
"Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, warns that artificial intelligence is entering a phase that goes far beyond productivity tools and assistance. Over the next decade, AI could fundamentally reshape how people work and earn, potentially eliminating large portions of remote, cognitive jobs as machines take on tasks once reserved for human knowledge workers."
"Shane Legg argues that human intelligence does not represent an upper limit for machines. "I think absolutely not," he said when asked whether AI would be capped at human-level ability. With data centres operating at near-light speed, consuming vast amounts of power and processing information at scales no human brain can match, Legg stressed that machines are structurally positioned to surpass humans, and that this shift is no longer theoretical."
"Legg noted that AI systems are already outperforming humans in areas such as language and general knowledge, and believes their current weaknesses will steadily disappear. "My expectation is over a number of years these things will all get addressed," he said, pointing to improvements in reasoning, visual understanding and continual learning. As AI moves toward professional-level capability in coding, mathematics and complex knowledge work, the future of remote jobs begins to look increasingly fragile. He offered a stark assessment of which roles are most exposed: "If you can do the job remotely over the internet just using a computer, then that job is potentially at risk.""
Artificial intelligence is entering a phase that exceeds simple productivity tools and assistance, with the potential to transform how people work and earn. Remote, cognitive jobs performed over the internet are particularly vulnerable as machines take on tasks traditionally done by knowledge workers. Machines are structurally positioned to surpass human intelligence due to massive data centre speed, power, and processing scale. AI already outperforms humans in language and general knowledge, and weaknesses in reasoning, visual understanding, and continual learning are expected to be addressed. As AI reaches professional-level coding, mathematics, and complex knowledge work, many remote roles face significant risk.
Read at Mashable India
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