All Posts By

Rod Brandt

The Solution to Facebook’s Privacy Woes is a New Technology Created by Stanford Graduates

Facebook, Google, Amazon, and many other Silicon Valley tech giants have recently come under fire for their handling of your personal data—and rightfully so. Their use of your information seems to have been guided by a toxic combination of abuse, greed, and negligence.

However, in these companies’ defense, their entire business model revolves around the use of your data for advertising purposes. If they didn’t do this, they would be charging you for their services … and could you imagine paying $9.99 a month to use Facebook? This is clearly a non-starter.

But what if data collection and handling were carried out in a radically different way? What if you had full control and ownership of your personal data, but Facebook could use this data without ever having it? In this ideal scenario, Facebook could maintain free service by continuing to target you with tailored ads without actually accessing your personal information. It would be a win-win.

Hypernet is poised to change the future of data privacy and analytics by enabling “on-device computation.” This would allow companies to learn from your personal data without ever controlling or owning it.

With Hypernet, YOU control YOUR data on YOUR device.

​That’s because Hypernet technology turns the Facebook model on its head. In order to make money through targeted ads, Facebook compiles users’ personal data. AI software, coupled with this user data, determines which people are shown which ads on the Facebook platform.

​Hypernet instead provides a decentralized environment for the training of similar AI software. The software learns, in a general sense, which ads fit which people, without ever acquiring any one user’s personal data.

But how does the software know whether to show me an ad if it doesn’t know anything about me?

With Hypernet, your computer acts as gatekeeper. The program knocks on your computer’s door and declares, “We have this ad with these specifications. Is it relevant to you?” Your computer then accepts or denies the ad, based on your data, but that data is never seen by Facebook, Google, Amazon, or any other ad platforms.

​With Hypernet you control your data, and it never leaves your device.

Join the conversation about evolving data privacy issues and the future of distributed networks in Hypernet’s Telegram Community. See you there!

Supercomputing vs. Distributed Supercomputing vs. Hypercomputing

Supercomputers have long existed solely in the realms of science-fiction and pop-culture. According to movies, they represent either humanity’s greatest threat, or our saving grace.

But what is a supercomputer, actually?

This seems like an important question that Hollywood never seems to address. It’s an incredibly hard question, nearly impossible to answer, but we’ll do our best to describe it in a simple manner:

A supercomputer is a big computer. Specifically, it’s a big computer that’s built from a bunch of smaller computers. That’s it.

Go to your local Best Buy, purchase all the computers in the store, and hook them together. You could build yourself a mini-supercomputer as your weekend project, and still have time to grill a nice steak Sunday evening.

Of course, supercomputers can also be made to function differently, in that they might communicate faster, they might be built with greater protection from overheating, and they may be optimized in various other ways… But conceptually, they’re really just big computers that are made from smaller computers.

Supercomputers are simple because they’re just the extension of the basic nature of the computer. It’s such a common word, that we sometimes forget that a ‘computer’ is literally an object which computes data.

​It does this via a processor. If one processor can compute one million problems per minute, then 100 processors can compute 100 million problems per minute

​Therefore, a supercomputer is a collection of really powerful processors, which are hooked together really efficiently, in order to solve really difficult problems. These processors are usually housed in massive buildings, so that maintenance and repair can be done very quickly… These buildings and maintenance services are costly, and they impose an ever-greater environmental burden, which is a cost to us all.

But what if you didn’t have to worry about maintenance, repairs, or housing, because other people took care of the processors for you?

Enter distributed supercomputing.

distributed supercomputer is a supercomputer with processors spread around the world, connected via the internet. It’s conceptually the exact same as a classic supercomputer, but distributed. These processors are located in the desktops and laptops used by average people every day. In a dsitributed supercomputer, device owners allow other people to use their processors when they aren’t using them, and the devices are wirelessly connected to the distributed supercomputer. That’s pretty neat, but there’s a downside. Currently, distributed supercomputers can only solve certain, very specific, problems.

​This is why the future is Hypercomputing by Hypernetwork.

Hypercomputing is a term we adapted to describe distributed supercomputing that is done much faster, and in a truly parallel manner. Because it is parallel, Hypernet is not limited in its computational abilities in the way that other distributed supercomputers are. This means it can be used for complex parallel processing tasks, like the identification of cancer cells, the prediction of traffic patterns, or even predicting natural disasters!

​We hope you’ll join us as we change the future of computation. Join the conversation online, or message us on Telegram to learn more!

Until next time,

The Hypernet Team

Good Companies are Built on Good Practices — Hypernet’s Core Values

Hypernet is seeking to build a great company with great character… not to mention an incredible product.

The technology behind Hypernet — which enables personal computers to connect to each other and become one fully parallel supercomputer — is the tool we hope to use to change the world…

But people are the true foundation of our company.

​Hypernet is comprised of individuals who are committed to making responsible, ethical, and integrous decisions at every step along the way. We firmly believe that upholding respect and promoting trustworthiness is the only way to build a company that will continue to innovate as well in 50 years as it does in 5.

​We’ve gathered an all-star team of industry experts across multiple disciplines who have guided and advised us. We have a world-class legal team helping us to comply with evolving legal requirements. We have advisors from a variety of high-tech industries showing us how to continually increase the quality and utility of Hypernet. And leaders from multiple tokensale and blockchain projects are helping us to navigate the marketplace aspect of our project.

We want your experience using Hypernet to be fantastic, from connecting to Hypernet and running your parallel computations, to interacting with all the people who make Hypernet work. We know that you all will hold us to the highest standard of trust, security, and satisfaction, and therefore we will hold ourselves to that same standard and more. When you interact with Hypernet, you can be sure that every effort has been made to optimize your experience.

​If you want to learn more about our project, join the conversation in our online community, and be sure to sign up for our newsletter at Hypernetwork.io. We’re excited to hear from you!

Until next time,

The Hypernet Team

Here’s how Hypernet is recreating distributed computing…

Behind all the tech advances we enjoy in modern life is an insatiable need for computing power.

The more computational power available, the faster we can develop solutions to the most important challenges we face as a society. The ability to process oceans of data provides the necessary foundation for the discovery of a cure for cancer, the possibility of a driverless commuting future, and the development of the means to combat climate change.

​Data Centers Can’t Keep Up

​The hub-and-spoke data center model can’t keep up with the demands of the pace of modern technological advancement. Data centers take too long to build, cost too much, and can’t handle the volume of data sent their way. This is why so much attention is now trained on distributed computing.

We are surrounded by computers that — most of the time — carry extra capacity. If we could efficiently tap into all of this unused power, we’d be able to solve big problems faster, and we wouldn’t have to depend on mega-corporations building inefficient, insecure, centralized structures.

How the Hypernet Tech Stack is changing Distributed Computing

​To be viable, distributed computing has some major challenges to overcome. What do you do when one computer drops off the network? How do you determine which computers work on processing which data? The Hypernet team has taken a hard look at each of these questions and spent years researching and developing unique solutions.

Hypernet’s distinctive features:

True, Scalable Parallel Computing: Traditional data centers are inherently limited in the amount of computational power they can offer. Hypernet’s ground breaking algorithms can run all classes of problems in parallel across an infinitely scalable network, and it is not limited by the cost and time it takes to build new data centers.

Resilience: By uniting the power of blockchain technology with our Distributed Average Consensus (DAC) algorithm, Hypernet makes it simple and efficient to tap into idle computational power by providing the gateway to the billions of devices that already exist in the world.

The technology behind Hypernet allows for the efficient distribution of compute jobs, manages the turnaround of nodes dropping on and off the network, and creates a secure marketplace where computational buyers and sellers can engage with confidence. Hypernet has the capability to reach true exascale computing, thanks to the power and resilience of our proprietary DAC algorithm.

Speed and Cost: Hypernet has massive speed capabilities because any application can run in parallel across an unlimited number of computational nodes. As a marketplace, Hypernet also cuts out the middlemen corporate giants, like Amazon and Google, and connects consumers of computational power directly with an enormous network of distributed devices at a low cost.

How to Engage with Hypernet

Join our Slack channel — We’d love to hear from you and answer your questions.

Talk to us on Telegram — We’re online all the time, just to talk to you!

Get email updates — Be first in line to hear announcements about Hypernet.

Read our whitepaper — Feeling rather geeky? We’ve got a whitepaper that delves into lots of detail about our Distributed Average Consensus algorithm and how Hypernet builds on blockchain technology.

Why Hypernet? Computing Yesterday, Today, and Tomorrow.

Hypernet is building an application programming interface (API) that takes your code and runs it across a cluster of internet connected devices, anything from servers to refrigerators (the “industrial internet”), saving you time and money. Many of you have been asking how we can make this claim, and what makes Hypernet a new and useful tool. By the end of this post, you will have a technical understanding of how Hypernet is changing the computing landscape, how you can get involved, and how you can benefit.

Yesterday

Yesterday, if you wanted to run a complex program like a deep-learning AI or a weather simulation, you had one of two options: use your local machine or upload it to the cloud. Both these options pose huge problems.

Local Machines: Your local machine may be too weak to perform the task you’re interested in. Even Google, with its huge server banks, took two weeks to train its flagship Inception AI, and every time they want to modify it, they have to train it again. Imagine how long it would take you to do that on your own computer — a year? Maybe longer? Since the average person doesn’t have the money to spend on a server bank or the time to waste running programs locally, this solution doesn’t make sense.

Cloud Computing: Even the cloud has major limitations. The idea of subscription cloud services is that you can “buy time” on a bigger, better computer, basically leasing it for the time it takes to run your program. But these computers are expensive, and their cost gets passed on to you. Also, there is a limited number of these computers available, so not only do you need to fight with others for a modest number of computers, but if you want to requisition 100,000 of them to run a massively parallel program, no company would be able to service that. Trust us — we’ve tried calling a company and asking for time on 100,000 separate computers, and all we got was a very confused and embarrassed team of engineers on the other line.

There’s also the issue of latency; these computers are far away from you, meaning in practice it takes time just to send your data back and forth with a data center, let alone compute the answer.

Clearly, cloud computing has high overhead costs, problems running massively parallel programs, and inherent latency that make it practically useless for many applications, including real-time ones.

​Today

​Yesterday is over: some companies have identified the same problems with local or cloud programming. Simply identifying that there is a problem is not enough. What you need is the ability to run any program you want — parallel, vectorized, anything — on a distributed network efficiently and completely decentralized. No other cloud or distributed computing company can do that. Other distributed computing solutions can only handle trivial algorithms like rendering or can only maximize specially formatted code instead of allowing you to run any problem in parallel like on the Hypernet.

Tomorrow

​If the cloud is yesterday and distributed computing is today, the Hypernet is tomorrow.

Hypernet solves all the problems posed by servers and the cloud. As devices join our network, you don’t have to pay for the cost of those devices. Furthermore, the combined power of those devices is greater than that of a server system. Also, Hypernet distributes the computational workload across a cluster of internet connected devices, starting with the ones nearest to you (subject to your constraints for processor speed, RAM, etc.) This means you don’t pay a hardware premium and you don’t have to worry about having too few computers or too much latency.

If you’re excited about the implications of Hypernet technology and are wondering how it works along with more technical details, stay tuned for our next post. We’ll reveal exactly how our algorithms run and how they are different from anything else available.

​Until then, feel free to contact us on Slack or Reddit.

Best,

– Ivan Ravlich and the Hypernet team

Welcome to the Hypernet: Powered by You!

The computing industry is in the midst of a paradigm shift. Tools like artificial intelligence and machine learning (which were purely academic curiosities a decade ago) are now driving your car, filtering your Google searches, and predicting your next iPhone text. But even your iPhone X – in all its Animoji glory – isn’t capable of much in isolation. You couldn’t use your iPhone (or most computers) to edit a movie or produce music, to power an AR/VR headset, or even to to analyze large amounts of data.

Instead, you might try the cloud; but that’s expensive and high-latency. Your last resort might be to spend a month’s salary on a datacenter for your home, and, like countless researchers in dusty university laboratories, strap it to your back, and gobble up your data plan for computation on the go (yeah, that’s a real thing). Clearly, in practice, performing large computational tasks cheaply, quickly, and conveniently is impossible. But what if I told you there was another solution – one that could allow you to access nearly limitless computational power from your device of choice at a fraction of the cost of current state of the art cloud services?

​Enter Hypernet.

​Hypernet has found an elegant, efficient solution to these computational needs by salvaging wasted processing power. Paradoxically, though computation is an enormously valuable commodity, most Americans have desktops, smartphones, and even toasters with processors that waste away hours without use. Even though each of these processors is limited on its own, enough of these devices together can surpass the abilities of even state of the art supercomputers; and they are only becoming more common. With Hypernet you will be able to rent out your otherwise wasted computing power to other people that want to use it – and be paid for it!

Hypernet isn’t a computer – it’s a community.

​Hypernet allows sellers to rent out a slice of their idle processor power. First, sellers register their devices on the Hypernet and set a price for time on their device. Then, much like traditional cloud services, buyers write a program as they normally would, and request computation-hours on a certain number of devices with a minimum specification to run their program. Hypernet ensures that buyer’s program is split up and securely sent to each of the requisitioned devices, handles arbitrage between users, verifies work done by sellers, and generally makes sure the process goes smoothly. We know – it seems simple – but this form of parallel computing has never been done before, and we think it’s going to change the world.

​Hypernet is new for a variety of technical reasons. First, our approach to computing works for almost all types of problems, while competitors in distributed computing have only tried to approach the simplest class of programs, called grid computing. In lay terms, this means that if you wanted to render an image like in a video game, you might have multiple service options; but, for more sophisticated tasks, you’d be looking to Hypernet. Second, we use an algorithm based on distributed average consensus that was designed from the ground up for dynamic, distributed, and decentralized networks of devices, and we’ve shown mathematically that it is guaranteed to return the right answer to buyers efficiently and at a low cost. If you want to hear more about our technical innovation, get in touch with us on Telegram– we’d be happy to nerd out with you.

​​Hypernet’s technology, pioneered by a plucky group of Stanford engineers, is poised to change the world by making high-performance parallel computing a consumer good. Currently, only large corporations can truly benefit from massively parallel computing by exploiting their oligopoly on consolidated computing power. We want that power to be available to you too, so you can take on ambitious, novel, massively parallel projects in big data, AI, and modeling with the tools to compete against the likes of Google, Amazon, and Facebook – and win.We want to give you, from armchair AI developer to smartphone savant, the tools to take on problems like climate change, world hunger, poverty, and economic instability, with all the power in the world.
YOU are the only missing piece in our community – and we can’t wait to see what great new things you do on our platform.

Welcome to Hypernet.

– Ivan Ravlich, CEO and the Hypernet team