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AI Legend Says LLM Have 1000 More Info Than a Person

Geoffrey Hinton is the godfather of modern neural network AI which is the basis of Large Language Models like Palm-2 and GPT-4.

Saying these digital computers are better at learning than than humans um which itself is is a huge claim.

Hinton also argue that that’s something that we should be scared of.

You can have many copies of the same model doing many different things. The data is different but the models are the same.

What that means is that they can be looking at ten thousand different copies of the data. Whenever one of them learns anything all of the others learn it too.

They were already learning faster and more efficiently and now they are learning ten thousands times more.

They can learn more things, more quickly and they can teach other nearly instantly.

Hinton is concerned about superintelligence manipulating people and taking control.

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.

Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.

A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts.  He is open to public speaking and advising engagements.

Category: Science

Source: Next Big Future

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