FINRA, the non-profit organization that tasks itself with policing the securities industry, is charging Timothy Tilton Ayre of Agawam, Massachusetts with fraud and unlawful distribution of unregistered cryptocurrency securities.

Ayre claimed that users could buy equity in his company, Rocky Mountain Ayre, Inc., buy purchasing HempCoin, a cryptocurrency. From the release:

In the complaint, FINRA alleges that, from January 2013 through October 2016, Ayre attempted to lure public investment in his worthless public company, Rocky Mountain Ayre, Inc. (RMTN) by issuing and selling HempCoin – which he publicized as “the first minable coin backed by marketable securities” – and by making fraudulent, positive statements about RMTN’s business and finances. RMTN was quoted on the Pink Market of OTC Markets Group and traded over the counter.

According to the complaint, FINRA also alleges that in June 2015, Ayre bought the rights to HempCoin and repackaged it as a security backed by RMTN common stock. Ayre marketed HempCoin as “the world’s first currency to represent equity ownership” in a publicly traded company and promised investors that each coin was equivalent to 0.10 shares of RMTN common stock. Investors mined more than 81 million HempCoin securities through late 2017 and bought and sold the security on two cryptocurrency exchanges. FINRA charges Ayre with the unlawful distribution of an unregistered security because he never registered HempCoin and no exemption to registration applied.

Because FINRA is not a government body its charges are rarely very onerous but, in the case of brokerage fraud, Ayre could face further scrutiny of he tries to sell securities in the future. The company, Rocky Mountain Ayre, seems to be associated with a restaurant and medical marijuana sales operation, although it is unclear what the company actually does. Hempcoin seems to be trading at 2 cents currently and has very limited trading volume.

Researchers at the University of Maryland are adapting the techniques used by birds and bugs to teach drones how to fly through small holes at high speeds. The drone requires only a few sensing shots to define the opening and lets a larger drone fly through an irregularly shaped hole with no training.

Nitin J. Sanket, Chahat Deep Singh, Kanishka Ganguly, Cornelia Fermüller, and Yiannis Aloimonos created the project, called GapFlyt, to teach drones using only simple, insect-like eyes.

The technique they used, called optical flow, creates a 3D model using a very simple, monocular camera. By marking features in each subsequent picture, the drone can tell the shape and depth of holes based on what changed in each photo. Things closer to the drone move more than things further away, allowing the drone to see the foreground vs. the background.

As you can see in the video below, the researchers have created a very messy environment in which to test their system. The Bebop 2 drone with an NVIDIA Jetson TX2 GPU on board flits around the hole like a bee and then buzzes right through at 2 meters per second, a solid speed. Further, the researchers confused the environment by making the far wall similar to the closer wall, proving that the technique can work in novel and messy situations.

The team at the University of Maryland’s Perception and Robotics Group reported that the drone was 85 percent accurate as it flew through various openings. It’s not quite as fast as Luke skirting Beggar’s Canyon back on Tatooine, but it’s an impressive start.

Researchers at Carnegie Mellon University have created a method to turn one video into the style of another. While this might be a little unclear at first, take a look at the video below. In it, the researchers have taken an entire clip from John Oliver and made it look like Stephen Colbert said it. Further, they were able to mimic the motion of a flower opening with another flower.

In short, they can make anyone (or anything) look like they are doing something they never did.

“I think there are a lot of stories to be told,” said CMU Ph.D. student Aayush Bansal. He and the team created the tool to make it easier to shoot complex films, perhaps by replacing the motion in simple, well-lit scenes and copying it into an entirely different style or environment.

“It’s a tool for the artist that gives them an initial model that they can then improve,” he said.

The system uses something called generative adversarial networks (GANs) to move one style of image onto another without much matching data. GANs, however, create many artifacts that can mess up the video as it is played.

In a GAN, two models are created: a discriminator that learns to detect what is consistent with the style of one image or video, and a generator that learns how to create images or videos that match a certain style. When the two work competitively — the generator trying to trick the discriminator and the discriminator scoring the effectiveness of the generator — the system eventually learns how content can be transformed into a certain style.

The researchers created something called Recycle-GAN that reduces the imperfections by “not only spatial, but temporal information.”

“This additional information, accounting for changes over time, further constrains the process and produces better results,” wrote the researchers.

Recycle-GAN can obviously be used to create so-called Deepfakes, allowing for nefarious folks to simulate someone saying or doing something they never did. Bansal and his team are aware of the problem.

“It was an eye opener to all of us in the field that such fakes would be created and have such an impact. Finding ways to detect them will be important moving forward,” said Bansal.

A stablecoin is a cryptocurrency pegged 1-to-1 with another “stable” currency. In most cases, these coins are pegged to the US dollar and, as such, allow for true transfers of actual fiat currencies between parties using the blockchain. If you’re nodding off right now thinking about this, I would posit that these moves, however minor right now, are an important step forward in cryptocurrency acceptance.

The latest stablecoin to hit the virtual streets is the Gemini Dollar. This coin comes on the heels of the much-ridiculed Tether, a stablecoin created in 2014 that has been the the brunt of much criticism including suggestions that the team has been artificially pumping the currency with wash trades.

The new currency by Winklevoss-run Gemini is pegged directly to the US dollar on the Ethereum blockchain. This means that for every Gemini Dollar there is one actual dollar in a bank account. The Gemini Trust Company holds the deposits and has been officially accepted by the New York Department of Financial Services, the regulatory body associated with banking and finance.

The GD, in other words, is the first stablecoin to gain a truly official imprimatur.

“As the financial technology marketplace continues to evolve, New York is committed to fostering innovation while ensuring responsible growth. These approvals demonstrate that companies can create change and strong standards of compliance within a strong state regulatory framework that safeguards regulated entities and protects consumers,” said Department of Financial Services Superintendent Maria T. Vullo.

From the release:

DFS issued a limited purpose trust company charter to Gemini in October 2015 to operate a virtual currency exchange through which it offers customers services for buying, selling, sending, receiving, and storing virtual currency. DFS issued a limited purpose trust company charter in May 2015 to itBit, now Paxos Trust Company, which operates the itBit exchange, to offer services for buying, selling, sending, receiving, and storing virtual currency.

The NYDFS requires that the Gemini dollars “are fully exchangeable for a U.S. dollar” and that Gemini will maintain records of their movement. The requirements also include controls including AML and OFAC controls to present money laundering or terrorist financing. An independent accountant will examine the fiat-holding bank account to ensure that all of the stable coins are accounted for. You can convert and withdraw Gemini Dollars directly onto the Ethereum blockchain.

What all this means is that there is now a stable, regulated coin that should offset some of the traditional volatility of crypto. It’s an interesting – if limited – move by a big player in the crypto space.

What happens when you add AI to food? Surprisingly, you don’t get a hungry robot. Instead you get something like PixFood. PixFood lets you take pictures of food, identify available ingredients, and, at this stage, find out recipes you can make from your larder.

It is privately funded.

“There are tons of recipe apps out there, but all they give you is, well, recipes,” said Tonnesson. “On the other hand, PixFood has the ability to help users get the right recipe for them at that particular moment. There are apps that cover some of the mentioned, but it’s still an exhausting process – since you have to fill in a 50-question quiz so it can understand what you like.”

They launched in August and currently have 3,000 monthly active users from 10,000 downloads. They’re working on perfecting the system for their first users.

“PixFood is AI-driven food app with advanced photo recognition. The user experience is quite simple: it all starts with users taking a photo of any ingredient they would like to cook with, in the kitchen or in the supermarket,” said Tonnesson. “Why did we do it like this? Because it’s personalized. After you take a photo, the app instantly sends you tailored recipe suggestions! At first, they are more or le

ss the same for everyone, but as you continue using it, it starts to learn what you precisely like, by connecting patterns and taking into consideration different behaviors.”

In my rudimentary tests the AI worked acceptably well and did not encourage me to eat a monkey. While the app begs the obvious question – why not just type in “corn?” – it’s an interesting use of vision technology that is definitely a step in the right direction.

Tonnesson expects the AI to start connecting you with other players in the food space, allowing you to order corn (but not a monkey) from a number of providers.

“Users should also expect partnerships with restaurants, grocery, meal-kit, and other food delivery services will be part of the future experiences,” he said.

I hate LinkedIn. I open it out of habit and accept everyone who adds me because I don’t know why I wouldn’t. There is no clear benefit to the social network. I’ve never met a recruiter on there. I’ve never gotten a job. The only messages I get are spam from offshore dev teams and crypto announcements. It’s like Facebook without the benefit of maybe seeing a picture of someone’s award-winning chili or dog.

I understand that I’m using LinkedIn wrong. I understand I should cultivate a salon-like list of contacts that I can use to source stories and meet interesting people. But I have my own story-sourcing tools and my own contacts. It’s not even good as a broadcast medium. I have 16,000 connections. As a test I posted a story on LinkedIn and on Medium. It’s a post about how to write a book. If the spammers on LinkedIn would have loved to learn something from a writer, I suspected that would have been it. But no. Check out these read counts…

This is Medium:

And this is LinkedIn:

LinkedIn is a spam garden full of misspelled, grunty requests from international software houses that are looking, primarily, to sell you services. Because it’s LinkedIn it’s super easy to slip past any and all defenses against this spam and so I get messages like these on a daily basis:

I don’t know this for sure but I think that somewhere out there is a self-help book about networking that tells introverted desk jockeys to fill their conversations with canned junk. Gail, above, seems nice enough and he’s been doing a really nice job keeping up with all of my anniversaries. But why? What did it get him? Maybe I’ll meet him at a conference and he’ll be able to use it as a point of connection. That might be cool, but I doubt it will happen.

I know people have used LinkedIn to find jobs. I never have. I know people use LinkedIn to sell products. It’s never worked for me. Guys like my buddy Lewis Howes have used it to create mass followings but now Lewis is mostly showing up on Facebook and not LinkedIn. In short, I know people like LinkedIn.

I think it’s hot vomit in a paper bag.

How would I like LinkedIn to be used? Want to see the best pitch I ever got in that dead drop sewer? It’s right here:

Bang.

That’s the best exchange I’ve had on LinkedIn in years. I mean the very best. It’s one that I replied to kindly and with interest. Why? Because I wasn’t someone’s cheery spam message. It was a question that I could help with.

That’s it. It’s an actual conversation. Someone says “Hey, I need help” and the response is a quick “What’s up?” Someone on Twitter said that this exchange stroked my ego. Sure. Why not. But it was also the most human interaction I’ve had on LinkedIn in years.

Rather than get into that, however, I’d like to explain how to pitch someone like me — a busy journalist and entrepreneur who treats LinkedIn like a whack-a-mole weekly chore that has become more a bad habit than necessity.

As I’ve said before and will say forever: selling and PR and gathering customers is about being a human. Want to approach me on Twitter? You say “Hey, I have a question,” you ask it when prompted, and you wait for a response. Sometimes it never comes. You move on. A lot of folks have said they prefer a full chunk of text when the get spammed on services but I disagree. I get enough of that in email. I get enough of that everywhere else online. If you’re going to network with me (or anyone else who is equally cranky) you’re going to have to try something different. You’re going to have to try to be human.

So next time you’re encouraged to Control-V in some copypasta about your business, don’t. Next time you think it might be a good idea to say “Congragulations on fifteen years at Scrablr!” maybe take another tack. LinkedIn isn’t a game. It isn’t an alternative to MailChimp. It’s a conversational tool. Use it that way.

Unbound founders Polly Rodriguez and Sarah Jayne Kinney have long and varied careers. Rodriguez worked for U.S. Senator Claire McCaskill on Capitol Hill before heading to Deloitte Consulting and dating startup Grouper. Kinney was a graduate of University of Cincinnati worked at Puma and then at Esquire and O, Oprah’s magazine. She worked shooting products for fashion houses in New York.

The duo met in 2014.

Now they make fashion-forward vibrators. Their latest, the Palma, is the most fashion-forward yet and it just launched at TechCrunch Disrupt.

“Unbound is closing the very real orgasm gap by putting knowledge and product in the hands of women all over the world,” said Rodriguez. “Unbound is the first brand taking sexual wellness mainstream through elevated design and accessible pricing.”

The new device masquerades as a ring, offers multiple speeds, and is completely waterproof. It’s made of surgical grade steel and comes in silver or gold. Further, the team plans to add accelerometer features to the device. It will ship in 2019.

The team has raised $3.3 million in seed funding to date and are on track to hit $4 million in revenue in 2018.

They’ve been working on improving the state of the art when it comes to vibrators. They are, it seems, tired of the status quo.

“It’s important to note that vibrators are used in one of the most absorbent parts of the body and not regulated by the FDA. The lack of regulation results in manufacturers using carcinogens in their materials like parabens and phthalates. Unbound only uses medical grade silicone,” said Rodriguez.

Rodriguez’s message is simple: she wants to destroy the negative stereotypes around sex and health. And she has good reason.

“Each of us is motivated to change the stigmas associated with sexual health for different reasons. For me, it was going through menopause at 21 as a result of radiation treatment for cancer and ending up at a seedy shop on the side of the highway trying to buy lube and a vibrator. My doctors didn’t tell me I was going through menopause, only that I wouldn’t have children. As I got older, I realized that had I been a man, that conversation would have gone very differently… because we view male sexuality has a health need and female sexuality as a vice,” she said. “To put it in perspective, think about the fact that Bob Dole, a former presidential candidate was the spokesperson for Viagra. Can you imagine Hillary Clinton being the spokesperson for a vibrator brand? That’s the difference in how we view male vs. female (cis, femme, non-gender identifying) sexuality.”

“Our dream at Unbound is for female sexual health to be viewed through the same lens as male sexuality — as a part of our overall health that deserves a conversation, platform, and shopping experience that doesn’t feel like a flaming pile of garbage,” she said.

As a speaker I often find myself mumbling into a microphone with little thought about the sound system powering it. While most PAs are massive affairs requiring a soundboard operator and lots of wiring, I’ve also had to hoot into portable PAs, a practice I rarely relish. But who was I to judge the quality of a portable PA system? When JBL asked me to review their new $1,299 JBL Eon One Pro I decided to send it to a real professional, my childhood friend Rick Barr, who helped me tag-team on the review.

The most important reason that Rick liked the Eon One Pro was the built-in battery. Everything else, he said, was icing on the cake.

Rick is a professional musician, performing shows every weekend, and some weeknights, in a wide variety of venues. His go-to PA is the Bose L1 Model II with the B2 bass unit. It’s a beast in terms of sound quality and immersion, doesn’t take up much floor space, and really soars when used in outdoor environments.

We immediately recognized that a smaller, more portable unit could be extremely useful. He had just recently performed at a new outdoor event that wasn’t well-equipped with power and he had to come up with a makeshift solution. It worked, but the idea of being able to “cut the cord” to avoid all that was certainly appealing.

JBL says you can get up to six hours of battery life from the extended-life lithium-ion. In our tests, he was able to make it through three-hour shows without a problem. Charging it is as simple as plugging in the AC cord to the back. So, in short, we were pleased with the battery performance. Still, going cordless is all well and good, but it’s really the sound that matters. So, let’s take a look at what this unit can do.

The Eon One Pro weighs 37.5 pounds, and it’s all very compact. The 8” subwoofer is right up front, and you fit the 118 dB speaker array directly on top. This, and the two optional spacers, fit nicely in the back of the unit. The overall design of the Eon Pro really is nice. The spacers essentially increase the range of the speaker, so their usefulness is really dependent on your environment.

The 7-channel mixer features 2 Hi-Z inputs, 4 combo ¼” / XLR inputs, a 3.5mm jack, and an RCA input. Each of the 4 combo inputs has controls for volume, treble, bass, and reverb. This allows for very basic mixing, but if you prefer to have more options, it is easy enough to plug in an external mixer and run through that. In our tests, we used the on-board controls.

You can also stream from a mobile device via Bluetooth, or connect directly via USB. Rick connected via his cell phone using Bluetooth and found the overall sound to be extremely good. There is also phantom power for condenser mics and an XLR Pass Thru to other systems, as well as RCA output jacks for a monitor.

So, on to the show. The first venue Rick played in was your typical bar, with a medium-sized square room, wood floors, and a decent crowd. He was able to get set up in just 10 minutes, compared to 20 for my Bose. It took some extra time to adjust levels and once he started playing, just a little more tinkering got him where he needed to be. He did notice that he had to turn the volume up for his Sennheiser 935 mic quite a bit in order to match the guitar level, which leads to an interesting omission: lack of level meters. There are none, so you need to rely solely on your ears to get the right mix.

The speaker did a fine job of filling the room, while the subwoofer provided some nice depth to the overall sound. Rick had some friends out who sat just six feet in front of the speaker who said they weren’t overwhelmed by the volume and others will able to hear the music very clearly outside of the room.

The speaker covers 100 x 50 degrees, and while testing this at his shows, Rick stood slightly behind and to the side. This worked well enough, though in a noisy environment, having a monitor speaker might be helpful. He could hear the music pretty well, but it seems you’d want to be at least 90 degrees on either side, if not a little forward.

The second show we took the Eon One out to was another small bar, fairly narrow but long. It was completely different from the other bar in terms of dimensions, and a really good test of how far the speaker could project. Again, folks sitting up front were just fine with the volume, while people in the back, some 50-60 feet away, could hear it as well (and reported that it sounded very nice).

“I’d played at this venue before but this time, the electrical outlet wasn’t working. The girl at the bar didn’t know how to turn it on. This is something that rarely happens, but if I’d had my Bose or any other kind of amp, I would have been hosed. I hadn’t planned on testing the battery again but in this instance, it saved me,” Rick said.

Given that most offices purchase something like this at some point for broadcasting at meetings or meetups it makes sense to get something that works well for a gigging musician. Rick’s requirements – that this thing be reliable and sound great – is in line with the average desk jockey’s and the built in battery can save the day when it comes to situations where power is unavailable.

In a fascinating study by researchers at Cardiff University and MIT, we learn that robots can develop prejudices when working together. The robots, which ran inside a teamwork simulator, expressed prejudice against other robots not on their team. In short, write the researchers, “groups of autonomous machines could demonstrate prejudice by simply identifying, copying and learning this behavior from one another.”

To test the theory, researchers ran a simple game in a simulator. The game involved donating to parties outside or inside the robot’s personal group based on reputation as well as donation strategy. They were able to measure the level of prejudice against outsiders. As the simulation ran, they saw a rise in prejudice against outsiders over time.

The researchers found the prejudice was easy to grow in the simulator, a fact that should give us pause as we give robots more autonomy.

“Our simulations show that prejudice is a powerful force of nature and through evolution, it can easily become incentivised in virtual populations, to the detriment of wider connectivity with others. Protection from prejudicial groups can inadvertently lead to individuals forming further prejudicial groups, resulting in a fractured population. Such widespread prejudice is hard to reverse,” said Cardiff University Professor Roger Whitaker. “It is feasible that autonomous machines with the ability to identify with discrimination and copy others could in future be susceptible to prejudicial phenomena that we see in the human population.”

Interestingly, prejudice fell when there were “more distinct subpopulations being present within a population,” an important consideration in human prejudice as well.

“With a greater number of subpopulations, alliances of non-prejudicial groups can cooperate without being exploited. This also diminishes their status as a minority, reducing the susceptibility to prejudice taking hold. However, this also requires circumstances where agents have a higher disposition towards interacting outside of their group,” Professor Whitaker said.

In a fascinating study by researchers at Cardiff University and MIT, we learn that robots can develop prejudices when working together. The robots, which ran inside a teamwork simulator, expressed prejudice against other robots not on their team. In short, write the researchers, “groups of autonomous machines could demonstrate prejudice by simply identifying, copying and learning this behavior from one another.”

To test the theory, researchers ran a simple game in a simulator. The game involved donating to parties outside or inside the robot’s personal group based on reputation as well as donation strategy. They were able to measure the level of prejudice against outsiders. As the simulation ran, they saw a rise in prejudice against outsiders over time.

The researchers found the prejudice was easy to grow in the simulator, a fact that should give us pause as we give robots more autonomy.

“Our simulations show that prejudice is a powerful force of nature and through evolution, it can easily become incentivised in virtual populations, to the detriment of wider connectivity with others. Protection from prejudicial groups can inadvertently lead to individuals forming further prejudicial groups, resulting in a fractured population. Such widespread prejudice is hard to reverse,” said Cardiff University Professor Roger Whitaker. “It is feasible that autonomous machines with the ability to identify with discrimination and copy others could in future be susceptible to prejudicial phenomena that we see in the human population.”

Interestingly, prejudice fell when there were “more distinct subpopulations being present within a population,” an important consideration in human prejudice as well.

“With a greater number of subpopulations, alliances of non-prejudicial groups can cooperate without being exploited. This also diminishes their status as a minority, reducing the susceptibility to prejudice taking hold. However, this also requires circumstances where agents have a higher disposition towards interacting outside of their group,” Professor Whitaker said.

mSpy, a commercial spyware solution designed to help you spy on kids and partners, has leaked over 2 million records including software purchases and iCloud usernames and authentication tokens of devices running mSky. The data appears to have come from an unsecured database that allowed security researchers to pull out millions of records.

“Before it was taken offline sometime in the past 12 hours, the database contained millions of records, including the username, password and private encryption key of each mSpy customer who logged in to the mSpy site or purchased an mSpy license over the past six months,” wrote security researcher Brian Krebs.

Bug hunter Nitish Shah found the data and notified mSpy about the leak but couldn’t reach anyone who could shut it down. He showed Krebs how to access the data, which included personal data on customers.

mSpy is a platform that allows parents to see what their children are doing online and, presumably, allow partners to keep tabs on each other. The app allows you to monitor “WhatsApp, Snapchat, Facebook, and other messaging apps” and tracks calls, SMS, and GPS data.

mSpy has leaked data before and Krebs reported a hack in 2015 that the company denied for a full week. This latest leak is less a hack than an oversight in database control.

I’ve reached out to mSpy for clarity on the breach.

Lockheed Martin and the Drone Racing League are working together to make driverless drones much, much smarter. The project, aimed at bringing AI to commercial drone flyers, is “challenging teams to develop artificial intelligence (AI) technology that will enable an autonomous drone to race a pilot-operated drone – and win.”

The racers can win up to $2 million in prizes. Lockheed Martin Chief Technology Officer Keoki Jackson announced the challenge at TechCrunch Disrupt in San Francisco today.

“At Lockheed Martin, we are working to pioneer state-of-the-art, AI-enabled technologies that can help solve some of the world’s most complex challenges – from fighting wildfires and saving lives during natural disasters to exploring the farthest reaches of deep space,” said Jackson. “Now, we are inviting the next generation of AI innovators to join us with our AlphaPilot Innovation Challenge. Competitors will have an opportunity to define the future of autonomy and AI and help our world leverage these promising technologies to build a brighter future.”

Contestants will use NVIDIA’s Jetson platform to fly drones “without any pre-programming or human intervention” through a multi-dimensional race course. The contestants can win an extra $250,000 for creating an AI that outperforms a DRL human-piloted drone, a sort drone Turing test that could mean smarter drones for both amateur flyers and Lockheed’s own extensive drone programs.

Lockheed Martin is working with the Drone Racing League to bring the competitors in human-controlled drone racing into the AI future. The goal is to create a drone that flies as well – or better – than a human.

You can learn more here and the challenge opens in November.