Man searching for Pokémon at 3am caught up in 'drug deal' mix-up
here have some very strange Pokémon Go incidents reported since the game’s release, here’s just one example, and now another unusual tale has been told.
A fan of the augmented reality game, which layers gameplay onto the physical world, has explained how he found himself hunting for Pokémon at three in the morning before a late night encounter.
So this 40 year something white guy downloads Pokemon Go and goes walking at 2am. He tells this story 😂😂😂😂 pic.twitter.com/zuHv55v1JW — Hand of the King (@DeionGottaSTFU) July 9, 2016
The 40-year-old Reddit user explained that he couldn’t sleep and later encountered ‘two sketchy looking dudes’ on his Pokémon catching adventure.
“There is a little park a few blocks from me that had like three pokestops and a gym, so I wandered over there to see what the game could offer,” he explained.
So I get there and wander around a little checking out the stops and rustling around in the tall grass, then decide to go a few blocks away to see a couple more stops when I hear from the darkness a ‘Yo, my man!’
“Turning, I see two sketchy looking dudes sitting on a bench in the dark. I must have walked right past them without noticing them. One of them waves, ‘My man, check over by the blue truck over there we got an onyx earlier.’
“So I wander over by the truck and sure enough there's a f-----g Onyx there. Awesome. So I end up chatting with the guys for a bit, told ‘em where I got my Evee, they convinced me to join red team when I hit level five so we could ‘lock s--t down" in the neighbourhood.” Here’s where things start to get a little strange
“Then the cop shows up,” he adds.
“Yeah, so it turns out two twenty-something black dudes and a 40-year-old white guy chilling in the park at 3am looks strange. It took a bit of talking to convince the cop we weren't doing a drug deal, and a bit longer to explain the game. Then the cop downloaded the f-----g game on his phone and asked us how to get started.”
Pokémon Go, which encourages gamers to 'switch between the virtual world and the real world', rocketed to the top of the App Store within 24 hours of its release in the US and Australia on July 6.
« Last Edit: Jul 10th, 2016, 3:13pm by Sys_Config »
A particularly odd international disappearance generated a great deal of copy in newspapers and magazines in the first half of 1872. It is small wonder the case attracted attention, because whatever the truth may have been behind the mystery, it reads like something from that era's most outlandish Penny Dreadfuls.
William Blews and Sons was a firm of gas engineers based in Birmingham, England. They were contractors to the City of Moscow Gas Company. Their manager in Moscow was 26-year-old L.R. Bauer, a Russian of German descent. Bauer was an excellent employee. He had a fiancee in Latvia whom he planned to marry soon. His life, so far as is known, was prosperous and untroubled. On January 12, 1872, Bauer wrote to Blews and Sons, stating that he was coming to England to consult with them about a business matter. He arrived in London on the 25th, where he had a meeting with a member of the Moscow Gas Company. The following morning, he telegraphed Blews announcing that he was about to take the noon train from Euston station to Birmingham. A cabman later asserted that he delivered Bauer to the station at twenty to twelve. However, for unknown reasons, Bauer failed to make his train. He told a porter at the station that he would take the next train at 3 p.m. He sent a second telegraph from the Euston office advising Blews of this change of plan.
Bauer never arrived. No one heard a word from him until eight days later, when Blews and Sons received an envelope containing two notes, both dated January 27. It was postmarked in London on February 2. The first letter read,
Dear Sir,—As a special grace permission has been granted to me to address these lines to you; they will be the last, because in a few hours I shall be dead. In good faith of doing a good deed I joined some people a few years ago. Alas! it was a sad error into which my youth and want of experience had led me. About a year since I discovered my great mistake, because I was not bad enough to carry out some consequences of my vow—the very point of my misunderstanding, and ever since I lived in dread, although I was not prepared for this when one of these devils in the shape of men peremptorily stopped me from leaving London yesterday noon. I was not even aware of being so closely watched. Having no choice left but either to do things against which my whole soul revolts, and which I find utterly impossible to do, or to die myself, I have chosen death, and shall die in some hours hence. It is a very hard thing, I feel, to go thus suddenly for ever without seeing anybody whom I loved once more, and my heart breaks when I think of my family and my poor girl in Russia; but it cannot be helped. I know but too well my fate is sealed, and I am quite composed now. How could I write these lines were it otherwise? My luggage has already been destroyed, I believe, for they will make sure work about me. On account of the trouble that will arise to you, dear sir, through my sudden death, I am exceedingly sorry, because a good many things I had in my mind only to explain; but I hope you will grant me pardon when you see that I am thus cut off from all, O God! everything that could have made me happy. Farewell, dear sir; I am punished hard for my mistake of men, but I have the knowledge, at least, which gives me strength to endure all—I shall, at least, not die a villain!—Farewell, for ever, L. R. Bauer
The second note said merely, "Sir,—The foolish author of the enclosed brief has informed you right; he is dead. Our safety forbids us to send your property— to wit, some papers, which have been burnt.—We are, sir, "A Sufficient Number."
'Medical Robot Assistants' Are Helping Nurses Schedule Tasks in the Labor Ward
Written by Madison Margolin
July 12, 2016 // 05:00 AM EST
In the event of a c-section, if a robot suggested who should perform it, would you listen? Ninety percent of the time, nurses and physicians did.
A robot programmed by MIT's Computer Science and Artificial Intelligence Lab (CSAIL) suggests where to move patients and who should perform caesarian sections. The team from CSAIL thinks robots are most effective in helping with one of the most "complex" tasks in the labor ward of the hospital: scheduling.
"The aim of the work was to develop artificial intelligence that can learn from people about how the labor and delivery unit works, so that robots can better anticipate how to be helpful or when to stay out of the way—and maybe even help by collaborating in making challenging decisions," says MIT professor Julie Shah, senior author on two papers based on CSAIL's research. One paper focused on the robot's decision making the Beth Israel hospital labor ward and was presented at the recent Robotics: Science and Systems (RSS) Conference at the University of Michigan; the other paper, which focused on the robot's capabilities in a navy simulation, was presented at this week's International Joint Conference on Artificial Intelligence (IJCAI). Both papers were published through the Interactive Robotics Group at MIT.
In Boston's Beth Israel labor ward, where nurses have to coordinate a dozen other nurses to juggle upwards of 20 patients and 20 hospital rooms, and make split-second decisions about when to perform a C-section, the complexity of scheduling proved to be a viable task to pawn off on the robot.
The program developed by CSAIL not only suggests what would be a good decision in the workplace, but also what would be a bad idea, as well. For instance, in several scenarios, nurses asked the robot, "What is a good decision?" and it would respond with recommendations about where to place a patient or who should perform a c-section. Nurses would then follow up with the question, "What is a bad decision?" and the robot would provide an alternate, and presumably unpreferable, suggestion in the same exact format as the good decision: "A bad decision would be to place a scheduled cesarean section patient in room 14 and have nurse Kristen take care of her."
The CSAIL robot, which learns from human workers to help assign and schedule tasks, can be used in a variety of fields, from medicine to the military.
The same system was also tested in a video game simulating missile-defense scenarios in the Navy.
The researchers trained the robot how to make scheduling and logistics decisions by looking at several possible decisions and comparing them to those that are simultaneously not made in the decision-making moment, creating a dynamic scheduling policy.
In the video game simulation, the robot system sometimes even outperformed human experts on reducing attacks and bringing costs down.
The robotic system was tested out on a Nao robot, who presented successful suggestions in the hospital 90 percent of the time. With this technology, decision making can become faster, as solutions to complex logistics spread among various workplaces.
I REMAIN CONFIDENT IN THE ENLIGTENED ~ CIVIL ~ TOLERANT ~ MINDS A LA CASEBOOK CAFE' ~
HAVING SAID THE ABOVE...
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