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Megan then realizes that in this way it builds up his "typical" sentence and she tries this over the next eight small frames: ''I am so sorry- that's never happened before.''
 
Megan then realizes that in this way it builds up his "typical" sentence and she tries this over the next eight small frames: ''I am so sorry- that's never happened before.''
  
"I am so sorry– that's never happened before." is a typical excuse for a mishap, usually when {{tvtropes|TheLoinsSleepTonight|one fails to produce an erection when it is needed}}. Such a phrase being quoted by an algorithm implies that such mishaps are common, and therefore "I am so sorry– that's never happened before." is a lie. Also, SwiftKey might be saying "I am so sorry– that's never happened before." because the software doesn't know what to do.   
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"I'm so sorry– that's never happened before." is a typical excuse for a mishap, usually when {{tvtropes|TheLoinsSleepTonight|one fails to produce an erection when it is needed}}. Such a phrase being quoted by an algorithm implies that such mishaps are common, and therefore "I'm so sorry– that's never happened before." is a lie. Also, SwiftKey might be saying "I'm so sorry– that's never happened before." because the software doesn't know what to do.   
  
 
SwiftKey has noticed their inclusion in xkcd and have created a blog post for other users to comment with their default phrase when they hit the "central prediction key". The results are [http://www.swiftkey.com/swiftkey-on-xkcd pretty funny] (the site now redirects to a website asking to download the keyboard, an archived version can be found [https://web.archive.org/web/20190226120542/https://blog.swiftkey.com/swiftkey-on-xkcd/ here]). In addition, Reddit users have a similar model creating [https://www.reddit.com/r/SubredditSimulator /r/subredditsimulator], which is populated by bots generating submissions and comments based on the language of their subreddits.
 
SwiftKey has noticed their inclusion in xkcd and have created a blog post for other users to comment with their default phrase when they hit the "central prediction key". The results are [http://www.swiftkey.com/swiftkey-on-xkcd pretty funny] (the site now redirects to a website asking to download the keyboard, an archived version can be found [https://web.archive.org/web/20190226120542/https://blog.swiftkey.com/swiftkey-on-xkcd/ here]). In addition, Reddit users have a similar model creating [https://www.reddit.com/r/SubredditSimulator /r/subredditsimulator], which is populated by bots generating submissions and comments based on the language of their subreddits.
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In the title text, a {{w|Markov chain}} refers to a system that transitions between a countable number of states, based only on the current state and none of the previous ones that led up to it. SwiftKey follows this property since it provides outputs based only on the most recently entered word or words, not the whole sentence.
 
In the title text, a {{w|Markov chain}} refers to a system that transitions between a countable number of states, based only on the current state and none of the previous ones that led up to it. SwiftKey follows this property since it provides outputs based only on the most recently entered word or words, not the whole sentence.
  
"Massachusetts Institute of America" is a nonexistent organization. The name appears to have formed by combining "{{w|Massachusetts Institute of Technology}}" and either "[Field] Institute of America" (e.g. Mining) (Wikipedia links needed) or "United States of America". This illustrates the memoryless property of a Markov chain; after generating "Massachusetts Institute of", SwiftKey may have attempted to predict the next word using only the last "of" or "Institute of". Since it was not considering the word "Massachusetts" at all, the word "America" was viewed as the most likely follow-up.
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"Massachusetts Institute of America" is a nonexistent organization. The name appears to have formed by combining "{{w|Massachusetts Institute of Technology}}" and either "[Field] Institute of America" (e.g. Mining) or "United States of America". This illustrates the memoryless property of a Markov chain; after generating "Massachusetts Institute of", SwiftKey may have attempted to predict the next word using only the last "of" or "Institute of". Since it was not considering the word "Massachusetts" at all, the word "America" was viewed as the most likely follow-up.
  
 
==Transcript==
 
==Transcript==

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