Google taught a neural network to explain the meaning of any joke

Google taught a neural network to explain the meaning of any joke

Google published a very extensive report on the work with the PaLM neural network, which is based on a language model with 540 billion parameters.
It is able to independently analyze the text and interpret it.
The main result of the work of experts from Google was the fact that PaLM can explain any joke in a very accessible way.What is the difference between a zebra and an umbrella? One is a striped animal associated with horses, the other is a device you use to protect you from the rain.Explanation from PaLM: This joke is an anti-joke.
The point is that the answer is obvious, and the joke is that the listener expected a funny answer.- An example of how a neural network works.Reportedly, the neural network is far from perfect and requires significant adjustments, but already at this stage shows \"human logic\".
PaLM bases its explanation on logical reasoning and relies on possible context, which allows a very accurate simulation of the human thought process.It is also worth noting that the new development can explain even not quite \"acceptable\" humor.
PaLM can logically interpret the meaning of even offensive jokes that use racial or religious overtones.

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