Geoffrey Hinton, also known as the Godfather of AI, will receive the Nobel Prize in 2024 alongside John Hopfield in Physics. Geoffrey, who left Google due to ethical concerns and Hopfield will be awarded for their incredible contributions that enable machine learning with artificial neural networks.
Interestingly, he later become critical about generative AI and mentioned his fear that it could provoke fake news and can wipe out jobs.
Pioneering Neural Networks: Why The Godfather of AI Gets the Nobel
Hinton won the Nobel Prize for developing the Boltzmann machine, an artificial recurrent neural network machine that can recognize data properties without external supervision.
His innovation has paved the way for significant developments in image classification and advanced data analysis, resulting in the foundational work for many modern AI applications.
The Nobel Prize Committee also tweeted the same “thanks to their work humanity now has a new item in its toolbox, which we can choose to use for good purpose.”
Boon Felt Like Curse…! Why Hinton Left Google…?
Hinton left Google’s deep learning AI team Google Brain in May 2023. After ten years of long service due to his growing concerns over the harmful effects of machine learning on society.
He expressed his regret about his contributions towards AI development and now wanted to speak freely about its dangers and lack of ethical responsibilities.
Ironically, he is now receiving the highest prize in the field of physics for the same work. Even Alphabet’s CEO Sundar Pichai also congratulated him.
The Future is Dangerous: Hinton’s Warning About the Next-Gen AI
Hinton worried that with time, AI will outclass human intelligence, and this will have serious consequences. The effects will range from potential job loss to fake news. And AI-powered advanced autonomous weapons that if fallen into wrong hands can create havoc.
In Conclusion: Will The Godfather of AI Getting Nobel Raise a New Debate?
Mr. Geoffrey, the Godfather of AI, winning the Nobel Prize. Defines his hard work and constant efforts in the field of machine learning. However, it also presents a crucial viewpoint to discuss its ethical delusions.
As he continues to express his concerns, it will be interesting to see how things will unfold around artificial intelligence.
