VPN Data Protection from Google AI

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Alvin Bryan

Alvin Bryan is a freelance writer and online privacy enthusiast enthusiast currently contributing quality tips and troubleshooting on personal VPN services, and online privacy and security news. You can also find him on Google +.

Ray Kurzweil VPN DataGoogle hired Ray Kurzweil as its new director of engineering last year. Many speculated about what Google would do with this well-known advocate of artificial intelligence, or AI. Reports now point to a state of the art AI laboratory. With Geoff Hinton, Regina Dugan and the army of tech companies newly acquired by Google, AI may soon be a reality.

Google Makes AI Tangible

Kurzweil is best known for his predictions about various technological achievements. And Kurzweil predicts that by the year 2029, computers will be capable of conscious thought. They will be able to do things better than people do, he says. He also believes that this technology of thinking, learning computers can help people. Kurzweil has also had a lot of success with the technologies he has developed. And it seems Google is as confident about his prospects where AI is concerned.

Google has apparently been preparing for this AI venture for some time. Over the past few months, the Internet giant has been buying up companies that specialize in AI, robotics, and related industries. Among these are Nest Labs, Boston Dynamics, DeepMind, and Meka Robotics. Google has also hired British computer scientist Geoff Hinton, who is the world’s most renowned mind in the study of neural networks. And former Darpa head Regina Dugan now works for Google as well.

Google AI VPN DataGoogle is currently working on a new laboratory for AI. It is being built on a scale never before seen. But this lab needs a most powerful source to function properly. It will need huge amounts of real data to process. Without this data, the research required to develop AI would not be possible. The prospects for AI are bright with Google and Kurzweil teaming up. And many in the tech community, as well as a lot of consumers, are very excited. But what many people don’t realize are the risks involved for them. The data that Google will use for its’ AI lab will come from all of us.

Privacy Risks and VPN Data Protection

The privacy risks that go hand in hand with data processing of this magnitude are enormous. AI has numerous applications that can make this world a better place. But this all comes at great risk to those whose intimate details will be scooped up to fuel the enterprise. Kurzweil’s AI research would be exceedingly difficult without the massive amounts of data that need to be fed into simulators. But Google already has the data resources of over a billion people on a daily basis. Google has the detailed profiles of these Internet users plus the neural network of billions of correlations produced from 800 million concepts.

VPN DataFor those who are concerned, it is possible to prevent Google from acquiring this mass of data that it needs. VPN data protection stops websites like the Google engine from associating you with your searches. Google can still record your searches, but it cannot correlate this with other identifying material. This means it cannot create the profiles it needs to simulate real human thinking. VPN data protection begins with hiding your IP address, your ID on the Internet. VPN data is hidden from view through private data tunneling and encryption. Whatever you send over the Internet stays anonymous. This way, VPN data protection ensures that you stay out of the database. This creates anomalous results in Google data and protects your identity and privacy.

Kurzweil’s description of Google as being “devoted to intelligently organizing and processing the world’s information” is accurate. Google has been in this business since its inception. And now Google wants to create the technology that can read and process this information as well. Google already has the ability to remember all your past information searches and to read all your messages. Soon, Google will be able predict all your decisions before you even think about them. At this stage, privacy concerns could be moot as computers would have learned to predict all possible human behaviors. By this time, it may be impossible to retain any semblance of confidentiality.

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