Saturday, September 23

Google’s new AI understands our jokes and is able to explain why they’re funny

Humans are difficult. Especially when we start telling jokes and using cultural references. Precisely understand human humor It is one of the great challenges for machines, but now Google has shown great progress with its latest artificial intelligence.

The Google Research team has announced its new Pathways model, capable of understanding more than 540,000 million parameters and manage to understand concepts and relationships that until now seemed too complex for computers.


The challenge of understanding the logic of ’cause and effect’

Cause and effect

The new model uses the largest configuration of TPUs to date, combining up to 6,144 chips. The AI ​​has been trained on English language material of all kinds, from books to Wikipedia, along with conversations and code from Github. And the results, as described by Google, they outperform other models such as GLaM or GPT-3 in tasks such as reasoning, answering questions or understanding the context.

Who is behind the jokes that Alexa and the Google Home Assistant tell

‘Pathways’ can distinguish cause and effect and understand combinations of concepts in the appropriate context. For example, the relationship between efforts and results. Both sentences are technically correct, but all humans can understand the implications.

Another capability of Google’s new AI is power guess a movie from a single emojifor example that of a bat or a lion.

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The model is capable of reasoning about the answers it gives and is also capable of solving simple mathematical problems. We are not talking directly about a formula, but about be able to understand the phrasing of the question. According to Google data, it is close to the average of 60% of problems solved by children between 9 and 12 years old.

explaining joke

But perhaps the most striking ability is that of being able to understand and reason where the jokes are funny. PaLM, technical name of the model, is able to give explanations to jokes that he has not previously read.


Julia Taylor Rayz, a professor at the Purdue University Polytechnic Institute, explained in relation to the difficulty of jokes that “there are no clear rules in human communication, what are we going to tell the computer to do, find rules that they do not exist? […] You cannot find enough examples that describe all possible communication scenarios“.

But studies are advancing and artificial intelligence, thanks to the enormous base with which it can learn, is taking giant steps when it comes to understanding how we humans express ourselves.

More information | Google

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