Nobody in their right mind will use genAI, LLMs in the next 5 years: Meta chief AI scientist Yann LeCun

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At the World Economic Forum in Davos, Yann LeCun, Meta’s Chief AI Scientist, made bold predictions about the future of artificial intelligence. Speaking on the state of AI today, LeCun declared that the generative AI (GenAI) and large language models (LLMs) we rely on now have a limited lifespan, estimating that within the next three to five years, they will become obsolete.

According to LeCun, the AI we use today is rudimentary at best. While it excels at basic tasks, it lacks essential capabilities such as reasoning, complex planning, continuous memory, and an understanding of the physical world. "The shelf life of the current [AI] paradigm is fairly short, probably three to five years," he stated, hinting at a major shift in AI architectures on the horizon.

The Decade of Robotics

LeCun envisions the next few years ushering in the "decade of robotics," where advancements in AI and robotics will converge. He foresees new AI systems capable of building mental models of the world and interacting with it intelligently. If Meta’s plans progress as expected, LeCun believes these systems could exhibit common sense, learn from observation, and adapt dynamically within three to five years.

What’s Holding Current AI Back?

LeCun identified four critical limitations of today’s AI models:

1. Lack of physical world awareness: Current systems cannot comprehend or interact with the physical environment effectively.

2. Limited memory: Existing AI lacks continuous memory, restricting its ability to build on past knowledge.

3. Insufficient reasoning capabilities: The models can process language but struggle with logical reasoning.

4. Inability to perform complex planning: AI falls short when it comes to executing multi-step tasks that require foresight.

Despite these challenges, companies like OpenAI and others are already exploring ways to bridge these gaps. For instance, OpenAI recently introduced an agent called "Operator" capable of performing complex, multi-step tasks like booking flights or managing grocery shopping lists.

A Paradigm Shift in AI

LeCun predicts that the next wave of AI innovation will replace today’s generative AI with systems that operate under a completely different paradigm. These systems could overcome the limitations of current models and revolutionize fields like robotics, healthcare, logistics, and more.

While this “AI revolution” may take a decade to fully unfold, the pace of progress suggests we might see breakthroughs much sooner. For now, though, LeCun believes we are only scratching the surface of AI’s potential.

As the technology continues to evolve, it will be fascinating to see how this predicted shift in AI architecture reshapes industries and our daily lives.