A team of scientists has observed, for the first time, the presence of warm water at a vital point underneath a glacier in Antarctica--an alarming discovery that points to the cause behind the gradual melting of this ice shelf while also raising concerns about sea-level rise around the globe.

Just released first images from the National Science Foundation's Daniel K. Inouye Solar Telescope reveal unprecedented detail of the Sun's surface and preview the world-class products to come from this preeminent 4-meter solar telescope. NSF's Inouye Solar Telescope, on the summit of Haleakala, Maui, in Hawai'i, will enable a new era of solar science and a leap forward in understanding the Sun and its impacts on our planet.

Several groups of reptiles persisted in Jurassic Africa even as volcanism ruined their habitat

The Society for Laboratory Automation and Screening (SLAS) announced the winners of its annual New Product Awards Monday afternoon at the 9th Annual SLAS International Conference and Exhibition in San Diego, CA, USA.

Just when it seemed like robots couldn't get any cooler, Cornell University researchers have created a soft robot muscle that can regulate its temperature through sweating.

UC San Diego Health launches pilot project using drones to move medical samples, supplies and documents between Jacobs Medical Center, Moores Cancer Center and the Center for Advanced Laboratory Medicine, speeding delivery of services and patient care currently managed through ground transport.

SLAC scientist Siqi Li works on new methods to allow researchers using LCLS, our X-ray laser, to observe the motion of electrons or do high-resolution imaging. When she's not working to create more efficient and advanced X-ray lasers, Li likes to unwind with yoga.

Regular readers will know that I've been hanging out for the "market allocation" parts of the proposed Cannabis Legalisation and Control Bill, which will be the subject of a referendum this year.
While most media outlets ran inane stories last year on how many joints 14 grams added up to, it was clear to anyone who took the subject seriously that the questions of who would get to produce and sell cannabis and how licences would be awarded were vastly more important. And we've had to wait for answers to those.
Well, they're here. And it's very good news. From…

Today I said goodbye to the most amazing, resilient, loving cat in the world. After fighting a myriad of diseases like a champ, her body finally tired

EPISODE SUMMARY Today's show is brought to you by Wacom — makers of the incredible Wacom One! This week, the ComicLab guys talk shop with Gale Galligan, creator of the bestselling Babysitter's Club graphic novels. See all of Gale's latest at Galesaur.com. EPISODE NOTES Today's show is brought to you by Wacom — makers of the incredible Wacom One! This week, the ComicLab guys talk shop with Gale Galligan, creator of the bestselling Babysitter's Club graphic novels.

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Been thinking about this blog and how a lot of the work I’ve been doing lately doesn’t always lend itself...

I. Why do some people sign up to have their brains frozen for possible future resurrection, while others don’t? You might think it’s because the first group has more faith in future technology, but Scott Alexander has survey data to suggest otherwise. Active members of the forum lesswrong.com, many of whom had pre-paid for brain […]

Группа Gorillaz представила песню How Far?, которая была написана вместе с барабанщиком Тони Алленом и посвящена ему.

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Back when T-Mobile and Sprint were trying to gain regulatory approval for their $26 billion merger, executives repeatedly promised the deal would create jobs. Not just a few jobs, but oodles of jobs. Despite the fact that US telecom history indicates such deals almost always trigger mass layoffs, the media dutifully repeated T-Mobile and Sprint executive claims that the deal would create "more than 3,500 additional full-time U.S. employees in the first year and 11,000 more people by 2024."

About that.

Before the ink on the deal was even dry, T-Mobile began shutting down its Metro prepaid business and laying off impacted employees. When asked about the conflicting promises, T-Mobile refused to respond to press inquiries. Now that shutdown has accelerated, with estimates that roughly 6,000 employees at the T-Mobile subsidiary have been laid off as the freshly-merged company closes unwanted prepaid retailers. T-Mobile says the move, which has nothing to do with COVID-19, is just them "optimizing their retail footprint." Industry insiders aren't amused:

"Peter Adderton, the founder of Boost Mobile in Australia and in the U.S. who has been a vocal advocate for the Boost brand and for dealers since the merger was first proposed, figures the latest closures affect about 6,000 people. He cited one dealer who said he has to close 95 stores, some as early as May 1.

In their arguments leading up to the merger finally getting approved, executives at both T-Mobile and Sprint argued that it would not lead to the kind of job losses that many opponents were predicting. They pledged to create jobs, not cut them.

“The whole thing is exactly how we called it, and no one is calling them out. It’s so disingenuous,” Adderton told Fierce, adding that it’s not because of COVID-19. Many retailers in other industries are closing stores during the crisis but plan to reopen once it’s safe to do so."

None of this should be a surprise to anybody. Everybody from unions to Wall Street stock jocks had predicted the deal would trigger anywhere between 15,000 and 30,000 layoffs over time as redundant support, retail, and middle management positions were eliminated. It's what always happens in major US telecom mergers. There is 40 years of very clear, hard data speaking to this point. Yet in a blog post last year (likely to be deleted by this time next year), T-Mobile CEO John Legere not only insisted layoffs would never happen, he effectively accused unions, experts, consumer groups, and a long line of economists of lying:

"This merger is all about creating new, high-quality, high-paying jobs, and the New T-Mobile will be jobs-positive from Day One and every day thereafter. That’s not just a promise. That’s not just a commitment. It’s a fact....These combined efforts will create nearly 5,600 new American customer care jobs by 2021. And New T-Mobile will employ 7,500+ more care professionals by 2024 than the standalone companies would have."

That was never going to happen. Less competition and revolving door, captured regulators and a broken court system means there's less than zero incentive for T-Mobile to do much of anything the company promised while it was wooing regulators. And of course such employment growth is even less likely to happen under a pandemic, which will provide "wonderful" cover for cuts that were going to happen anyway.

Having watched more telecom megadeals like this than I can count, what usually happens is the companies leave things generally alone for about a year to keep employees calm and make it seem like deal critics were being hyperbolic. Then, once the press and public is no longer paying attention (which never takes long), the hatchets come out and the downsizing begins. When the layoffs and reduced competition inevitably arrives, they're either ignored or blamed on something else. In this case, inevitably, COVID-19.

In a few years, the regulators who approved the deal will have moved on to think tank, legal or lobbying positions at the same companies they "regulated." The same press that over-hyped pre-merger promises won't follow back up, because there's no money in that kind of hindsight policy reporting or consumer advocacy. And executives like John Legere (who just quit T-Mobile after selling his $17.5 million NYC penthouse to Giorgio Armani) are dutifully rewarded, with the real world market and human cost of mindless merger mania quickly and intentionally forgotten.

Given all we know about facial recognition tech, it is literally jaw-dropping that anyone could make this claim… especially without being vetted independently.

A group of Harrisburg University professors and a PhD student have developed an automated computer facial recognition software capable of predicting whether someone is likely to be a criminal.

The software is able to predict if someone is a criminal with 80% accuracy and with no racial bias. The prediction is calculated solely based on a picture of their face.

There's a whole lot of "what even the fuck" in CBS 21's reprint of a press release, but let's start with the claim about "no racial bias." That's a lot to swallow when the underlying research hasn't been released yet. Let's see what the National Institute of Standards and Technology has to say on the subject. This is the result of the NIST's examination of 189 facial recognition AI programs -- all far more established than whatever it is Harrisburg researchers have cooked up.

Asian and African American people were up to 100 times more likely to be misidentified than white men, depending on the particular algorithm and type of search. Native Americans had the highest false-positive rate of all ethnicities, according to the study, which found that systems varied widely in their accuracy.

The faces of African American women were falsely identified more often in the kinds of searches used by police investigators where an image is compared to thousands or millions of others in hopes of identifying a suspect.

Why is this acceptable? The report inadvertently supplies the answer:

Middle-aged white men generally benefited from the highest accuracy rates.

Yep. And guess who's making laws or running police departments or marketing AI to cops or telling people on Twitter not to break the law or etc. etc. etc.

To craft a terrible pun, the researchers' claim of "no racial bias" is absurd on its face. Per se stupid af to use legal terminology.

Moving on from that, there's the 80% accuracy, which is apparently good enough since it will only threaten the life and liberty of 20% of the people it's inflicted on. I guess if it's the FBI's gold standard, it's good enough for everyone.

Maybe this is just bad reporting. Maybe something got copy-pasted wrong from the spammed press release. Let's go to the source… one that somehow still doesn't include a link to any underlying research documents.

What does any of this mean? Are we ready to embrace a bit of pre-crime eugenics? Or is this just the most hamfisted phrasing Harrisburg researchers could come up with?

A group of Harrisburg University professors and a Ph.D. student have developed automated computer facial recognition software capable of predicting whether someone is likely going to be a criminal.

The most charitable interpretation of this statement is that the wrong-20%-of-the-time AI is going to be applied to the super-sketchy "predictive policing" field. Predictive policing -- a theory that says it's ok to treat people like criminals if they live and work in an area where criminals live -- is its own biased mess, relying on garbage data generated by biased policing to turn racist policing into an AI-blessed "work smarter not harder" LEO equivalent.

The question about "likely" is answered in the next paragraph, somewhat assuring readers the AI won't be applied to ultrasound images.

With 80 percent accuracy and with no racial bias, the software can predict if someone is a criminal based solely on a picture of their face. The software is intended to help law enforcement prevent crime.

There's a big difference between "going to be" and "is," and researchers using actual science should know better than to use both phrases to describe their AI efforts. One means scanning someone's face to determine whether they might eventually engage in criminal acts. The other means matching faces to images of known criminals. They are far from interchangeable terms.

If you think the above quotes are, at best, disjointed, brace yourself for this jargon-fest which clarifies nothing and suggests the AI itself wrote the pullquote:

“We already know machine learning techniques can outperform humans on a variety of tasks related to facial recognition and emotion detection,” Sadeghian said. “This research indicates just how powerful these tools are by showing they can extract minute features in an image that are highly predictive of criminality.”

"Minute features in an image that are highly predictive of criminality." And what, pray tell, are those "minute features?" Skin tone? "I AM A CRIMINAL IN THE MAKING" forehead tattoos? Bullshit on top of bullshit? Come on. This is word salad, but a salad pretending to be a law enforcement tool with actual utility. Nothing about this suggests Harrisburg has come up with anything better than the shitty "tools" already being inflicted on us by law enforcement's early adopters.

I wish we could dig deeper into this but we'll all have to wait until this excitable group of clueless researchers decide to publish their findings. According to this site, the research is being sealed inside a "research book," which means it will take a lot of money to actually prove this isn't any better than anything that's been offered before. This could be the next Clearview, but we won't know if it is until the research is published. If we're lucky, it will be before Harrisburg patents this awful product and starts selling it to all and sundry. Don't hold your breath.

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A couple of months ago, a records request revealed a private surveillance contractor had access to nearly every piece of surveillance equipment owned and operated by the state of Utah. Banjo was the company with its pens in all of the state's ink. Banjo's algorithm ran on top of Utah's surveillance gear: CCTV systems, 911 services, location data for government vehicles, and thousands of traffic cameras.

All of this was run through Banjo's servers, which are conveniently located in Utah government buildings. Banjo's offering is of the predictive policing variety. The CEO claims its software can "find crime" without any collateral damage to privacy. This claim is based on the "anonymization" of harvested data -- a term that is essentially meaningless once enough data is collected.

This partnership is now on the rocks, thanks to an investigation by Matt Stroud and OneZero. Banjo's CEO, Damien Patton, apparently spent a lot of his formative years hanging around with white supremacists while committing crimes.

In grand jury testimony that ultimately led to the conviction of two of his associates, Patton revealed that, as a 17-year-old, he was involved with the Dixie Knights of the Ku Klux Klan. On the evening of June 9, 1990 — a month before Patton turned 18 — Patton and a Klan leader took a semi-automatic TEC-9 pistol and drove to a synagogue in a Nashville suburb. With Patton at the wheel, the Ku Klux Klan member fired onto the synagogue, destroying a street-facing window and spraying bullets and shattered glass near the building’s administrative offices, which were next to that of the congregation’s rabbi. No one was struck or killed in the shooting. Afterward, Patton hid on the grounds of a white supremacist paramilitary training camp under construction before fleeing the state with the help of a second Klan member.

If you're wondering where the state of Utah's due diligence is in all of this, there's a partial explanation for this lapse: the feds, who brought Patton in, screwed up on their paperwork.

Because Patton’s name was misspelled in the initial affidavit of probable cause filed in Brown’s case — an FBI agent apparently spelled Damien with an “o” rather than an “e” — any search of a federal criminal court database for “Damien Patton” would not have surfaced the affidavit.

Now that his past has been exposed, the state of Utah has announced it won't be working with Banjo.

The Utah attorney general’s office will suspend use of a massive surveillance system after a news report showed that the founder of the company behind the effort was once an active participant in a white supremacist group and was involved in the shooting of a synagogue.

The AG's office can only shut down so much of Banjo's surveillance software. Other government agencies not directly controlled by the state AG are making their own judgment calls. The University of Utah is suspending its contract with Banjo, but the state's Department of Public Safety has only gone so far as to "launch a review" of its partnership with the company. City agencies and a number of police departments who have contracts with Banjo have yet to state whether they will be terminating theirs.

And the AG's reaction isn't a ban. The office appears to believe it might be able to work through this.

“While we believe Mr. Patton’s remorse is sincere and believe people can change, we feel it’s best to suspend use of Banjo technology by the Utah attorney general’s office while we implement a third-party audit and advisory committee to address issues like data privacy and possible bias,” Piatt said. “We recommend other state agencies do the same.”

It's refreshing to hear a prosecutor state that it's possible for former criminals to turn their lives around and become positive additions to their communities, but one gets the feeling this sort of forgiveness is only extended to ex-cons who have something to offer law enforcement agencies. Everyone else is just their rap sheet for forever, no matter how many years it's been since their last arrest.

The other problem here is the DA's office's tacit admission it did not take data privacy or possible bias into account before granting Banjo access to the state's surveillance equipment, allowing it to set up servers in government buildings, and giving it free rein to dust everything with its unaudited AI pixie dust.

These are all steps that should have taken place before any of this was implemented, even if the state had chosen to do business with a company with a less controversial CEO. This immediate reaction is the right step to take, but a little proactivity now and then would be a welcome change.

The coronavirus pandemic and its associated lockdown in most countries has forced major changes in the way people live, work and study. Online learning is now routine for many, and is largely unproblematic, not least because it has been used for many years. However, online testing is more tricky, since there is a concern by many teachers that students might use their isolated situation to cheat during exams. One person's problem is another person's opportunity, and there are a number of proctoring services that claim to stop or at least minimize cheating during online tests. One thing they have in common is that they tend to be intrusive, and show little respect for the privacy of the people they monitor.

As an article in The Verge explains, some employ humans to watch over students using Zoom video calls. That's reasonably close to a traditional setup, where a teacher or proctor watches students in an exam hall. But there are also webcam-based automated approaches, as explored by Vox:

For instance, Examity also uses AI to verify students' identities, analyze their keystrokes, and, of course, ensure they're not cheating. Proctorio uses artificial intelligence to conduct gaze detection, which tracks whether a student is looking away from their screens.

It's not just in the US that these extreme surveillance methods are being adopted. In France, the University of Rennes 1 is using a system called Managexam, which adds a few extra features: the ability to detect "inappropriate" Internet searches by the student, the use of a second screen, or the presence of another person in the room (original in French). The Vox articles notes that even when these systems are deployed, students still try to cheat using new tricks, and the anti-cheating services try to stop them doing so:

it's easy to find online tips and tricks for duping remote proctoring services. Some suggest hiding notes underneath the view of the camera or setting up a secret laptop. It's also easy for these remote proctoring services to find out about these cheating methods, so they're constantly coming up with countermeasures. On its website, Proctorio even has a job listing for a "professional cheater" to test its system. The contract position pays between $10,000 and $20,000 a year.

As the arms race between students and proctoring services escalates, it's surely time to ask whether the problem isn't people cheating, but the use of old-style, analog testing formats in a world that has been forced by the coronavirus pandemic to move to a completely digital approach. Rather than spending so much time, effort and money on trying to stop students from cheating, maybe we need to come up with new ways of measuring what they have learnt and understood -- ones that are not immune to cheating, but where cheating has no meaning. Obvious options include "open book" exams, where students can use whatever resources they like, or even abolishing formal exams completely, and opting for continuous assessment. Since the lockdown has forced educational establishments to re-invent teaching, isn't it time they re-invented exams too?

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This seems to be something of a thing. Our last "Tales From the Quarantine" post focused on how television celebrities had taken to offering people help on Twitter with their virtual home decor in the latest Animal Crossing game. This post also involves Animal Crossing, but in a much more direct way. Due to the COVID-19 pandemic, there are enormous numbers of people who have suddenly found themselves without jobs or regular income. And, so, they've turned to irregular sources of income instead.

Ars Technica has an interesting interview with one of many people who have taken to the internet to indirectly sell Animal Crossing's "bells", the currency of the game.

In the midst of COVID-19, some New Horizons players are turning to World of Warcraft-style gold farming methods to make ends meet. In early April, Lexy, a 23-year-old recent college grad, created a Twitter account offering up bells (Animal Crossing’s in-game currency) for real-world cash (she requested we refer to her by a nickname to avoid potential reprisal from Nintendo). “I got laid off due to COVID so I'm farming bells in ACNH,” she wrote. “I really need to make rent this month so I'm selling 2 mil bells per $5, please message me if interested, I'll give you a discount the more you buy.”

Before setting up this unorthodox income stream, Lexy had been working at a supermarket while developing her animation portfolio. She began exploring the idea of turning bells into cash after showing friends just how much in-game income she’d been making. “One of them asked to legitimately buy some for me,” she recalled in a Twitter interview. “I did some research and found some people selling bells on sites such as eBay, but for pretty ridiculous prices.” (Current prices on eBay seem more competitive, with some sellers offering rare gold tools and gold nuggets to sweeten the deal).

The threat from Nintendo is probably real. After all, unlike some other games where people do this sort of thing, Nintendo's game doesn't include any method for selling in-game resources for real currency. Nintendo is also notoriously prudish about things like this. And, finally, to make an effective go at this sort of thing, it takes some manipulation of the console in a way that is somewhat controversial with gamers generally.

Understandably, Lexy adjusts the clock on her Nintendo Switch to speed up the game’s slow, “natural” money-making cycle of harvesting daily fruit, digging up bells from the ground, and planting a daily “money tree” that can yield big profits. This kind of in-game “time traveling” is controversial practice among casual Animal Crossing players, but it's a practical necessity to maximize real-world bell-farming profits.

As for how much money people like Lexy are bringing in, it's in the four figures, but she wasn't any more specific than that. Payments are made through digital apps like PayPal, after which she visits the game islands of others and deposits the bells.

That all of this is going on during a global pandemic that has some folks farming bells to make ends meet and others with apparently enough disposable income to be buyers is all, of course, deeply strange. But it's also just yet another way technology is having an impact on our lives during the COVID-19 pandemic.

Senator Richard Burr's potential insider trading issues, for which he's being investigated, may have gotten quite a bit worse this week. A new report notes that on the same day Burr sold off a "significant percentage" of his stock holdings (while also telling the public not to worry about COVID-19), it turns out his brother-in-law just coincidentally decided to dump a bunch of stock too. Amazing!

Sen. Richard Burr was not the only member of his family to sell off a significant portion of his stock holdings in February, ahead of the market crash spurred by coronavirus fears. On the same day Burr sold, his brother-in-law also dumped tens of thousands of dollars worth of shares. The market fell by more than 30% in the subsequent month.

Burr’s brother-in-law, Gerald Fauth, who has a post on the National Mediation Board, sold between $97,000 and $280,000 worth of shares in six companies — including several that have been hit particularly hard in the market swoon and economic downturn.

Could this actually be a coincidence? Sure. Maybe. But the timing (the very same day...) does seem notable. As the ProPublica report notes, Fauth "is not a frequent stock trader." Burr insists that his sales were based on public information, though it's difficult to see how he could simply ignore the classified briefings he got concerning the rising pandemic issues, and base decisions entirely on public information. Indeed, this is why government officials should be required to hand off any equities like this to a blind trust where they have no visibility into how it's traded.

Even if this is all legal (which is not certain either way yet...), it again reinforces the belief that the powerful live by different rules and are able to game the system for personal advantage, even as they're supposed to be serving the public interest.

Six months ago, which feels like roughly an eternity at this point, we discussed how Jerry Seinfeld and others won an absolutely ludicrous copyright suit filed against them by Christian Charles, a writer and director Seinfeld hired to help him create the pilot episode of Comedians In Cars Getting Coffee. What was so strange about the case is that this pilot had been created in 2012, whereas the lawsuit was only filed in 2018. That coincides with Seinfeld inking a lucrative deal with Netflix to stream his show.

It's not the most well known aspect of copyright law, but there is, in fact, a statute of limitations for copyright claims and it's 3 years. The requirement in the statute is that the clock essentially starts running once someone who would bring a copyright claim has had their ownership of a work disputed publicly, or has been put on notice. Seinfeld argued that he told Charles he was employing him in a work-for-hire arrangement, which would satisfy that notice. His lawyers also pointed out that Charles goes completely uncredited in the pilot episode, which would further put him on notice. The court tossed the case based on the statute of limitations.

For some reason, Charles appealed the ruling. Well, now the Court of Appeals has affirmed that lower ruling, which hopefully means we can all get back to not filing insane lawsuits, please.

We conclude that the district court was correct in granting defendants’ motion to dismiss, for substantially the same reasons that it set out in its well-reasoned opinion. The dispositive issue in this case is whether Charles’s alleged “contributions . . . qualify [him] as the author and therefore owner” of the copyrights to the show. Kwan, 634 F.3d at 229. Charles disputes that his claim centers on ownership. But that argument is seriously undermined by his statements in various filings throughout this litigation which consistently assert that ownership is a central question.

Charles’s infringement claim is therefore time-barred because his ownership claim is time-barred. The district court identified two events described in the Second Amended Complaint that would have put a reasonably diligent plaintiff on notice that his ownership claims were disputed. First, in February 2012, Seinfeld rejected Charles’s request for backend compensation and made it clear that Charles’s involvement would be limited to a work-for-hire basis. See Gary Friedrich Enters., LLC v. Marvel Characters, Inc., 716 F.3d 302, 318 (2d Cir. 2013) (noting that a copyright ownership claim would accrue when the defendant first communicates to the plaintiff that the defendant considers the work to be a work-for-hire). Second, the show premiered in July 2012 without crediting Charles, at which point his ownership claim was publicly repudiated. See Kwan, 634 F.3d at 227. Either one of these developments was enough to place Charles on notice that his ownership claim was disputed and therefore this action, filed six years later, was brought too late.

And that should bring this all to a close, hopefully. This seems like a pretty clear attempt at a money grab by Charles once Seinfeld's show became a Netflix cash-cow. Unfortunately, time is a measurable thing and his lawsuit was very clearly late.

In Galatians 5:19-23, Paul writes about the flesh. What does he mean by this term? Is it just our physical body? Is it the sin nature? Is it the human tendency to engage in sensual pleasures? The answer is NO to all these questions. Listen to this study to find out what Paul means by the term FLESH.

Pretty sure we’ve all heard Tom Lehrer’s “Lobachevsky,” right? A song about plagiarism where all the bits of melody are...

I recently travelled to Pittsburgh, USA, to present the paper “From Playing Games to Committing Crimes: A Multi-Technique Approach to Predicting Key Actors on an Online Gaming Forum” at eCrime 2019, co-authored with Ben Collier and Alice Hutchings. The accepted version of the paper can be accessed here. The structure and content of various underground … Continue reading From Playing Games to Committing Crimes: A Multi-Technique Approach to Predicting Key Actors on an Online Gaming Forum →

The platforms, providers, and infrastructures which together make up the contemporary Internet play an increasingly central role in the business of governing human societies. Although the software engineers, administrators, business professionals, and other staff working at these organisations may not have the institutional powers of state organisations such as law enforcement or the civil service, … Continue reading Three Paper Thursday: The role of intermediaries, platforms, and infrastructures in governing crime and abuse →

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A flourless chocolate cake to help ease your lockdown woes.

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