One of the modern artificial intelligence “Godfather” predicts further revolutions of technology by the end of 10 years, and the current system is restricted to create a completely automated car. It is said that it is restricted.
Yann Lecun, the chief AI scientist of Mark Zuckerberg’s meta, said that a new breakthrough needs a system to understand and interact with the system.
Lecun spoke as one of the seven engineers who were awarded the 500,000 Pounds of Queen Elizabeth Award for engineering on Tuesday, contributing to machine learning, the foundation of AI.
The recent breakthrough, led by Openai’s Chatgpt chatbot, has raised expectations and fears of systems that acquire human -level intelligence.
However, Lecun said that there was some way before AIS matched humans and animals. The current state -of -the -art technology is excellent in “manipulating language”, but does not understand the physical world.
“There are still many scientific and technical issues, and it is very likely that another AI revolution will occur in the next three to five years for the current system restrictions,” he said. “If you want to make something like a domestic robot or completely autonomous car, you need a system to understand the real world.”
LECUN is working on a system to “understand” physical reality by forming a model that can predict how the world behaves. He describes the current progress of AI: If you get a system that is as smart as cats and rats, it will be a victory. “
However, Joshua Benguio, a winner of Cepriz, a friend of Lecun, and AI, “Godfather”, warns that the safety of technology requires further progress, and has a problem with the global AI Summit in Paris next week. I called for understanding.
“The leaders of this world want to understand the size of what we are doing. Power,” he said.
In 2018, Benguio and Lekan shared Geoffrey Hinton, a QEPRIZE winner on Tuesday, and a Turing Award equivalent to the Nobel Prize for Computing. The award will take place after the AI Pioneer won two Nobel Prize last year. They contained Hinton, a US physicist John Hopfield, another winner of this year, and a chemical prize winner that shared Nobel for physics.
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Machine learning is a core process in AIS development. Instead of being directly instructed, the computer analyzes the data, and then “learns” by making decisions or predictions based on information.
Another winner of Qeprize in 2025 is as follows. An important dataset to recognize Objects, an important dataset for training AIS, a Chinese computer scientist who created FEI-FEI LI and Imagenet. Jensen Huang, the highest executive of Jensen Huang and NVIDIA, is a lead maker of chips used in the operation and training of the AI system. Bill Darry, the chief scientist of NVIDIA.
QEPRIZE FOUNDATION and Patrick Vallance, the Minister of Science in the UK, stated that the impact of machine learning was felt throughout the industry, economy, and planets. The annual award recognizes that innovation has a significant impact on billions of lives around the world.
