Artificial intelligence pioneer Yann LeCun warns: Silicon Valley is heading towards a dead end

One of the world's most influential artificial intelligence researchers, Yann LeCun, has stated that most technology companies have chosen the wrong path in their quest to create truly intelligent machines. In his opinion, the industry has focused too much on large language models, which underpin chatbots such as ChatGPT, and this could lead it into a dead end.

LeCun spoke about this in an interview with The New York Times after leaving his position as chief artificial intelligence scientist at Meta in November.

Yann LeCun is a winner of the Turing Award, often referred to as the "Nobel Prize of computer science," and one of the founders of neural networks, a technology that has become the foundation of modern AI. However, he emphasises that language models have natural limitations and are not capable of creating artificial general intelligence or superintelligence.

"There is a herd effect in Silicon Valley — everyone is working on the same thing. This leaves almost no room for alternative approaches that may be more promising in the long run," the researcher noted.

LeCun is convinced that current AI systems are unable to plan actions and do not have a true understanding of the real world, as they learn exclusively from digital data. That is why, according to him, they often make mistakes that accumulate as the complexity of tasks increases.

After leaving Meta, the scientist founded his own company, Advanced Machine Intelligence Labs (AMI Labs), where he is working on alternative approaches to AI development — systems capable of predicting the consequences of their actions and making more informed decisions.

At the same time, LeCun warns that American companies may lose their advantage in the global race, in particular due to the departure from open research. In his opinion, it is openness that allows the industry to develop faster, while closedness can play into the hands of competitors, particularly from China.

"It's a disaster. If everyone works openly, the whole field moves forward much faster," he said.

Despite the criticism, other experts acknowledge that language models continue to show progress in mathematics, programming, and science. However, the debate over whether they are capable of creating true intelligence remains open.

Artificial intelligence, Yann LeCun, Silicon Valley, ChatGPT, Meta, neural networks, The New York Times.