“LLMs to Become Obsolete in 5 Years” Future of AI Discussed in MSIT Symposium

"LLMs to Become Obsolete in 5 Years" Future of AI Discussed in MSIT Symposium

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The Ministry of Science and ICT (MSIT) revealed that recent artificial intelligence (AI) research successes were shared and plans for international cooperation were sought in ‘Global AI Frontiers Symposium 2025, hosted by the ministry in Seoul Dragon City, Yongsan-gu, Seoul, on the 27th.

The symposium was joined by AI scholars and researchers taking part in the National AI Research Hub and the Global AI Frontier Lab of New York University, an institute dedicated to Korea-US joint AI research. The experts discussed topics such as the future vision for AI and AI security/credibility.

In Part One of the symposium, Yann LeCun, co-director of the Global AI Frontier Lab and head AI scientist of Meta, and Yejin Choi, professor of the Human-Centered Artificial Intelligence (HAI) lab at Stanford University, gave keynote speeches about ‘Training World Models’ and ‘Democratizing Generative AI by Transcending Scaling Laws’, respectively.

LeCun emphasized that “the now-prominent large language models (LLMs) will become obsolete within five years, and we must research AI capabilities inaccessible by LLMs”.

“It is inaccurate to use the term ‘artificial general intelligence’ (AGI) to describe AI whose capabilities are on par with those of humans. It’s not feasible to lump together the intelligence of each human being as something ‘general’,” LeCun stated. “We need to look into advanced machine intelligence (AMI) that can stand face-to-face against humans in certain fields, like what we saw from AlphaGo back in 2016.”

Prof. Choi also said that ‘the age of training AIs just by feeding it unrefined data is over,” and that “the hypothesis that larger magnitude LLMs are always better is also being taken under scrutiny.”

“Instead of simply scaling the AI by expanding the training GPU size, we may require new strategies and approaches to improving AI. In the intermediate run, we may need more investments into fundamental research,” she said.

She also emphasized that “from the perspective of possession, AI must be possessed by humans under values and characteristics of the human society, and must be developed and maintained not by a few companies, nations, or powerful people, but by all people across the globe.”

She then stated that her research center, Stanford’s HAI lab, is open for collaboration with Korea.

The speeches were followed by the AI Experts Roundtable, moderated by Kyunghoon Bae, Deputy Prime Minister and Minister of Science and ICT, and joined by Prof. LeCun, Prof. Choi, Kyunghun Cho, professor at NYU, and Kee-Eung Kim, professor at KAIST.

LeCun said in the roundtable that he “was impressed by the decision to appoint an AI scientist as the deputy prime minister, something unseen anywhere else in the world,” when talking about Korea’s AI policies.

He also advised that “in the near future, where humans receive all sorts of information through AI agents, it is necessary that AI is not controlled by a few select corporations, but that at least the base model is left as open source.”

In Part Two, the National AI Research Hub and the Global AI Frontier Lab shared their collaborative works, and recent trends in state-of-the-art AI applications in healthcare and robotics were presented to the audience.

Global AI Frontier Lab will host a workshop on the 28th and 29th to discuss research roadmaps for key AI algorithms, AI credibility and responsibility, and AI healthcare.

Bae stated that [MSIT?] “plans to focus on the establishment of a global AI research cooperation ecosystem to further strengthen the international competitiveness of domestic AI research.”

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