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AI Research Restrictions: Google and OpenAI limit public releases amid growing competition

Google and OpenAI, AI industry leaders, plan to limit public sharing of their research as AI competition intensifies.

Both Google and OpenAI have decided to limit the accessibility of their AI research due to their involvement in the highly competitive race to deploy new AI applications. 

Growing Competition In The Field Of AI

This competition could become even more intense as smaller up-and-coming companies gain insights from publicly available AI research. Google, having been a prominent leader in the field of AI, has published numerous AI studies through Google Research since 2019. 

However, it was taken aback by the overwhelming interest in OpenAI’s ChatGPT AI-powered chatbot upon its initial release last autumn.  The subsequent launch of an enhanced and more advanced version of the generative AI bot in March further highlighted its capabilities.

Partly due to concerns that the development of ChatGPT may have benefitted from information contained in AI-related academic papers published by Google Research, the company announced a policy change earlier this year regarding the release of AI studies.

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Utilizing Research For Google’s Advancements

ai-research-restrictions-google-and-openai-limit-public-releases-amid-growing-competition
Google and OpenAI, AI industry leaders, plan to limit public sharing of their research as AI competition intensifies.

 

Under this new policy, Google researchers will only publish AI research papers after incorporating the findings into the company’s own products. 

This ensures that the research is utilized for Google’s advancements before being made available to the wider public, as reported by the Washington Post citing sources familiar with the announcement.

In an interview, Ilya Sutskever, co-founder of OpenAI, expressed the view that while the company collaborates with academic and research institutions to establish protective measures, sharing research more broadly was deemed “wrong.” 

This cautious stance stems from the concern that such broad sharing could potentially enable AI to eventually reach the level of artificial general intelligence (AGI) equivalent to human intelligence.

While the fear of providing competitors with an advantage is a significant deterrent to sharing AI research, there are other factors that contribute to this decision.

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