Yann Lancône, a prominent artificial intelligence scientist and one of the key figures who contributed to the development of the fundamental technologies of modern artificial intelligence,
has directly criticized the growing global trend towards relying on massive language models.
He stressed that it is not the right path towards developing
artificial intelligence capable of true understanding.
Lancon is considered a pioneer in the development
of convolutional neural networks, a technology
Which paved the way for the current breakthroughs in the field of artificial intelligence.
Universal fascination
However, Lancône argues that advanced language models such as GPT,
Despite its impressive capabilities in producing texts and understanding language,
it remains limited by the framework of statistical prediction.
It does not possess a true understanding of the world
or the ability to make logical deductions.
According to the Wall Street Journal, Lancône warns that the world’s fascination with these models
This has led researchers and companies to neglect more important research paths.
Such as building cognitive systems capable of learning from experience
and interacting with the environment,
In his opinion, it is the true basis for achieving general
artificial intelligence similar to human capabilities.
Artificial Intelligence Community
Lancône emphasizes that massive language models, despite their successes,
are merely a transitional step in a longer journey.
Developing advanced artificial intelligence requires new approaches
that focus on deep understanding.
Causal learning, and the ability to adapt to the surrounding world.
Analysts believe that Lancône’s statements reopen the debate
within the AI community about the limitations of current models.
And whether the future of artificial intelligence should continue
to depend on expanding these models,
Or the search for new cognitive structures that possess
more realistic thinking capabilities.
