Ai Limitations Quotes

Since the beginning of the computer age, there has been immense development in computer intelligence but exactly zero development in computer consciousness.

Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.

And I think the greatest danger that AI poses isn't so much these anthropomorphic beings who look like us and are beguiling are going to fool us. It's the fact that a intelligence without a body or corporeal form will fool us into trusting it with data, which we seem to think is... it has no repercussions.

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

I think what's really amazing is that given the scale of the web and getting the compute power we have today, we're starting to see things that appear intelligent but actually aren't semantically intelligent.

To say that AI will start doing what it wants for its own purposes is like saying a calculator will start making its own calculations.

The self driving car is not self-aware. It's just driving; it's not thinking.

The difference between current AI, large language models so-called, things like ChatGPT and GPT-4, is that their goal is truthiness, not truth. They are more like historical fiction writers than historians.

Sometimes it seems as though each new step towards AI, rather than producing something which everyone agrees is real intelligence, merely reveals what real intelligence is not.

The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence.

Even a cat has things it can do that AI cannot.

Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.

The strange flavour of AI work is that people try to put together long sets of rules in strict formalisms which tell inflexible machines how to be flexible.

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

We live in a world where all the parts of a robot are very cheap, yet we don't have a lot of robots. And the thing that has been missing has been good enough Artifical Intelligence.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

There's a long history of artificial intelligence programs that try to mimic what the brain is doing, but they've all fallen short.

You could have all the computer chips ever in the world and you won’t create a consciousness.

The real use of AI in industry is generally for very narrow pattern-matchers - a better search algorithm, an object-detection algorithm, etc. These things are tools which we can use - for good or evil. But they're nothing like self-aware beings.

There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.

Is artificial intelligence less than our intelligence?

Deep learning doesn't shine.

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.

Machine intelligence of a human nature could be a century away, and immortality is at least a millennium away, if not unattainable altogether.

There is a lot of work out there to take people out of the loop in things like medical diagnosis. But if you are taking humans out of the loop, you are in danger of ending up with a very cold form of AI that really has no sense of human interest, human emotions, or human values.