Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Input: Every day, there are countless seconds that slip by that could probably be put to better use. 
  
 A set of new apps from researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) looks to take advantage of those "micro-moments," giving lifehack junkies a new opportunity to wring every last bit of productivity out of their days to learn a new language. 
  
 WaitSuite is billed as an opportunistic micro-learning package — just imagine a more obtrusive version of Duolingo popping into your idle moments. The developers of the software call the method "wait-learning," which they described in a paper published in last month's edition of ACM Transactions on Computer-Human Interaction. 
  
 The tools can be applied to make better use of your time during five common daily tasks with mini-wait times: Wi-Fi connection, sending and receiving emails, holding an instant message or text conversation, taking an elevator, or loading content to your phone. 
  
 The apps push flashcards to whichever screen you're fixated on, prompting you to fill in the correct answer to minimize the screen or press a button to reveal the English equivalent of the word being displayed. 
  
 “WaitSuite is embedded directly into your existing tasks, so that you can easily learn without leaving what you were already doing,” MIT PhD student and project leader Carrie Cai said in an MIT News release. 
  
 WaitSuite's IM-centric app “WaitChatter” showed users learned about four new words per day, which equated to 57 words over the two-week testing period. The apps won't teach you how to speak the language — at least not yet — but they can hone your vocab skills. 
  
 In the future, Cai said the team hopes to experiment with other types of knowledge skills like math, medical terms, or even legal terms and definitions, and expand accessibility to include audio cues. 
  
 You can check out wait-learning yourself via the WaitChatter Chrome extension for Gchat. ||||| Starting in 1996, Alexa Internet has been donating their crawl data to the Internet Archive. Flowing in every day, these data are added to the Wayback Machine after an embargo period. ||||| Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by. 
  
 To help us make the most of these “micro-moments,” researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a series of apps called “WaitSuite” that test you on vocabulary words during idle moments, like when you’re waiting for an instant message or for your phone to connect to WiFi. 
  
 Building on micro-learning apps like Duolingo, WaitSuite aims to leverage moments when a person wouldn’t otherwise be doing anything — a practice that its developers call “wait-learning.” 
  
 “With stand-alone apps, it can be inconvenient to have to separately open them up to do a learning task,” says MIT PhD student Carrie Cai, who leads the project. “WaitSuite is embedded directly into your existing tasks, so that you can easily learn without leaving what you were already doing.” 
  
  
  
 WaitSuite covers five common daily tasks: waiting for WiFi to connect, emails to push through, instant messages to be received, an elevator to come, or content on your phone to load. When using the system’s instant messaging app “WaitChatter,” users learned about four new words per day, or 57 words over just two weeks. 
  
 Ironically, Cai found that the system actually enabled users to better focus on their primary tasks, since they were less likely to check social media or otherwise leave their app. 
  
  
  
 WaitSuite was developed in collaboration with MIT Professor Rob Miller and former MIT student Anji Ren. A paper on the system will be presented at ACM’s CHI Conference on Human Factors in Computing Systems next month in Colorado. 
  
 Among WaitSuite’s apps include “WiFiLearner,” which gives users a learning prompt when it detects that their computer is seeking a WiFi connection. Meanwhile, “ElevatorLearner” automatically detects when a person is near an elevator by sensing Bluetooth iBeacons, and then sends users a vocabulary word to translate. 
  
  
  
 Though the team used WaitSuite to teach vocabulary, Cai says that it could also be used for learning things like math, medical terms, or legal jargon. 
  
  
  
 “The vast majority of people made use of multiple kinds of waiting within WaitSuite,” says Cai. “By enabling wait-learning during diverse waiting scenarios, WaitSuite gave people more opportunities to learn and practice vocabulary words.” 
  
  
  
 Still, some types of waiting were more effective than others, making the “switch time” a key factor. For example, users liked that with “ElevatorLearner,” wait time was typically 50 seconds and opening the flashcard app took 10 seconds, leaving free leftover time. For others, doing a flashcard while waiting for WiFi didn’t seem worth it if the WiFi connected quickly, but those with slow WiFi felt that doing a flashcard made waiting less frustrating. 
  
  
  
 In the future, the team hopes to test other formats for micro-learning, like audio for on-the-go users. They even picture having the app remind users to practice mindfulness to avoid reaching for our phones in moments of impatience, boredom, or frustration. 
  
 “This work is really interesting because it looks to help people make use of all the small bits of wasted time they have every day” says Jaime Teevan, a principal researcher at Microsoft who was not involved in the paper. "I also like how it takes into account a person’s state of mind by, for example, giving terms to learn that relate to the conversations they are having." |||||
Output:
How much "wait-learning" have you done lately? That's the term MIT scientists have for picking up knowledge while lingering in an elevator, waiting for a reply to your text, or doing other things that would normally have you simply staring off into space—and now they've got an app package to help you maximize those "micro-moments," Mashable reports. First introduced in a paper last month published in the ACM Transactions on Computer-Human Interaction journal, the WaitSuite language software developed in MIT's Computer Science and Artificial Intelligence Laboratory detects when you're idling during five distinct tasks—the elevator and text message scenarios, as well as while uploading content to your phone, searching for a WiFi connection, and sending or receiving emails—and then shows you new vocabulary words in a language you're trying to learn. Because the technology sends the words directly onto the screen you're currently viewing, rather than being a discrete feature to open separately, you're able to learn "without leaving what you were already doing," project lead Carrie Cai says in a release. The apps can tell when users have wait time via sensors that show when their devices are looking for a WiFi signal or have detected the Bluetooth signals used near elevators, for example. With the package's "WaitChatter" instant messaging app, users picked up an average of four new words a day, or nearly 60 words over a two-week period. Cai, who notes users stay focused on their original tasks because they're not leaving their screens, says the apps can also be used to learn math or technical jargon. The apps help "make use of all the small bits of wasted time" each day, an independent researcher says. (Can they keep your brain young?)