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James Prescott’s DKR Scenario

The alarm goes off at 5:30 am as Joe frantically grabs for his smart phone to turn off the alarm. Wiping sleep from his eyes, Joe turns on the computer as he stumbles in the dark to the kitchen for coffee. As his computer boots, Joe silently goes through his to do list for the day. He has a big research project that he needs to continue to work on; it is due in three days and a lot is riding on it. He needs to collaborate on two projects; one for work and one for a civic group he works with on lobbying local government on improving digital access to lower income families. Finally he needs to find a gift for his girlfriend, which he is horrible at. Seriously, a poinsettia is a lovely gift for a girl during the holidays. How was he supposed to know that it was poisonous for her cat?!?!
Joe returns to the computer screen, coffee in hand and at least 80% awake. Time to go to IdentiMe, his personal online guardian angel. Always with him, taking notes, finding connections, reading everything so he could focus on the RIGHT things. Before IdentiMe, Joe was often frustrated and anxious while online. Much of what he did, professionally and personally, was dependent on getting an accurate picture of a situation and acting on it. But there was so much information and resources he could never be sure he had the whole picture. Was he seeing just what the search algorithm just thought he wanted to see, reconfirming biases? Was he missing new information just because it wasn’t popular enough yet? The hours spent going down every rabbit hole, doing every iteration of search to see if it would reveal new results, it was just too much. He had other things to do.
Joe navigated to the welcome display, where he saw the three basic screens; work, quests, personal. It was still a little early for work and quests, so let’s go personal. While he slept, the AI agents in IdentiMe had tracked down information about trade rumors for his favorite team, the Chicago Cubs and distilled it into a summary that is provided in a manner that Joe can best understand it. See Joe’s IdentiMe has the Replika add-on. Replika is a chatbot that learns your speech patterns and moods and adjusts itself to mirror those patterns to become a better messenger. By pairing this functionality with the AI agents in IdentiMe, you don’t just get information, you get customized summaries written for you as if they were written by you. This increases information assimilation and retention.
Joe is fully awake now and moves to his work section. That research problem is a bear, but Joe thinks he has found a solution. He jotted down a sketch of an idea in his notes, linking to several bits of data he had already added to his work knowledge garden in his IdentiMe. Then he asked his AI to go research the solution and see if there were any other resources out there related to this idea, good or bad. While Joe slept, the AI did its search.
One of the benefits of IdentiMe is the guardian angel protocol. While you navigate on your devices, IdentiMe sits in the background recording what you do. Unlike the creepy online companies of the past, the only entities that can see your online history is you and your personal AI; you get to dictate what is seen publicly and how everything is used personally. Complete personal autonomy and control over both the search history and your AI.
While you navigate you can go into one of four gears (although you can add more gears based on your needs…more on that later). Personal, work, quests, and private. This way the garden and AI knows the basis of what you are looking at; right now I am looking at “work stuff” and want to be reminded of it if relevant if I have work queries. In addition to the passive cataloging, you can tag specific webpages and bits of data as especially important. This makes it easier for you to find it later and signals to the AI what you find to be especially important.
So while the AI researched Joe’s question, it began in his personal work garden, analyzing everything Joe had ever read (well, since IdentiMe started recording anyway) for anything related to the question. Next, it searched the internet doing an interative search premised on the question itself as well as based on the sources Joe cited in his concept notes. The AI puts an emphasis on sites with DKR protocol. The information is richer and the number of links and connections are greater. The AI also uses its history with Joe to not only find things that conform to his way of thinking, but deliberately finds credible resources that Joe wouldn’t think of using that are relevant to the topic at hand.
My god, how had Joe been able to do research prior to IdentiMe. Or at least that is what Joe thinks as he scrolls through the list of resources curated by the AI. Here is a story that Joe read three weeks ago but is highly relevant to this point here. Wow, Joe wouldn’t normally use this sort of site or approach, but it supports his argument and there are some people in his company that like things like this. He should definitely add it. But…hmmm…yes, this post here was put up two days ago and highlights a weakness in his idea that Joe hadn’t seen based on some newly available data. As Joe gets read for work, he reads through the report thoroughly, looking for any potential caveats that might differentiate the new study from his idea. He think he found one, but he is not sure. He posts the question to the AI, and it will initiate the iterative search while Joe moves onto his collaborative projects.
Collaboration doesn’t just happen; it is not enough to ensure the flow of information. These things have to be structured. Heck, sometimes collaboration isn’t even the answer. The groups that organize the collaborations focus on the human systems of it all. They use the principles such as those determined by the MIT Collective Intelligence Genome (or a similar framework) to determine the best conditions for success given the terms of the project (contest v. collection; voting vs. prediction market; etc.). To ensure that the participants are getting the most out of the experience in terms of personal development, the organizing groups for collaboration are also utilizing the principles of Scalable Learning (or a similar framework).
Joe starts with the work collaboration. Given the nature of his work, Joe and his team can’t really communicate with groups outside of his company; it is just him and his tribe versus the world. Right now his group is orbiting around a particular problem. Joe read something that was relevant to this two weeks ago and he wrote up some thought he had when he originally encountered the post. He returns to his IdentiMe, reviews his ideas, and makes some edits based on new insights and information. He then pushes that section of his garden into the team’s work space; the original article, his original thoughts, and his updated ideas all go into the group workspace. Joe then creates linkages (and reasons for those linkages) between his ideas from his IdentiMe to the ideas that exist within the team’s garden. Once that is complete, the team can comment on the article Joe added, Joe’s original and new thoughts on that article, as well as Joe’s link to the team’s existing data. The team can also add more links to Joe’s data.
The team also has an AI which reviews the team’s garden. Similar to how it works for IdentiMe, the team can query the team’s AI for new information and resources. Also, if the team is part of a company’s larger ecosystem, it can keep track of queries posed by the teams. If the teams keep asking for a specific resource or asking similar questions, the company’s management team can be made aware and can address the evidently systemic issue.
Satisfied with his contributions to his work team, Joe moves on to his civic responsibilities. Unlike work, Joe can reach out to other groups outside of his specific tech organization. So in addition to his team there is a larger knowledge hub that his group is a part of premised on one question; “how can we provide more tech access to low income families.” All the different groups provide data on their different initiatives; what worked, what didn’t, how the groups engaged local governments. It allows for ideation outside of a given group. Joe reviews the most recent additions to the knowledge hub and adds some of those initiatives to his group’s garden for consideration. He also pushes some of his IdentiMe info into the knowledge hub and suggests to his team that the add the results of their most recent activities to the larger knowledge hub as well.
Now for the more complicated task; buying a gift for his girlfriend. Joe created a sub-group of his personal garden within IdentiMe titled “girlfriend.” This is to help him navigate the troublesome dynamics of modern day dating. In the girlfriend garden are the important dates (birthdays, anniversaries, etc.) as well as notes of important things (favorite flowers and candies, etc.) He also has browsing histories that include information like “things to which cats are allergic.” Joe turns on his girlfriend specific browsing history and highlights some potential gifts for his girl. Overnight his AI agent will scour for other gifts of a similar nature while cross referencing them against things his girlfriend doesn’t like. Optimized gift giving and relationship piece of mind; another benefit of a fully functioning DKR.
Joe ends his day looking over the personal section of his IdentiMe. Looks like the trade rumors he read about in the morning didn’t materialize. Oh well. Tomorrow is another day. He closes his laptop, sets his alarm and goes to sleep, knowing that while he rests the work he needs to do is getting done.
He sleeps blissfully, knowing that he has more protection against the unknown unknowns than anyone has ever had.
The End.
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