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Moonday Mornings: South African Bitcoin Ponzi scheme rakes in $135,000 a day

Jun17
by on June 17, 2019 at 8:47 am
Posted In: Around the Web, blockchain, cryptocurrency, Hard Fork


It’s the start of a new week and that means it’s time for Moonday Mornings, Hard Fork’s wrap-up of the top cryptocurrency and blockchain headlines from the weekend. 1. Local news in South Africa is reporting about a cryptocurrency Ponzi scheme. It’s dubbed “Bitcoin Wallet,” and promises returns of 100 percent in 15 days. The scam is estimated to be generating R2 million ($135,000) every day. 2. Bitmain is suing three former staffers after they set up a rival mining pool. The cryptocurrency mining hardware firm is going after $4 million in damages, claiming the trio ignored non-compete agreements, CoinDesk…

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PSA: Set your Venmo transactions to private right now

Jun17
by on June 17, 2019 at 7:24 am
Posted In: Around the Web


A new research study has found that Venmo continues to make it easy for third-parties to scrape users’ public transaction history without their permission. Dan Salmon, a computer science student at Minnesota State University, has published a new data set of over seven million Venmo transactions on GitHub collected over a six month period. “I am releasing this dataset in order to bring attention to Venmo users that all of this data is publicly available for anyone to grab without even an API key,” Salmon wrote on the GitHub page, while warning users to change their privacy settings. The development…

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MIT’s new AI for robots can ‘feel’ an object just by seeing it

Jun17
by on June 17, 2019 at 5:44 am
Posted In: Around the Web, artificial intelligence


Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a brand new AI that can feel objects just by seeing them – and vice versa.  The new AI can predict how it would feel to touch an object, just by looking at it. It can also create a visual representation of an object, just from the tactile data it generates by touching it. Yunzhu Li, CSAIL PhD student and lead author on the paper about the system, said the model can help robots handle real-world objects better:  By looking at the scene, our model can imagine the…

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