Meta’s chief AI scientist Yann LeCun has once again expressed skepticism about AI reaching advanced or human-level intelligence in the near future, going against the claims of some more optimistic tech leaders. At a recent media event in San Francisco organized by Meta, LeCun highlighted the 10th anniversary of its Fundamental AI Research team.
Contradicting Nvidia’s CEO Jensen Huang, who believes that artificial general intelligence will likely be achieved in the next five years, LeCun scoffed at the idea and pointed out that the AI hype is a means for companies to profit by selling chips.
LeCun explained that AI will reach “cat-level” or “dog-level” intelligence years before it achieves human-level intelligence. He expressed concern that AI is being trained on language models and text that is insufficient to create advanced AI, stating that text is a poor source of information. Despite being trained on the equivalent of 20,000 years of reading material, AI systems still do not understand basic concepts.
In a similar sentiment expressed earlier at a conference in June, LeCun stated that AI wasn’t even as smart as cats or dogs yet, and its capabilities are limited. He also dismissed fears about AI taking over humanity, calling such predictions “preposterously ridiculous” and overstated.
I have over 10 years of experience in the cryptocurrency industry and I have been on the list of the top authors on LinkedIn for the past 5 years. I have a wealth of knowledge to share with my readers, and my goal is to help them navigate the ever-changing world of cryptocurrencies.
