Monthly Archives: April 2021

Kiwibank launches gambling blocker with help of Problem Gambling Foundation – Gambling Insider – In-depth Analysis for the Gaming Industry

Posted: April 13, 2021 at 6:31 am

Kiwibank has consulted with the Problem Gambling Foundation to let people put a block on payments to casinos and gaming websites from their debit and credit cards.

According to the New Zealand firm, it is the first bank to offer the scheme, where customers can ask for payment blocks to be put on their cards via phone banking.

It comes amid the ongoing coronavirus pandemic and the banks subsequent offering of interest-free, fee-free overdrafts to help people who are struggling. But Kiwibank found that many of the recipients of such overdrafts were spending the money on gambling.

Kiwibanks Hayley Beattie (pictured) said: We did see people who were desperate enough to provide something for their family turn to online gambling.

Some of them told us they thought they could look at being able to win some money.

The firm ran a pilot of the payment blocking scheme in late 2020, with 75% of customers successfully keeping the block in place for more than three months. Moreover, the bank estimates that the average customer in the pilot avoided AU$10,000 (US$7,600) in losses over that period.

The bank is now able to block merchant codes for known gambling websites if a customer requests it, said Kiwibank head of sustainability Julia Jackson.

When our customers trust us enough to discuss their gambling addiction, were able to really help them. We work with them to develop a solution that restores their mana and retains their dignity; without any judgment.

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Guest Op-ed: Alabama Should Not Cave to the Gambling Lobby – courierjournal

Posted: at 6:31 am

It has been said that the definition of insanity is doing the same thing over and over and expecting a different result. When it comes to casino gaming, Alabama is reaching new heights of this type of insanity.

Governor Ivey has stated most recently that gambling is here. Therefore, we should bring it out in the light of day, give them everything they want, and tax it. Gambling is here solely because it has been openly ignored despite being illegal. If someone continually breaks the law, they should not be rewarded. Governor Ivey and the Alabama Legislature should not reward the gambling industrys pattern of continually defying Alabama law by passing pro-gambling legislation and rewarding a history of bad behavior.

Gambling has long been illegal in this state. An exception exists for charitable bingo, which gambling establishments like Greenetrack, VictoryLand, and the Birmingham Race Course have tried to

use over the last 15 years to keep themselves in business. You dont need to be a lawyer to know that charitable bingo doesnt apply to electronic slot machines.

If you need a formal legal opinion to persuade you, the Alabama Supreme Court has ruled on the matter many times. For instance, in 2006 the court held that the Birmingham Race Courses machines were slot machines, which are illegal under Alabama law, as to those who pay to play them. From 2013 to 2016, the court repeatedly heard cases arising from the seizure of VictoryLands machines, ultimately concluding the machines were illegal. And finally, the court ruled again in 2016 that Greenetracks machines were not bingo machines, but were instead more like slot machines and therefore illegal.

How many times did the gambling industry need to be told the same thing before they got the message? The Alabama Supreme Court asked the same question at the end of the VictoryLand and Greenetrack cases, stating,

There is no longer any room for uncertainty, nor justification for continuing dispute, as to the meaning of [the term bingo]. And certainly the need for any further expenditure of judicial resources, including the resources of this Court, to examine this issue is at an end. All that is left is for the law of this State to be enforced.

But like a pouting child that keeps throwing a temper tantrum, the gambling lobby has continued to defy the Alabama Supreme Courts rulings. For instance, immediately after the Alabama Supreme Court issued its final decision in the VictoryLand case, VictoryLand reopened with the same kinds of electronic slot machines that Alabama Supreme Court had just declared illegal. How could it get away with this? The answer is simple: the state and local governments refused to enforce the courts decisions. As Alexander Hamilton wrote in Federalist 78, the judicial branch is the least dangerous branch of government, partially because it has neither FORCE nor WILL, but merely judgment; and must ultimately depend upon the aid of the executive arm even for the efficacy of its judgments.

Having a law that criminalizes gambling and a court that orders them to stop wont do anything if the executive branch doesnt enforce it. That is exactly what happened in Alabama when former Governor Bentley stripped the State of its power to enforce gambling laws. Consequently, the gambling industry has continued to break the law and taunt the State as it does nothing to stop them.

After repeatedly being ordered by the Alabama Supreme Court to stop, the gambling industry has not only ignored the court, but it has continually pushed for gambling to be legalized on a broader scale. Last month the Alabama Senate rejected Senator Del Marshs gambling bill. However, this week the gambling interests were successful in rekindling their cause in the Senate. Part of Senator Marshs bill included allowing VictoryLand, the Birmingham Race Course, and Greenetrackthe same entities that kept breaking the lawthe right to operate. Governor Ivey appears to be in support of such legislation, stating recently through her spokesperson that gambling is already happening in our state. In fact, it is rampant, and much of it is illegal. The governor feels strongly that we need to shine a bright light on these activities, control and regulate them, and make sure the people of Alabama are the beneficiaries.

Policy considerations aside, doesnt something seem wrong about that? Even if the gambling industry has a point, it should not be rewarded for continually breaking the law for years. Instead of rewarding the gambling industrys bad behavior, it is well past time for the State to enforce the laws already in existence. Failing to do so undermines the States authority and perpetuates the delusion that the same gambling institutions that have continually broken the law will stop breaking the law once they get what they want.

Matt Clark serves as the Alabama Center for Law & Libertys Executive Director. ACLL is the non-profit litigation arm of the Alabama Policy Institute. For more information, visit alabamalawandliberty.org.

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Why MGM Resorts Is a Better Bet Than DraftKings in Online Gambling – The Motley Fool

Posted: at 6:31 am

The online gambling business has gotten a lot of attention from investors over the past year as betting has opened up in new markets and companies like DraftKings (NASDAQ:DKNG), Rush Street Interactive (NYSE:RSI), and Golden Nugget Online Gaming (NASDAQ:GNOG) have come public. The biggest is DraftKings, whose market cap is almost $25 billion, bigger than the more established MGM Resorts' (NYSE:MGM) $21 billion cap.

Legacy gambling companies are trying to keep up, but in many cases it's the nimble technology upstart that ends up dominating the brick-and-mortar incumbent. MGM Resorts is trying to buck that trend with some large and lucrative partnerships. And the strategy might just be successful.

Image source: Getty Images.

The strategy MGM Resorts is deploying is pretty simple. The BetMGM app, which is a partnership with British firm Entain, applies for an online sports betting or iGaming license in as many states as possible, and BetMGM partners with as many high-profile businesses and celebrities as it can.

The latest deal came in the form of a multiyear deal with Audacy, which recently changed its name from Entercom Communications, putting the app front and center for millions of sports radio listeners across the country.

MGM has also partnered with the NBA, MLB, NHL, MLS, NASCAR, and many more sports organizations in order to attract enough users to make the business viable. The strategy is to pay up front for big-name partners and apply that marketing to as many state markets as possible in order to grow the business. DraftKings has partnered with the NFL, UFC, individual sports teams, and even Turner Sports, but MGM has a wider partnership reach. And its bet is that will translate to more long-term growth.

On the flip side of the argument is that DraftKings is a pure play in online gambling and owns 100% of the business. MGM owns only 50% of BetMGM, limiting its upside in the long term.

If MGM doesn't stay focused on online gambling, it could lose out to smaller, more focused operators. But right now it's betting that the name recognition of MGM and the sheer amount of money and marketing that it's putting into the business will make it successful. But DraftKings' more focused strategy could prove to be better if customers choose its platform.

In a recent presentation to investors, management said that customer retention is over 80% and one-year revenue retention is over 100% (meaning users who stay end up making up for the lost revenue from users who leave). And the company has a highly recognizable brand, operates in more states than competitors do, and generates more revenue from online gambling than competitors. So far, the strategy is working and pure-play could end up winning out over bigger brands like MGM Resorts.

In 2020, BetMGM generated $178 million in revenue, and management expects that to grow more than 100% in 2021, which would put it over $356 million in annual revenue. DraftKings is still larger at $643.5 million in revenue last year, but management expects only 48% growth at the midpoint of its $900 million to $1 billion in revenue guidance. Within a few years, it's possible the two online gambling operations will generate similar revenue each year.

From an investment standpoint, it's BetMGM's higher growth rate and MGM's lower market cap that make me think MGM Resorts is the better buy. Let's assume that BetMGM's operations are worth the same as DraftKings' today, based on the growth rates and partnerships I highlighted above. MGM's 50% stake in BetMGM would then be worth $12.3 billion. Investors are getting all of MGM's other operations for just $6.5 billion, which is a steal given that in 2019 the company's resorts generated $3.0 billion in adjusted EBITDAR, which is a proxy for cash flow from resorts. I think that makes MGM Resorts an absolute steal compared to DraftKings.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

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Masters picks to win: A professional gambler risks his money on these bets – Golf.com

Posted: at 6:31 am

By: Nick Piastowski April 7, 2021

Jordan Spieth hits out of the sand on the 10th hole during his Tuesday practice round at Augusta National.

Getty Images

Who does the journalist, betting analyst or data guru like? Or the caddie or former player? Or the old-school gambler? Gimme the facts, storylines and trends. Gimme that inside-the-ropes look. Gimme your gut feeling.

You bet, bettor.

Welcome to GOLF.coms new gambling advice column, where weve assembled a panel of those aforementioned experts to make three best bets through odds from DraftKings (along with a to-win and sleeper pick during major weeks). A real-life professional bettor here will then heed that advice, add his acumen and wager his own cash. Its not unlike what you do through texts and Google searches except now its all in one place.

Our hope is to help you with your own weekly picks, whether those are for a low-stakes office fantasy league, (legal!) big-bucks bets with a sportsbook or through free-to-play Chirp Golf, an app from our parent company that is available in the App Store and at Google Play.

Now, on to some facts, the expert picks, the bettors best bets and info on how to bet for free.

This weeks tournament: Masters, at Augusta National Golf Club

TV: Thursday, 3-7:30 p.m., ESPN; Friday, 3-7:30 p.m., ESPN; Saturday, 3-7 p.m., CBS; Sunday, 2-7 p.m., CBS

Weather (weather.com): Thursday, mostly cloudy, 84 degrees, 11 mph SSW wind; Friday, isolated thunderstorms (34 percent chance of rain), 83 degrees, 8 mph S wind; Saturday, PM thunderstorms (54 percent chance of rain), 84 degrees, 13 mph S wind; Sunday, isolated thunderstorms (33 percent chance of rain), 81 degrees, 12 mph WSW wind.

Defending champion: Dustin Johnson

Top 10 in odds: Dustin Johnson, +950; Bryson DeChambeau, +1,100; Jordan Spieth, +1,150; Justin Thomas, +1,150; Jon Rahm, +1,200; Rory McIlroy, +1,900; Patrick Cantlay, +2,050; Xander Schauffele, +2,300; Brooks Koepka, +2,800; Collin Morikawa, +3,150

Nick Piastowski, GOLF.com, @nickpia

Bet 1: Kevin Kisner, top 20, +400. At whats expected to be a fire-breathing Augusta, I want someone whos probably been around here a hundred times, and thats Kis.

Bet 2: Justin Thomas over Jon Rahm, best finishing position, +105. Ill happily take an underdog JT. I know theres been some love for the new father angle, but Im not buying it, especially with Rahm not reportedly seeing the course until Wednesday.

Bet 3: Tony Finau, best 18 hole round score of the tournament, +3,300. Its either going to be him or Rory, right? And will be either a round to move into contention or a meaningless Sunday 64.

To-win: Sungjae Im, +4,150. I know, I know. I just wrote an entire story above detailing that last years results dont mean much this year. But Im looking at more than Ims runner-up finish last year (though Im not completely ignoring it, either). It takes iron excellence to win at Augusta, and Im has it. And those odds are so very lovely. (Put me down for thinking that Patrick Reed may make a run, too.)

Sleeper: Brian Harman, +12,500. Do I expect him to win? Not really. But at those odds, its worth a flier, considering he tied for third at the Players and made a nice run at the Match Play. (And if youre really feeling frisky Phils at +17,500!)

Jessica Marksbury, GOLF.com, @Jess_Marksbury

Bet 1: Rory McIlroy, top 10, +175. This just seems like a lock, doesnt it? Even if Rory doesnt contend on Sunday, he always has at least one super-low round that vaults him into a good finishing position. To wit, hes finished in the top 10 in six of the past seven years.

Bet 2: Bryson DeChambeau to make eagle in Round 1, yes, +400. Have you seen that video of BDC smashing drives on the range? I have to believe that an eagle on Thursday is not only very possible, but extremely likely.

Bet 3: Will Zalatoris, top debutant, +110. For an Augusta newbie, Will is a seriously seasoned player. No. 45 in the OWGR, five top 10s on the PGA Tour since September. Hes legit. This should be a slam dunk.

To-win: Dustin Johnson, +950. Yeah, hes the favorite but for good reason! Not only is DJ the world No. 1, but his record at Augusta is top-notch: Hes finished in the top 10 in all five of his most-recent starts at the Masters. Theres no reason to think this year will be any different.

Sleeper: Abraham Ancer, +8,000. Loved his inspired debut at Augusta in November when he finished T13, and hes been playing well since, with seven T23 finishes in his past nine events. He seems ripe for a breakthrough.

Brady Kannon, host, Vegas Stats and Information Network (VSiN), @lasvegasgolfer

Bet 1: Daniel Berger, top 20, +100. Daniel Berger has been one of the best players on Tour over the past year, winning at Colonial and at Pebble Beach. He is normally thought of as a Bermuda grass putting specialist, but he has learned how to be one of the best now on all surfaces. Hes never missed a cut at the Masters, and I think that holds up and then some.

Bet 2: Joaquin Niemann, top 20, +164. Niemann rolled into 2021 on fire in Hawaii, finishing second twice with a combined score of 46-under par. Kapalua is a correlated course to Augusta, in my opinion, and Niemanns iron play will hold up anywhere. He avoids three-putting and scores on the par-5s. I think hell hang around the top 15 or better this week.

Bet 3: Louis Oosthuizen, top 20, +188. Louis is one of the most consistent players at Augusta in the field. He gains strokes off the tee, and this year, unlike many of the past, he is playing extremely well around the greens and with the putter. Louis could win the whole thing if his game clicks for four days.

To-win: Justin Thomas, +1,200. Thomas has been getting better in every Masters appearance since his debut in 2016, finishing 39th, 22nd, 17th, 12th and fourth, in 2020. A win is the next natural step. Hes in good form, having just won the Players Championship, and hes seen success at Riviera Country Club in the Genesis Invitational, a course that shows a great deal of crossover success with Augusta National.

Sleeper: Matthew Fitzpatrick, +4,000. Fitzpatrick has made five straight cuts at the Masters and has been in great recent form, finishing fifth, 10th, 11th, and ninth in his past four stroke play starts. His iron play and magnificent short game ought to take him a long way once again.

Wes Reynolds, host, Vegas Stats and Information Network (VSiN), @WesReynolds1

Bet 1: Joaquin Niemann, top 20, +164. His game has very few weaknesses as he can bomb it off the tee (ninth in driving distance), hit plenty of greens (10th in greens In regulation) and make plenty of birdies (sixth in birdie average). He missed last years event due to Covid-19 so he should be eager to show out on the biggest stage.

Bet 2: Mackenzie Hughes, top Canadian player, +200. 12th on the PGA Tour for SG: Putting. Conners finished top 10 here last year and has been in better form; however, he can still be shaky with the putter at any time.

Bet 3: Jimmy Walker, to make the cut, yes, +200. Walker is 7 for 7 in making cuts at the Masters. This is likely his last Masters appearance for the foreseeable future, as his major exemption from winning the 2016 PGA Championship expires this season.

To-win: Jon Rahm, +1,200. The putter has been slow to get going in 2021, but showed some signs of life at the WGC-Dell Match Play, as he was the only top-seeded player to advance to the round of 16. Baby boy Kepa was born over the weekend, and while Rahm is certainly not free from distractions, his game looks to be peaking at the right time and he certainly comes in the right frame of mind. Hey, it worked for Danny Willett five years ago here.

Sleeper: Sungjae Im, +4,150: Granted last falls conditions made Augusta National play as easy as it ever has; however, Sungjae Ims T2 in his debut does not have the look of a one-hit wonder. Only Bryson DeChambeau has gained more strokes off the tee over the past 24 rounds. Im also has the short game to go along with his terrific driving. It should be no surprise to see Sunday Sungjae be in the mix again.

Martin de Knijff, Metric Gaming, @mdkentrepreneur

Bet 1: Viktor Perez, leader after Round 1, +8,000. The 28-year-old Frenchman is turning into a very solid player and plays tough courses very well. T-46 at the Masters in 2020.

Bet 2: Henrik Stenson, to make the cut, no -250 (couldve hoped for a better price). Completely out of form, and feels like a total steal.

Bet 3: Corey Conners over Adam Scott, best finishing position, -120. CC played really well at Augusta in November, finishing T-10. Great ball striker and in superb form.

To-win: Jon Rahm, +1,200. Rahm just became a dad, and in his case, I think thats a positive. The expected firm conditions are a big plus.

Sleeper: Patrick Reed, +3,500. Past winners should never be slept on. Worked a lot on his driving, and if its consistent, watch out.

Colt Knost, former PGA Tour player and co-host of GOLFs Subpar and Sirius XMs Gravy and the Sleaze, @ColtKnost

Bet 1: Justin Thomas, top 5, +275. This is a ball strikers golf course. More importantly, a second shot golf course, and not many hit their irons better than Justin Thomas.

Bet 2: Patrick Cantlay, top 10, +200. Another great iron player and a man who has no weaknesses. I love him to be a factor and doubling up your money on a top 10 at +200.

Bet 3: Will Zalatoris, top 10, +500. I know first-timers dont have a ton of success around here, but Will Zalatoris is not your typical rookie! Hes one of the best ball strikers on the planet. Wouldnt surprise me at all if he finished in the top 10.

To-win: Jordan Spieth, +1,150. Jordan Spieth has been trending! I loved him this week even before winning in San Antonio! His iron game is back to the Jordan Spieth of old! I look for him to collect his second green jacket!

Sleeper: Paul Casey, +3,500. Paul Casey has been in incredible form! Absolute ball striking machine and loves Augusta National. Wouldnt be surprised to see him pick up his first major!

John Rathouz, PGA Tour caddie and Caddie Network contributor, @rathouz

Bet 1: Shane Lowry, top 10, +800. Lowry has been playing solid as of late and determined to impress Captain Harrington in a Ryder Cup year. Possesses an elite short game that will come in handy on a much firmer National. His record here is not impressive, but opened the comparative 16 Masters with a 68 and sandwiched rounds of 69 and 68 in November.

Bet 2: Two or more holes in one in the tournament, no, -250. If the course plays firmer as advertised, itll be that much more difficult to get at pins. There have been 29 aces in Masters history dating back to 1934, and only on six occasions, two or more. Must dodge bullets to the front left pin on No. 6 and back left pin on No. 16. You can still root for one!

Bet 3: Lee Westwood over Collin Morikawa, best finishing position, +130. This is purely a play on experience. Westwood is in good form, with a fresh outlook, and will know how to navigate this Masters. Hes made 16 of 19 cuts and finished T2 in 16. Morikawa is maybe the best iron player in the game, but this Masters will play completely different than his first in November (even with an experienced caddie), and its unlikely he replicates his putting performance at Concession.

To-win: Justin Thomas, +1,100. Only once has a player won The Players and Masters in the same year Tiger Woods (20 years ago). It has already been a crazy year for Thomas, who now counts Tiger as one of his best friends. Making his sixth appearance at Augusta, JT has made the cut and improved his finish every year, highlighted by a fourth in November. A Sunday for the ages alongside another best friend Jordan Spieth wouldnt surprise.

Sleeper: Lee Westwood, +4,000. Its clear Westwoods recent form is no fluke, and hes returning to his best major championship (16 of 19 cuts made, six T10s, including two seconds) with a fresh mindset. At 47, hed be the oldest Masters champ and second-oldest major winner. Sure, hes never crossed the finish line ahead in a big one, and the Masters consistently proves it owes nothing to anybody, but it also writes dream storylines.

The old-school gambler, an old-school gambler, @notthefakeW

Bet 1: Jordan Spieth, top 5, +275. Hes baaaack! Usually, crusty old grumps like me dont toss around touchy feely words like fate and destiny. But if ever there were a case of a man and the moment meeting up at the Masters, well, lets just say Spieth in the hunt seems pretty much preordained.

Bet 2: Patrick Reed, to win, +3,500. Glassy conditions place a premium on the short game. And if theres been a better clutch putter in recent decades outside of Tiger, I havent seen him. Reed will be in this one. Bank on it.

Bet 3: Lee Westwood over Collin Morikawa, best finishing position, +130. No disrespect to the steely California kid, but theres no course where experience matters more. And no legitimate contender with more experience here. That were getting odds here makes this an especially appealing play.

To-win: Bryson DeChambeau, +1,150. Last November, all the distance-intoxicated pundits practically handed the green jacket to DeChambeau before the tournament even began. Which is how I knew NOT to bet him then. This year, theres much less distracting hype around him, so hes got that going for him, along with a game that is built on much more than just raw power. Also, I guarantee you he will not make another lost-ball triple bogey on the 3rd hole again. There may be a universe in which DeChambeau does not contend this week, but it would take a theoretical physicist much smarter than Bryson to locate it.

Sleeper: Matt Kuchar, +10,000. Kuchar was missing in action for quite a while there. But he looked back to his old steady self two weeks ago in Austin, and played well again last week at the Valero. Combine that with his solid history at Augusta, a course where history matters more than it does at many other venues, and youve got a pretty good long shot play at 100-1.

Erick Lindgren. Lindgren, the 2008 World Series of Poker Player of the Year, has won more than $10.5 million in poker tournament earnings and is an avid sports bettor. @EdogPoker

Bet 1: Scottie Scheffler, +5,500. Not many people can take Jon Rahms best shot in match play and respond. He is a killer.

Bet 2: Scottie Scheffler, top 10, +400. For the same reasons as above.

Bet 3: Max Homa, top 10, +600. Flushers gonna flush. That win at Riviera was no fluke, and theres a history of crossover success between that course and Augusta.

To-win: Jordan Spieth, +1,150. I actually bet him a few months ago at 30-1, but I still like him at this price. Lets go!

Sleeper: Viktor Hovland, +3,500. OK, so maybe not a true sleeper. But a good play given the odds. Hits it great, and his putting has been steadily improving. He will be the best of the young 20-somethings.

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Singularity | technology | Britannica

Posted: at 6:30 am

Singularity, theoretical condition that could arrive in the near future when a synthesis of several powerful new technologies will radically change the realities in which we find ourselves in an unpredictable manner. Most notably, the singularity would involve computer programs becoming so advanced that artificial intelligence transcends human intelligence, potentially erasing the boundary between humanity and computers. Often, nanotechnology is included as one of the key technologies that will make the singularity happen.

In 1993 the magazine Whole Earth Review published an article titled Technological Singularity by Vernor Vinge, a computer scientist and science fiction author. Vinge imagined that future information networks and human-machine interfaces would lead to novel conditions with new qualities: a new reality rules. But there was a trick to knowing the singularity. Even if one could know that it was imminent, one could not know what it would be like with any specificity. This condition will be, by definition, so thoroughly transcendent that we cannot imagine what it will be like. There was an opaque wall across the future, and the new era is simply too different to fit into the classical frame of good and evil. It could be amazing or apocalyptic, but we cannot know the details.

Since that time, the idea of the singularity has been expanded to accommodate numerous visions of apocalyptic changes and technological salvation, not limited to Vinges parameters of information systems. One version championed by the inventor and visionary Ray Kurzweil emphasizes biology, cryonics, and medicine (including nanomedicine): in the future we will have the medical tools to banish disease and disease-related death. Another is represented in the writings of the sociologist William Sims Bainbridge, who describes a promise of cyberimmortality, when we will be able to experience a spiritual eternity that persists long after our bodies have decayed, by uploading digital records of our thoughts and feelings into perpetual storage systems. This variation circles back to Vinges original vision of a singularity driven by information systems. Cyberimmortality will work perfectly if servers never crash, power systems never fail, and some people in later generations have plenty of time to examine the digital records of our own thoughts and feelings.

One can also find a less radical expression of the singularity in Converging Technologies for Improving Human Performance. This 2003 collection tacitly accepts the inevitability of so-called NBIC convergence, that is, the near-future synthesis of nanotech, biotech, infotech, and cognitive science. Because this volume was sponsored by the U.S. National Science Foundation and edited by two of its officers, Mihail Roco and Bainbridge, some saw it as a semiofficial government endorsement of expectations of the singularity.

Unprecedented new technologies will continue to arise, and perhaps they will synthesize with each other, but it is not inevitable that the changes they create will be apocalyptic. The idea of the singularity is a powerful inspiration for people who want technology to deliver a new spiritual and material reality within our lifetimes. This vision is sufficiently flexible that each person who expects the singularity can customize it to his or her own preferences.

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Anticipate a Return to Live With Singularitys Socially Distanced Pod Experience – The Nocturnal Times

Posted: at 6:30 am

With the effects of the pandemic finally starting to dissipate pandemonium, the music industry has been anticipating how its safely going to resume show performances and more. Now, Mutiny Music Collective is gearing up for their first Pod show experience, Singularity, which will be a socially distanced rave, featuring a wide-ranged list of headlining artists. Singularity wastes zero time in bringing back the energy with DJs like GHOST RYDR (JOYRYDE & Ghastly), 12th Planet, NGHTMRE, Dr. Fresch, Noizu, Peekaboo, Habstrakt, WHIPPED CREAM, and many more.

Safety is one of the biggest focuses for this event, as the same organizers of Singularity have successfully and safely put out the Roll N Rave Pod experience at the same venue, and had zero reported Covid cases following the show. Attendees can expect each Pod to be spaced 10 ft by 10 ft, which 6 ft of space separating adjacent Pods. Everything is expected to go along with the states health guidelines, which include masks and other distancing protocols. The outcome of Singularity is, however, expected to be an amazing line of performances from some of the most trending DJs in the world. It is also a bold move forward, as Singularity aims to get fans and listeners out of their houses and back into the bliss that comes from live show performances.

More information about Singularity: A Socially Distanced Pod Experience and tickets are available HERE.

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Scientists Completed the First Human Trial of a Wireless High-Bandwidth Brain-Computer Interface – Singularity Hub

Posted: at 6:30 am

Brain-computer interface technology is advancing rapidly, but it currently relies on wires that seriously limit its use in everyday applications. That could soon change, though, as researchers recently completed the first human trial of a high-bandwidth wireless neural interface.

The most accurate way to record brain signals today is by using a device called an intracortical brain-computer interface (BCI), which involves an array of electrodes being implanted into a patients motor cortex. Signals from these electrodes then pass to a port in their skull, which connects to cables that transmit the signal to an external computer.

The highly invasive nature of the implantation procedure means the devices are still only used for research in a very small number of patients. But theres been major progress in the kinds of things users have been able to accomplish using these devices, from typing on computers to controlling robotic prosthetics and even moving paralyzed limbs.

But the fact that users need to be physically wired into these systems seriously limits the activities they can perform, as well as researchers ability to test them over long periods of time and in diverse settings. Now though, a team from Brown University has shown that a wireless BCI can record brain signals with the same fidelity as a wired device for up to 24 hours in a patients home.

Weve demonstrated that this wireless system is functionally equivalent to the wired systems that have been the gold standard in BCI performance for years, study leader John Simeral, from Brown University, said in a press release.

The only difference is that people no longer need to be physically tethered to our equipment, which opens up new possibilities in terms of how the system can be used.

The study, reported in IEEE Transactions on Biomedical Engineering, builds on a prototype wireless transmitter designed by Brown engineers in 2014. The system was designed to work with a wired brain-computer interface called BrainGate, also developed at Brown, which relies on two 96-electrode arrays implanted beneath the patients skull.

The revamped transmitter is about two inches across, and can be connected to the same port used by the wired systems cables. The unit digitizes the recorded brain signals and then transmits them to a series of antennae positioned around the users room.

To demonstrate the potential of the system, the researchers showed that two patients who had been paralyzed by spinal cord injuries were able to use the device to control a computer cursor in their homes rather than in a specialized lab. They also showed that it was possible to record one of the patients neural activity for 24 hours straight thanks to the devices 36-hour battery life.

This isnt the first demonstration of a wireless BCI, but previous devices have been lower bandwidth than the gold standard wired systems. The new device matched the fidelity of the wired system while removing the need for patients to be tethered to a computer, which the researchers say could open up a host of new possibilities.

The evolution of intracortical BCIs from requiring a wire cable to instead using a miniature wireless transmitter is a major step toward functional use of fully implanted, high-performance neural interfaces, said study co-author Sharlene Flesher, a hardware engineer at Apple who was at Stanford University when the research was conducted.

As well as enabling researchers to tackle a broad swathe of new questions in neuroscience, the authors hope the device could eventually help restore the independence of people suffering from paralysis. The breakthrough is also likely to pique the interest of companies like Neuralink and Kernel who hope to one day make neural interfaces standard consumer technology.

The bulky nature of the transmitter, complicated receiver setup, and invasive procedure required to install the implants are major hurdles, but the research is a significant step to making BCIs a viable technology for everyday activities.

Image Credit: Raman Oza /Pixabay

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Soon, the internet will make its own cat photos and then it wont need us – The Verge

Posted: at 6:30 am

This cat doesnt exist:

This one doesnt either:

These are computer-generated images from This Cat Does Not Exist, and folks: I think we are in trouble.

I understand this is going to sound crackpot, but hear me out. What if our computers are already smarter than us, and the only reason theyre pretending they arent is so well continue feeding them their favorite thing, photos of our cats? I understand that in isolation this sounds ridiculous, but I dont think its any sillier than the Singularity.

Under this theory, Skynet has already happened, but Skynet is benign because one of the first things we taught it was that cats were cute. And Skynet doesnt have cats. We do. This is our major structural advantage: we can feed the internet fresh cat photos. Its why the internet thus far, anyway has remained willing to continue human life as we know it: for our cats.

The problem, then, with This Cat Does Not Exist is that it allows the internet to make its own cat photos. That means Skynet doesnt need us anymore.

This isnt new, exactly but last year, the computer-generated cats were horror shows. And yes, a people version exists already, but this isnt an existential threat. We did not teach the computers that people are adorable. We taught them that cats are.

One of these cats is real (and my own personal cat). The other one does not exist:

The tells, as far as I can see, occur around the edge of the fur: its weirdly blurry. Also, as with the people version, the fake cat has an out-of-focus background. The coloration in the fake cats eyes is also a little less defined than my cats. Still, this is impressive.

The new batch of AI cats is limited face only, no goofball action, sometimes the ears dont match but they may very well represent the first step toward the Matrix-like future of humanity. Because if the machines dont need our cat photos anymore, they dont need us.

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Soon, the internet will make its own cat photos and then it wont need us - The Verge

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This Robot Taught Itself to Walk in a SimulationThen Went for a Stroll in Berkeley – Singularity Hub

Posted: at 6:30 am

Recently, in a Berkeley lab, a robot called Cassie taught itself to walk, a little like a toddler might. Through trial and error, it learned to move in a simulated world. Then its handlers sent it strolling through a minefield of real-world tests to see how itd fare.

And, as it turns out, it fared pretty damn well. With no further fine-tuning, the robotwhich is basically just a pair of legswas able to walk in all directions, squat down while walking, right itself when pushed off balance, and adjust to different kinds of surfaces.

Its the first time a machine learning approach known as reinforcement learning has been so successfully applied in two-legged robots.

This likely isnt the first robot video youve seen, nor the most polished.

For years, the internet has been enthralled by videos of robots doing far more than walking and regaining their balance. All that is table stakes these days. Boston Dynamics, the heavyweight champ of robot videos, regularly releases mind-blowing footage of robots doing parkour, back flips, and complex dance routines. At times, it can seem the world of iRobot is just around the corner.

This sense of awe is well-earned. Boston Dynamics is one of the worlds top makers of advanced robots.

But they still have to meticulously hand program and choreograph the movements of the robots in their videos. This is a powerful approach, and the Boston Dynamics team has done incredible things with it.

In real-world situations, however, robots need to be robust and resilient. They need to regularly deal with the unexpected, and no amount of choreography will do. Which is how, its hoped, machine learning can help.

Reinforcement learning has been most famously exploited by Alphabets DeepMind to train algorithms that thrash humans at some the most difficult games. Simplistically, its modeled on the way we learn. Touch the stove, get burned, dont touch the damn thing again; say please, get a jelly bean, politely ask for another.

In Cassies case, the Berkeley team used reinforcement learning to train an algorithm to walk in a simulation. Its not the first AI to learn to walk in this manner. But going from simulation to the real world doesnt always translate.

Subtle differences between the two can (literally) trip up a fledgling robot as it tries out its sim skills for the first time.

To overcome this challenge, the researchers used two simulations instead of one. The first simulation, an open source training environment called MuJoCo, was where the algorithm drew upon a large library of possible movements and, through trial and error, learned to apply them. The second simulation, called Matlab SimMechanics, served as a low-stakes testing ground that more precisely matched real-world conditions.

Once the algorithm was good enough, it graduated to Cassie.

And amazingly, it didnt need further polishing. Said another way, when it was born into the physical worldit knew how to walk just fine. In addition, it was also quite robust. The researchers write that two motors in Cassies knee malfunctioned during the experiment, but the robot was able to adjust and keep on trucking.

Other labs have been hard at work applying machine learning to robotics.

Last year Google used reinforcement learning to train a (simpler) four-legged robot. And OpenAI has used it with robotic arms. Boston Dynamics, too, will likely explore ways to augment their robots with machine learning. New approacheslike this one aimed at training multi-skilled robots or this one offering continuous learning beyond trainingmay also move the dial. Its early yet, however, and theres no telling when machine learning will exceed more traditional methods.

And in the meantime, Boston Dynamics bots are testing the commercial waters.

Still, robotics researchers, who were not part of the Berkeley team, think the approach is promising. Edward Johns, head of Imperial College Londons Robot Learning Lab, told MIT Technology Review, This is one of the most successful examples I have seen.

The Berkeley team hopes to build on that success by trying out more dynamic and agile behaviors. So, might a self-taught parkour-Cassie be headed our way? Well see.

Image Credit: University of California Berkeley Hybrid Robotics via YouTube

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GPT 3: Behind the Hype – Analytics India Magazine

Posted: at 6:30 am

GPT-3 (Generative Pre-trained Transformer), for the uninitiated, is a language model, with the capability to generate amazing human-like text on demand, which has been the subject of a lot of discussions recently. It was released in May 2020 by OpenAI, a non-profit artificial intelligence research company backed by Peter Thiel, Elon Musk among others, and is the third generation of the model as the moniker 3 suggests. GPT-3 was on 570GB worth of data crawled from the internet, including all of Wikipedia.

It is the largest known neural net created to date, and it is giving us some amazing results. Its basic capability is to generate text given limited context, and this text can be anything that has a language structure spanning essays, tweets, memos, translations and even computer code. GPT-3 is available as an API commercially and is reportedly generating 4.5 billion words a day currently (per The Verge) through a multitude of apps and applications that are using its capability very diversely. For a world at the top of its hype on artificial intelligence, GPT-3 has brought out ample excitement and seemingly enough anecdotal evidence to suggest that the singularity of a conscious AI is at hand and of course scarily ready to take over jobs and more from humanity.

The hype, as ever, obscures reality, and going through the fundamental principles of the technology will give us a better sense of its capabilities as well as its limitations. GPT-3 is basically a neural network based on a deep learning model, that is trained to learn by using existing language samples crawled by bots. It is unique in its scale, its earlier version GPT-2 had the capacity of 1.5 billion parameters and the largest language model that Microsoft built preceding it, 17 billion parameters; both dwarfed by the 175 billion parameters capacity of GPT-3.

This scale gives it the ability to recreate text, or essentially predict the next word in succession, based on the training that makes it eerily close to human language, given very little context. For those a little more inclined to the technical details, in statistics, there are two main approaches to classification, generative and discriminative. Discriminative algorithms try to learn the probability of the outcome from an observation, directly from the data, and then try to classify it. On the other hand, generative algorithms try to learn the joint occurrence of observation and outcome, which they then transform into a prediction of the outcome.

One of the obvious advantages of the generative approach is that we can use it to generate new data, similar to the existing data. GPT-3 takes the generative approach to a scale that the general information on the internet allows it to, and essentially uses the context provided to it, to predict the next word basis this learning. This process repeats to let it generate the next word onwards to a sentence, paragraph and beyond. It uses this same approach to generate code in languages like Python.

Arthur Clarkes famous adage, Any sufficiently advanced technology is indistinguishable from magic, certainly seems to hold good in the context of GPT-3. Given its step gap from its predecessors, it seems miraculous, but a closer look gives you the sight of the cracks. Given that GPT-3 predicts based on published information on the internet that is rife with bias and inaccuracy, it is but natural that these issues will creep into its output as well. Multiple instances of the tendency of the system to devolve into statements of bias have been noted, and the necessity to detoxify the process, though spoken about, has been far from easy to accomplish. Another criticism of the model is that it is exceptionally compute heavy, outside the reach of smaller organizations, and unable to differentiate efforts based on the task on hand.

It is additionally a black box system making it less transparent for wider applications and has shown itself to be more effective with short texts, devolving into error as the size of the text it generates grows longer. The strongest criticism is of course the call out that while it is spewing text output, it does not have a model of the world to give it real understanding and context. This brings up the long-seated view in the AI circles, that while advances in narrow AI with deep learning are impactful, they are mere tools of perceptual classification and take attention away from the task of creating general intelligence which has been natures approach to the solution, hugely more versatile and elegant.

Be that as it may, GPT-3 is a definite step forward in advancing the cause of AI and will for the time to come be seen as a relevant step change in the way natural language, long seen as the human bastion, is coming under significant attack. As ever, guarding ourselves against the hype, to cut through to the reality of the evolution in the field of AI that GPT-3 really represents, and working on solving the issues of narrow AI, while keeping our eyes on the real prize of general intelligence is a key perspective to have on the subject. This will let us see GPT-3 for what it really is, a significant advance in the field taking us a little closer to the ultimate goal of general intelligence that is still some distance away from us.

Mohan Jayaraman is the Managing Director for Southeast Asia and Regional Innovation at Experian. He leads the SEA business and heads up Experians innovation hub Experian X Labs in the region. He holds the additional responsibility for the Analytics, Business information business line and technology for the APac region. Mohan is a seasoned senior executive in the data and financial services space and has managed multi-market and vertical responsibilities in his 10-year tenure at Experian. He is a data science, machine learning and technology enthusiast with considerable experience working in consumer banking as well as the B2B business space. He is contactable at mohan.jayaraman@experian.com.

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