![]() ![]() For instance, when training a face recognition model, the model uses labels that tell it whether any two photos represent the same person or not. What do these applications have in common?ĪI has made massive progress in applications where there is little uncertainty or ambiguity. None of these was possible a decade or two ago. Machines have trounced the world champion at games such as Go. Our phones have apps that can instantly recognize which song is playing in the background or transcribe our speech fairly accurately. It is also essential for policymakers, journalists, and many others. ![]() AI is everywhere today, so this is essential knowledge if you ever make decisions about AI-powered products or services, whether at work or in your personal life. We explore what makes AI click, what makes certain problems resistant to AI, and how to tell the difference. So how can we understand which AI systems can work and which ones cannot? Others, such as COMPAS, do not work-and perhaps never will. Some of them have made massive progress, such as DALL-E 2. Today, it is used to refer to a large number of related but different applications. Why is AI so good at creating images from text, and yet so bad at predicting who will commit a crime?ĪI is an umbrella term. In fact, COMPAS was no better than using just two pieces of information to predict if someone would commit a crime: their age and the number of prior offenses!īoth DALL-E 2 and COMPAS work by learning patterns from data, and can be thought of as AI. To learn more, see the privacy policy.More worryingly, researchers found that COMPAS, which used hundreds of data points about a person to make a decision, was not very effective at predicting the future at all-it was as good as leaving the decisions up to people with no background in criminal justice. Please note that Urban Thesaurus uses third party scripts (such as Google Analytics and advertisements) which use cookies. ![]() Special thanks to the contributors of the open-source code that was used in this project: and you might like to check out the growing collection of curated slang words for different topics over at Slangpedia. There is still lots of work to be done to get this slang thesaurus to give consistently good results, but I think it's at the stage where it could be useful to people, which is why I released it. ![]() Please also note that due to the nature of the internet (and especially UD), there will often be many terrible and offensive terms in the results. Or you might try boyfriend or girlfriend to get words that can mean either one of these (e.g. The search algorithm handles phrases and strings of words quite well, so for example if you want words that are related to lol and rofl you can type in lol rofl and it should give you a pile of related slang terms. The higher the terms are in the list, the more likely that they're relevant to the word or phrase that you searched for. Note that this thesaurus is not in any way affiliated with Urban Dictionary.ĭue to the way the algorithm works, the thesaurus gives you mostly related slang words, rather than exact synonyms. The official Urban Dictionary API is used to show the hover-definitions. These indexes are then used to find usage correlations between slang terms. The Urban Thesaurus was created by indexing millions of different slang terms which are defined on sites like Urban Dictionary. ![]()
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