A New Horizon for AI: Towards More Intelligent and Autonomous Systems | Best course on large language models | Large language model certification | Best llm models | Turtles AI

Yann LeCun, chief AI scientist at Meta, predicts within five years a new paradigm for AI, overcoming the current limitations of LLMs. This will be accompanied by a revolution in robotics, promising more advanced and intelligent applications.

Key points:

• New AI paradigm: within 3-5 years, systems more advanced than current language models will emerge.
• Overcoming limitations: current generative AI is useful but lacking in physical understanding, memory, reasoning and planning.
• World models: future AI systems will integrate common sense and understanding of real-world dynamics.
• Decade of Robotics: AI and robotics will converge to develop intelligent and versatile machines.

According to Yann LeCun, a key figure in AI in Meta, the current technological landscape is set to change profoundly in the coming years. The expert predicts that within three to five years, the dominant approach in AI will undergo a radical evolution. Current large language models, while demonstrating utility in various domains, are deemed insufficient to achieve authentic intelligence. LeCun highlights four crucial limitations: the inability to fully comprehend the physical world, the absence of persistent memory, the lack of reasoning skills, and the inability to plan in complex ways. These flaws, according to the scientist, make LLMs unsuitable as the basis for future AI systems. The idea of a new paradigm revolves around the concept of “models of the world,” which would allow machines to develop understanding and common sense by acquiring knowledge through observation and interaction with the real world.

LeCun also pointed out that this transformation could mark the beginning of the “decade of robotics.” Joint advances in AI and robotics could give rise to devices capable of understanding and interacting with the physical world in ways not yet thought possible. Current generative AI, despite successes in passing complex tests or accelerating scientific research, is far from the versatility of a simple animal, such as a cat, that possesses a natural understanding of its environment. OpenAI, for example, is already investing in the development of adaptive, generative robots that aspire to human-like practical intelligence.

According to LeCun, these systems, built on models of the world, may eventually overcome the limitations of current technologies, introducing a completely new approach to AI.

This scenario, still evolving, reflects a vision that, if realized, could redefine the frontiers of technology and robotics in the near future.