Natural Language Processing Quotes

Think of ChatGPT as a blurry JPEG of all the text on the Web. It retains much of the information on the Web, in the same way that a JPEG retains much of the information of a higher-resolution image, but, if you’re looking for an exact sequence of bits, you won’t find it; all you will ever get is an approximation. But, because the approximation is presented in the form of grammatical text, which ChatGPT excels at creating, it’s usually acceptable. You’re still looking at a blurry JPEG, but the blurriness occurs in a way that doesn’t make the picture as a whole look less sharp.

I think AI is the new electricity. Whatever industry you work in, AI will probably transform it, just as 100 years ago the rise of electricity transformed industry after industry—everything from transportation and communications to manufacturing to health care.

The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.

Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.

Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine.

When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.

I came in as an engineer and worked on artificial intelligence at Google. I worked on related sites and matching advertising to queries with some of our earliest ads.

Even though chess isn't the toughest thing that computers will tackle for centuries, it stood as a handy symbol for human intelligence. No matter what human-like feat computers perform in the future, the Deep Blue match demands an indelible dot on all timelines of AI progress.

Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.

There's a very long tail of all sorts of creative products - beyond our core web search, image search and advertising businesses - that are powered by deep learning.

It's paradoxical that things that are hard for people are easy for the computer, and things that are hard for the computer, any child can understand.

The revolution in AI [artifical intelligence] has been profound. It surprised me, even though I was sitting right there.

I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.

I thought the best place to advance the AI mission is at Baidu.

Asking Siri where the nearest sushi bar is - that's not interesting. What's interesting is asking your phone where one of your friends have last had dinner in the neighborhood, or having it recommend a cool paella place in Barcelona because it knows you eat paella all the time at home.

In A.I., the holy grail was how do you generate internal representations.

I'd rather see artificial intelligence than no intelligence.

I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.'

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

More than 500 million years ago, vision became the primary driving force of evolution's 'big bang', the Cambrian Explosion, which resulted in explosive speciation of the animal kingdom. 500 million years later, AI technology is at the verge of changing the landscape of how humans live, work, communicate, and shape our environment.

Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.