Everybody is predicting new things with AI. Some say it’s fun while some say it’s the end of all. But truth to be told, even experts believe that AI is set to doom humanity real soon.
British – Canadian Cognitive Psychologist and AI Scientist Geoffrey Everest Hinton, well-known for his work in artificial neural networks (ANR) has joined the discussion on how AI poses a danger to humans.
In 2012, at the University of Toronto, Hinton and his graduate students created a tech that led the way for AI systems for big tech companies. Fast-forward to 11 years, the man says it’s time to step back from AI.
The Scientist reportedly resigned from his job at tech giant Google. Hinton had an experience with Google Brain from 2013, being one of the most prominent figures in the field.
During an interview in Toronto, Hinton said, “I console myself with the normal excuse: If I hadn’t done it, somebody else would have.” He made this statement right next to the place where he had made the AI breakthrough.
Perhaps, it’s a remarkable and unforgettable moment in the AI industry, as the godfather himself has shown the inflexion point in the technology industry. The early innovation of the internet in the 90 was where popular for its massive breakthrough. Industry innovators now believe that AI is the new generation of the present era.
Many AI research scientists have led to breakthroughs in areas ranging from drug research, which in turn helps the medical industry in curing new medicines and cures for diseases around the globe. The Internet has indeed helped plenty of us in our day-to-day lives but had its own repercussions. Similarly, AI can be filled with cons as well.
Today, AI can be a risk to employees. Tomorrow, it can be our own lives.
When OpenAI released the new version of ChatGPT last month, over 1,000 tech researchers and leaders signed an open letter calling for a six-month moratorium on the development of these systems as AI technologies pose “profound risks to society and humanity.”
In a statement, Jeff Dean, Google’s chief scientist said, “We remain committed to a responsible approach to AI. We’re continually learning to understand emerging risks while also innovating boldly.”
Hinton was the one who had worked on the concept of neural networks, back when he was just a graduate from the University of Edinburgh in 1972. In simple terms, a neural network is a mathematical system that can learn skills on its own, majorly by analyzing data. Many AI systems today solely rely on neural networks to train loads of data to generate the same into information