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AI pioneer Geoffrey Hinton, who warned of X-risk, wins Nobel Prize in Physics








Geoffrey E. Hinton, a leading artificial intelligence researcher and professor emeritus at the University of Toronto, has been awarded the 2024 Nobel Prize in Physics alongside John J. Hopfield of Princeton University.

The Royal Swedish Academy of Sciences has awarded both men the prize of 11 million Swedish kronor (approximately $1.06 million USD), to be shared equally between the laureates.

Hinton has been nicknamed by various outlets and fellow researchers as the “Godfather of AI” due to his revolutionary work in artificial neural networks, a foundational technology underpinning modern artificial intelligence.

Despite the recognition, Hinton has grown increasingly cautious about the future of AI. In 2023, he left his role then at Google’s DeepMind unit to speak more freely about the potential dangers posed by uncontrolled AI development.

Hinton has warned that rapid advancements in AI could lead to unintended and harmful consequences, including misinformation, job displacement, and even existential threats — including human extinction, or so-called “x-risk.” He has expressed concern that the very technology he helped create may eventually surpass human intelligence in unpredictable ways, a scenario he finds particularly troubling.

As MIT Tech Review reported after interviewing him in May 2023, Hinton was particularly concerned about bad actors, such as authoritarian leaders, who could use AI to manipulate elections, wage wars, or carry out immoral objectives. He expressed concern that AI systems, when tasked with achieving goals, may develop dangerous subgoals, like monopolizing energy resources or self-replication.

While Hinton did not sign the high-profile letters calling for a moratorium on AI development, his departure from Google signaled a pivotal moment for the tech industry.

Hinton believes that, without global regulation, AI systems could become uncontrollable, a sentiment echoed by many within the field. His vision for AI is now shaped by both its immense potential and the looming risks it carries.


Website: International Research Awards on High Energy Physics and Computational Science.

#HighEnergyPhysics#ParticlePhysics#QuantumPhysics#AstroparticlePhysics#ColliderPhysics
#HiggsBoson#LHC#QuantumFieldTheory#NeutrinoPhysics#PhysicsResearch#ComputationalScience
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