Machine Learning, ML Quotes

Thou shalt not make a machine in the likeness of a human mind.

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.

With artificial intelligence, we are summoning the demon. In all those stories where there is the guy with the pentagram and the holy water, … he’s sure he can control the demon. But it doesn’t work out.

The computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation.

The real danger is not that computers will begin to think like men, but that men will begin to think like computers.

In the entire history of the human species, every tool we've invented has been to expand muscle power. All except one. The integrated circuit, the computer. That lets us use our brain power.

Humanity will be obsolete by 2050. This is the consensus at Google and Facebook and Twitter.

We're making this analogy that AI is the new electricity. Electricity transformed industries: agriculture, transportation, communication, manufacturing.

I have never seen a human being who more perfectly represented the modern conception of a robot.

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.

Algorithms are opinions embedded in code. It’s really different from what you think most people think of algorithms. They think algorithms are objective and true and scientific. That’s a marketing trick. It’s also a marketing trick to intimidate you with algorithms, to make you trust and fear algorithms because you trust and fear mathematics. A lot can go wrong when we put blind faith in big data.

You have to imagine a world in which there's this abundance of data, with all of these connected devices generating tons and tons of data. And you're able to reason over the data with new computer science and make your product and service better. What does your business look like then? That's the question every CEO should be asking.

But if the technological Singularity can happen, it will.

The purest case of an intelligence explosion would be an Artificial Intelligence rewriting its own source code. The key idea is that if you can improve intelligence even a little, the process accelerates. It's a tipping point. Like trying to balance a pen on one end - as soon as it tilts even a little, it quickly falls the rest of the way.

All models are wrong, but some are useful.

I visualize a time when we will be to robots what dogs are to humans. And I am rooting for the machines.

Elon Musk, Stephen Hawking, and others have stated that they think AI is an existential risk. I disagree. I don't see a risk to humanity of a 'Terminator' scenario or anything of the sort.

As AI becomes the new infrastructure, flowing invisibly through our daily lives like the water in our faucets, we must understand its short- and long-term effects and know that it is safe for all to use.

Science and technology is going to change every day for the rest of your lives.

I don't think the robots are taking over. I think the men who play with toys have taken over. And if we don't take the toys out of their hands, we're fools.

The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths. Its province is to assist us to making available what we are already acquainted with.

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.

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.

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.

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.