Russian Academician: Focus on Applied AI Models Instead of Competing with China and the US

Russian academician: Russia should not compete with China in the development of application models for artificial intelligence!

"Competing with the United States and China" is "completely useless".

An article published by TASS on June 16th.

Igor Kalyaev, one of the leading experts in computer technology at the Russian Academy of Sciences, stated that Russia should not compete with the United States and China in the development of general artificial intelligence based on large language models (LLMs), but should focus on creating applied artificial intelligence models to solve practical tasks.

Trying to create a universal LLM capable of solving all problems is a dead end.

We should honestly recognize that competing with the United States and China in this situation is absolutely useless because we do not have their economic capabilities and cannot invest hundreds of billions of rubles to create a super LLM.

Of course, we must also learn to cooperate in development.

At the same time, Academician Kalyaev pointed out, "This does not necessarily mean that we need to stop all scientific research work in the field of creating new mechanisms for LLMs and their original models."

"On the contrary, these R&D efforts need to be developed and expanded in various ways, which will enable us to compete with foreign models in almost important tasks such as science, technology, industry, defense, and security."

A general-purpose large language model (General-purpose Large Language Model, LLM), refers to a deep neural network model trained on massive diverse text or multimodal data. It can be transferred and applied across multiple fields and tasks without the need to design a separate model for each task.

Source: https://www.toutiao.com/article/1835041328572612/

Disclaimer: The article represents the personal views of the author.