The Problem with Microsoft’s OpenAI Investment? Simple

There is nothing resembling a consensus in the AI research community regarding how or when AGI will be achieved.

Getting a billion-dollar commitment from Microsoft surely was not easy, but creating a decentralized AI, data and processing ecosystem is most likely a dramatically more difficult task.

Cutting-edge AI R&D now requires large amounts of computing power, and leveraging all this compute power requires expert support staff beyond just an AI research team.

Some leading AI researchers are skeptical that current deep learning technology is the right direction to follow to achieve AGI.

OpenAI, like Google Deep Mind and Facebook AI Research Lab — all of which are doing AGI-oriented research together with their immediately practical AI technology development — stands firmly in the deep learning camp.

But OpenAI’s basic AI technology orientation is about the same as Google Deep Mind, Google Brain, Facebook AI Research, Tencent, Alibaba or Baidu.

Those of us in the small but rapidly growing decentralized AI space are actively pushing back against the increasing centralization of resources that the Microsoft-ization of OpenAI exemplifies.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

Original link

Microsoft invests $1 billion in Elon Musk’s OpenAI

Microsoft is investing $1 billion in Elon Musk’s OpenAI to build artificial intelligence that can tackle more complex tasks, the companies announced Monday.

Through the partnership, the companies will build new Azure AI supercomputing technologies and Microsoft will become OpenAI’s exclusive cloud provider, according to the announcements.

The companies said the technology they plan to build, artificial general intelligence, will be able to solve more complex problems that AI currently is capable of.

“Modern AI systems work well for the specific problem on which they’ve been trained, but getting AI systems to help address some of the hardest problems facing the world today will require generalization and deep mastery of multiple AI technologies,” the companies wrote in a press release.

“OpenAI and Microsoft’s vision is for artificial general intelligence to work with people to help solve currently intractable multidisciplinary problems, including global challenges such as climate change, more personalized healthcare and education.”

Rather than build its own product to make up the costs of building AI technologies, OpenAI said in its announcement that it decided to license some of its “Pre-AGI technologies” and make Microsoft its preferred commercialization partner.

WATCH: VR training by Microsoft and Pixo VR saving millions and saving lives.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

Original link

Google and Microsoft Warn That AI May Do Dumb Things

Google CEO Sundar Pichai brought good tidings to investors on parent company Alphabet’s earnings call last week.

One thing Pichai didn’t mention: Alphabet is now cautioning investors that the same AI technology could create ethical and legal troubles for the company’s business.

Companies must use the risk factors portion of their annual filings to disclose foreseeable troubles to investors.

The company began testing self-driving cars on public roads in 2009, and has been publishing research on ethical questions raised by AI for several years.

Employee protests at Google forced the company out of a Pentagon contract applying AI to drone surveillance footage, and it has censored its own Photos service from searching for apes in user snaps after an incident in which black people were mistaken for gorillas.

Differences among companies, or unusual items-like ethical challenges raised by artificial intelligence-can be more informative.

In IBM’s most recent annual report, for 2017, the company claims that it “Leads the burgeoning market for artificial intelligence infused software solutions” while also being a pioneer of “Data responsibility, ethics and transparency.” But the filing was silent on risks attendant with AI or machine learning.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

Original link