Re:Python rounds float values by converting them to string a...
by olooney on Thursday August 29, 2019 @04:15PM
(#20833191)
I punched "It's actually pretty simple" into http://talktotransformer.com (which generates nonsense text from a seed using an OpenAI language model) and after a couple of tries it gave me this:
> It's actually pretty simple. We'll be looking at something called the "D-Wave P-500", which is a version of the P500 chip for quantum computers.
> It's basically a single bit computer, but with more than 500 qubits. Which means that our "real number" will have more numbers than the number of qubits that are available. That's really important.
> Quantum computers are theoretically able to do more things than just solve equations. For example, the way that a quantum computer uses energy from an electron to solve a classical math problem, or the way that it can break a complex calculation into smaller bits of information that each can solve on its own, is very different from how computers currently work.
> But I am not suggesting that a quantum computer can be used to solve more abstract problems. Because that would be crazy.
> But to give an example of what it could do, imagine doing a number crunching function that was 10× faster than a classical chip, and that had some really useful, and practical things that would be interesting to try.
Because Talk to Transformer is trained on real-world data, this supports the hypothesis that the phrase "It's actually pretty simple" is often followed by an unintelligible and highly technical explanation.
> It's actually pretty simple. We'll be looking at something called the "D-Wave P-500", which is a version of the P500 chip for quantum computers.
> It's basically a single bit computer, but with more than 500 qubits. Which means that our "real number" will have more numbers than the number of qubits that are available. That's really important.
> Quantum computers are theoretically able to do more things than just solve equations. For example, the way that a quantum computer uses energy from an electron to solve a classical math problem, or the way that it can break a complex calculation into smaller bits of information that each can solve on its own, is very different from how computers currently work.
> But I am not suggesting that a quantum computer can be used to solve more abstract problems. Because that would be crazy.
> But to give an example of what it could do, imagine doing a number crunching function that was 10× faster than a classical chip, and that had some really useful, and practical things that would be interesting to try.
Because Talk to Transformer is trained on real-world data, this supports the hypothesis that the phrase "It's actually pretty simple" is often followed by an unintelligible and highly technical explanation.