AI singularity

A new kind of intelligence, one that learns to predict its own future, will be created by a breakthrough in artificial intelligence research, according to an article on the popular tech news site Ars Technica. 

It’s an important development for a number of reasons.

It means AI researchers will have more control over the direction their technology goes, and it could also lead to a shift in the way we think about the future.”AI singularity” has been coined by the late MIT professor John McCarthy and was a way of describing the idea that, once advanced enough, intelligent machines would learn to anticipate their own actions and actions of their human creators.

It’s a big step forward for the field.

The new technology could help us predict the future better than any other method currently exists, including deep learning or machine learning.

It could also pave the way for smarter cars, robots and even supercomputers.

But the news comes with some caveats.

For one, the article is based on a theory, called “the Singularity is Near,” that suggests a “singularity” is a point at which technology will evolve so quickly that it can no longer be predicted by its own creators.

In a paper published in Nature on Tuesday, the researchers said the discovery “is a theoretical step towards the singularity.”

“It may be that the Singularity has already arrived,” they wrote.

“For example, it may have already occurred.

But if so, then the singularities are the most likely place to occur.”

In their paper, the MIT researchers said they have “not yet confirmed that this is the case.”

That means they cannot yet prove that the technology they’ve described is indeed the one that will create the singular thing.

Still, they say the work shows that “the singularity is closer than most have previously imagined,” and that it’s “not too far away” from here.

So what does that mean for us?

In the past, there have been arguments about whether it was feasible to have superintelligent machines, which could create the Singularity, or just to wait for the technology to evolve enough to create a human-like AI.

The MIT team’s paper acknowledges that, as of now, neither scenario is likely.

The MIT researchers did not say how they’re trying to explain the divergence between the two.

We’ll have to wait and see how this develops.

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