such as “Chat GBT”, developed by “Oben AI” and “Gimenai” developed by “Google”. The US technology industry and Wall Street investors consider Deep Cick as a fundamental market change. Silicon Valley businesses pump hundreds of billions of dollars to ward off challenge and competition. New York State has banned the artificial intelligence assistant developed by “Deep Seck” of government agencies. Also read: India is rushing to develop artificial intelligence models to the superiority of the “Deep Seck”, and India monitors economic and political competition from sidelines instead of real participation. This position is a serious negligence. Unlike the manufacturing or transport sectors, as it has already abandoned a great progress for its neighbor, the race here is still wide open. But unless the most populated country is exploited by its internationally recognized superiority in the field of programming, the opportunity will not remain available forever. Deep SIK threatens the only competitive advantage that India has worked hard in the twentieth -and -twentieth century: providing programming services on a large (in large quantities for international companies). The programming model developed by “Deep Seck” says artificial intelligence can automatically generate codes. ” Artificial intelligence -based programming assistant, who has already caused a stir in the developer community, is expected to become more advanced in the coming weeks and months. With the help of such instruments, a small and highly competent part of 5 million programmers in India will grow up. But for the majority it will be a bad news. Locally developed artificial intelligence models, if their costs are cheaper than its foreign counterparts, its dependence will increase faster. Increasing efficiency in different industries will accommodate people who lose their programming opportunities. Providing new and advanced instruments in the hands of more than 2.5 million graduates and doctoral containers annually in the field of science, technology, engineering and medicine can lead to achievements that contribute to the strengthening of the economy. This is the link that policymakers refuse to see. The $ 1.2 billion that New -Delhi met for the artificial intelligence initiative in India last year is only a small part of a $ 24 billion support program for manufacturers. Nearly two years have passed since Sam Altman was asked at a conference whether an Indian startup can build a basic model, trained on big data collections and are able to implement various applications for $ 10 million. The founder of “Open II” said that such a project (the development of a fundamental artificial intelligence model in India) would be “completely impossible”. It is, of course, that Altman says that- no one wants to develop the second largest market in terms of the number of users (India), models in which the products of its business compete. But what does the lack of confidence on the Indian side explain? Even with the ‘Deep Seck’ for the lie of ‘Silicon Valley’ for costs, Indian technology companies are reluctant to take a serious step in developing basic models of obstetrician artificial intelligence because success is not guaranteed. There are some investments aimed at adjusting the current models to handle local languages, but foreign alternatives that will provide the same capabilities in the Indian language, in addition to many other functions on this efforts, are according to Nilesh Jasani of “Gennov”, a global innovation box in Singapore. Also read: “Deep Seck” leads the global downloads, powered by the acceptance of users in India, China has increased its part of lure of leading world talent in the field of artificial intelligence to 47% compared to 18% for the United States. India represents 5% of advanced talents in artificial intelligence, as most of its talents eventually migrate to the United States. Multinational companies such as “Ge Aerospace” conduct advanced applied research in India using local engineering talents. But there is simply no supporting environment for deep basic research, and there is no urgent need to meet it. This is the situation eight years after a team of researchers at Google develops the structure of the language processing on which current models depend. The title of their research article was “interest is all you need” (the mechanism of interest alone is sufficient to understand the relationships between words and address them with high effectiveness). It is clear that local technical policymakers have not paid sufficient attention to the potential of technology, although two of the eight scientists participating in the pioneering project of Indian origin. If the public sector does not receive sufficient attention, the private sector has not shown a serious intention to invest in the field of artificial intelligence. Also read: “Inviteia” is working with Ambani to create an artificial intelligence center in India, Moche Ambani, the richest man in India, recently announced that it will build the largest data center in the world. Ambani buys chips from “Invidia”, which will be needed to train artificial intelligence models. The infrastructure alone will not suffice. Achieving progress in developing artificial intelligence models to treat human language requires hundreds of efforts to build models, each costing a few million dollars. The outskirts of the software in Bangaluru, Indian Silicon Valley, must have been at the forefront of this initiative because of the threat posed by obstetric intelligence on their basic activity to write the programming instructions for international enterprises. However, these businesses are not excited to take daring bets. The current activity still gives senior shareholders who reward returns out of profits and shares purchase, while targeting small amounts on new investments. Indian businesses do not tend to take major bets in the field of artificial intelligence. The prevailing belief about 20 years ago was that India would be the next China after about a decade. Some at the time wrote books about China and India (Cindy). At the time, the financial sector in South Korea launched investment funds that cover the two largest countries in terms of the population as one investment opportunity. After two decades, much of the comparative illusion of comparison remains. While India is interested in improving its basic infrastructure such as electricity and roads, China was able to expand the gap between the two economies by increasing its technological superiority. The path of its global dominance, which was ten years ago, is limited to a few industries such as drones and solar panels, which are expanded to electric cars and high -speed trains, and now artificial intelligence of the gym. So, when Indian technology companies say they will benefit from the increasing acceptance of artificial intelligence by developing digital assistants dedicated to international enterprises, they ignore the inevitable development of obstetric artificial intelligence to general artificial intelligence. (A higher level of intelligence can perform the tasks of the human spirit over various areas). Models competing with human cognitive abilities can handle most of the programming tasks alone. Whether it is ‘oben ai’ or ‘deep cick’ that will achieve it, or another model may occur that surpass them and reach the goal first. Also read: The journey to develop artificial intelligence. Countries whose light and others shine to enter the country in South Asia permanently artificial intelligence instruments as they must own basic technologies, which must be developed with large government support for universities and research institutions. The maximum priority is compared to the rest of the business. India’s technical policymakers must be free from defeat and realize the size of the challenge they face in the artificial intelligence breed. Attention to technology and modern developments is the decisive factor in success.