intelligence & synergy of everyone

8/13/2019 Intelligence & Synergy of Everyone

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To do this, we will invent new applications of computer science, statistics, mathematics, physics, and algorithmicdesign. This means inventing new machine learning algorithms that are scalable to any size data set - so wecan most intelligently recommend the most important knowledge and applications thereof. This also meansunderstanding the fundamentals of how humans learn (neuroscience), and building natural user interfacesthat maximize learning experiences: beautiful, intuitive, intelligent, adaptive, fast, and empowering. These are

the constraints of our optimization.

The key research-based discoveries driving our extraordinary determination follow:

Masters of the theory and optimization of these discoveries, we are capable of solving any problem in theworld, with our performance a function of how descriptive our data is of the underlying generative models(physics). We intend to create and organize and secure more data for our optimizations than any other com-pany has ever done before, including Google. We believe that by 2050 there will be at least one trillion timesour current collective data. We will lead the most progressive, ethical, sustainable, and beautiful applicationsof this data for everyone.

Core FoundersLance Legel Leadership linkedin.com/in/legelEzio Blasetti Design code.algorithmicdesign.net+ezioblasetti.netKui Tang Science kui-tang.comMatt Feldman Technology SpaceX + Tutor.com + nanofab + neuromorphic

Recruiting Needs[Jeff Dean] - Distributed Computing and Optimization Engineer[ ] - HTML5/JS/WebGL Ninja[Eric Schmidt] - COO

statistical techniques can precisely and accurately represent and predict any complex distribution ofdata from physics

any defined goal can be optimized using computationally efficient algorithms applied to any size dataset through distributed parallel computing

multiple semantically organized goals (objective functions) can be optimized sequentially or in parallelthrough collaborative filtering

intelligence & synergyof everyone

Our mission is to maximize

the intelligence and synergyof everyone.


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Inventing the Future of Education

After years of proactive epistemological research into the nature of everything, combined with years ofaward-winning leadership for presenting aggressive solutions to some of the worlds most difficult problems,Lance Legel crystallized the resolution to present a new model for education to the world. Over half of Ameri-can college graduates are underemployed, while they together have over one trillion dollars in debt.

Schools and universities can no longer keep up with how fast job requirements change, as a result of global-ization and information technology. We believe this will be proven to be exponentially exacerbated in thecoming years, as new companies and organizations invent new ways of optimizing work.

Demos

To see how HTML5+JavaScript+WebGL is the future of natural user interfaces: www.chromeexperiments.com.This has been a great inspiration for us. Specifically, we recommend you see a real-time interactive onlinephysics engineand beautiful and artistic visualization of data. In case you want to make sure we can actu-ally code what we intend to code, heres an ugly functional pieceof our 2014 DevFest hack.

Minimum Viable Product

Visit [transcend].com. Immediately you know this website is different from anything ever experienced. Itsbeautiful. A 2-4 second Hollywood-like animation renders unprecedented visualizations of pathways forusers to immediately start learning from free elite education providers like Wikipedia, Coursera, Udacity, KahnAcademy, EdX, and TED. All content and data extracted from such organizational databases (most of whichrequiring partnerships) we have already pre-computed statistical associations, hierarchies of importance, andstatistically representative visualizations. The user does not need to know this. They just play: zoom from onesphere of topics to another, quickly and without any freedom for getting lost or doing anything useless.They see multimedia rendered for what it is: videos are obviously videos, carefully and exquisitely interlacedwith brilliantly-fonted text, while links outsourcing education to new platforms like Coursera or Udacity areclearly visualized as well. Finally, the user must know that we are considering everything they do: they have aprofile, and on this profile you can see all previous nodes of knowledge they have visited. This is one of ourfavorite visualizations, probably looking similar in terms of how the links between nodes are rendered as thisGoogle Chrome experimentshows links between nations (specifically, click on a small nation and see beauti-ful blue light sources flowing over Bezier curves).

// hyperlink

http://lo-th.github.io/Oimo.js/http://lo-th.github.io/Oimo.js/http://workshop.chromeexperiments.com/globe/http://workshop.chromeexperiments.com/globe/http://54.213.92.168:5000/html/searchform.htmlhttp://workshop.chromeexperiments.com/projects/armsglobe/http://workshop.chromeexperiments.com/projects/armsglobe/http://workshop.chromeexperiments.com/projects/armsglobe/http://workshop.chromeexperiments.com/projects/armsglobe/http://workshop.chromeexperiments.com/projects/armsglobe/http://54.213.92.168:5000/html/searchform.htmlhttp://54.213.92.168:5000/html/searchform.htmlhttp://workshop.chromeexperiments.com/globe/http://workshop.chromeexperiments.com/globe/http://lo-th.github.io/Oimo.js/http://lo-th.github.io/Oimo.js/http://lo-th.github.io/Oimo.js/


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Next Steps

Only once we have click-stream data on at least one hundred thousand users does the fun really begin. First,we would move on to a Series B, on the order of $10m, to ignite work on several other very interesting andvaluable features we have mind. Our knowledge recommendation algorithms get way smarter. We can makethe overall UX more seamless, and introduce simple 80/20-like buttons for user ratings of content. We canintroduce two major new API-based features as we explore seamless, admirable means of monetizing:

1. Recommending careers ( jobs) as a function of previous exploration history.

2. Providing the best tools and mediums possible for teaching millions of people.For a personal taste of the lead founder, here is a 17 minute talkabout key problems and solutions in educa-tion by Lance Legel, made with love on Valentines Day 2014 for submission to TEDxTeachersCollege Agentsof Change conference at Columbia University. His goal is to finish recruiting, funding, and developing theMVP by March 28 2014 to launch the platform on that day to the world, through a video-recorded talkdesigned to maximize probability of going viral to over one hundred thousand people within one month oflaunch.

What We Need

f (recruiting, technology, domain, organizing) = O($1.5m)

http://www.youtube.com/watch?v=E3v4kZTS06Ahttp://www.youtube.com/watch?v=E3v4kZTS06Ahttp://www.youtube.com/watch?v=E3v4kZTS06A

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