SingularityNET raised $36 mln in one minute, completely selling out of its native AGI tokens. While this is an enormous amount of money to raise in an incredibly short period of time, it's somewhat unsurprising considering demand. The company asserts that the issue was massively oversubscribed, with 20,000 people registered to participate, seeking to buy $361 mln worth of tokens. "[Screening] all applicants using layers of algorithms, in addition to manual review, to comply with global KYC/AML regulations. This reduced the pool of contributors to 5,000, but also set a new standard for fundraising via Blockchain with respect to global legislation."

SingularityNET raised $36 mln in one minute, completely selling out of its native AGI tokens. While this is an enormous amount of money to raise in an incredibly short period of time, it's somewhat unsurprising considering demand. The company asserts that the issue was massively oversubscribed, with 20,000 people registered to participate, seeking to buy $361 mln worth of tokens. "[Screening] all applicants using layers of algorithms, in addition to manual review, to comply with global KYC/AML regulations. This reduced the pool of contributors to 5,000, but also set a new standard for fundraising via Blockchain with respect to global legislation."

Cointelegraph talks with AI visionary Ben Goertzel, who shares with us his vision of the future of AI and computing, while also offering insights on how to guide an "artificial general intelligence" toward good, rather than evil. The author and researcher in the field of artificial intelligence, Goertzel is chairman of the Artificial General Intelligence Society and the OpenCog Foundation, Vice Chairman of futurist nonprofit Humanity, founder and CEO of SingularityNet, and chief scientist at Hanson Robotics. He has been working for years, along with a team of dozens researchers scattered around the globe, to create the world's first AI marketplace powered by Blockchain technologies. BG: I began my career as a mathematics Ph.D. in the 1980s. I was an academic for awhile, then I entered industry in the late 90's and I've been doing artificial intelligence applications in sort of every industry you can imagine from genetics, bioinformatics, and natural language processing.