Author name: Kris Guyer

proteins-let-cells-remember-how-well-their-last-division-went

Proteins let cells remember how well their last division went

Well, that went badly —

Scientists find a “mitotic stopwatch” that lets individual cells remember something.

Image of a stopwatch against a blue-grey background.

When we talk about memories in biology, we tend to focus on the brain and the storage of information in neurons. But there are lots of other memories that persist within our cells. Cells remember their developmental history, whether they’ve been exposed to pathogens, and so on. And that raises a question that has been challenging to answer: How does something as fundamental as a cell hold on to information across multiple divisions?

There’s no one answer, and the details are really difficult to work out in many cases. But scientists have now worked out one memory system in detail. Cells are able to remember when their parent had a difficult time dividing—a problem that’s often associated with DNA damage and cancer. And, if the problems are substantial enough, the two cells that result from a division will stop dividing themselves.

Setting a timer

In multicellular organisms, cell division is very carefully regulated. Uncontrolled division is the hallmark of cancers. But problems with the individual segments of division—things like copying DNA, repairing any damage, making sure each daughter cell gets the right number of chromosomes—can lead to mutations. So, the cell division process includes lots of checkpoints where the cell makes sure everything has worked properly.

But if a cell makes it through all the checkpoints, it’s presumably all good, right? Not entirely, as it turns out.

Mitosis is the portion of cell division where the duplicated chromosomes get separated out to each of the daughter cells. Spending a lot of time in mitosis can mean that the chromosomes have picked up damage, which may cause problems in the future. And prior research found that some cells derived from the retina will register when mitosis takes too long, and the daughter cells will stop dividing.

The new work, done by a team of researchers in Okinawa, Japan, and San Diego, started by showing that this behavior wasn’t limited to retinal cells—it seems to be a general response to a slow mitosis. Careful timing experiments showed that the longer cells spent trying to undergo mitosis, the more likely the daughter cells would be to stop dividing. The researchers term this system a “mitotic stopwatch.”

So, how does a cell operate a stopwatch? It’s not like it can ask Siri to set a timer—it’s largely stuck working with nucleic acids and proteins.

It turns out that, like many things relayed to cell division, the answer comes down to a protein named p53. It’s a protein that’s key to many pathways that detect damage to cells and stop them from dividing if there are problems. (You may recall it from our recent coverage of the development of elephant stem cells.)

A stopwatch made of proteins

The researchers found that, while mitosis was going on, p53 started showing up in a complex with two other proteins (ubiquitin-specific protease 28 and the creatively named p53-binding protein 1). If you made mutations in one of the proteins that blocked this complex from forming, the mitotic stopwatch stopped ticking. This three-protein complex only started building up to significant levels if mitosis took longer than usual, and it remained stable once it formed so that it would get passed on to the daughter cells once cell division was completed.

So, why does this complex form only when mitosis takes longer than usual? The key turned out to be a protein called a kinase, which attaches a phosphate to other proteins. The researchers screened chemicals that inhibit specific kinases that are active during mitosis and DNA repair, and found a specific one that was needed for the mitotic stopwatch. In the absence of this kinase (PLK1, for the curious), the three-protein complex doesn’t form.

So, the researchers think that the stopwatch looks like this: during mitosis, the kinase slowly attaches a phosphate to one of the proteins, allowing it to form the three-protein complex. If mitosis gets done quickly enough, the levels of this complex don’t get very high, and it has no effect on the cell. But if mitosis goes more quickly, then the complex starts building up, and it’s stable enough that it’s still around in both daughter cells. The existence of the complex helps stabilize the p53 protein, allowing it to stop future cell divisions once it’s present at high enough levels.

Consistent with this idea, all three of the proteins in the complex are tumor suppressors, meaning that mutations in them make tumor formation more likely. The researchers confirmed that the mitotic stopwatch was frequently defective in tumor samples.

So, that’s how individual cells manage to store one of their memories—the memory of problems with cell division. The mitotic stopwatch, however, is just one of the memory storage systems, with completely separate systems handling different memories. And, at the same time this is happening, a large number of other pathways also feed into the activity of p53. So, while the mitotic stopwatch may efficiently handle one specific type of problem, it’s integrated into a lot of additional, complex systems operating in the cell.

Science, 2024. DOI: 10.1126/science.add9528  (About DOIs).

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playboy-image-from-1972-gets-ban-from-ieee-computer-journals

Playboy image from 1972 gets ban from IEEE computer journals

image processing —

Use of “Lenna” image in computer image processing research stretches back to the 1970s.

Playboy image from 1972 gets ban from IEEE computer journals

Aurich Lawson | Getty Image

On Wednesday, the IEEE Computer Society announced to members that, after April 1, it would no longer accept papers that include a frequently used image of a 1972 Playboy model named Lena Forsén. The so-called “Lenna image,” (Forsén added an extra “n” to her name in her Playboy appearance to aid pronunciation) has been used in image processing research since 1973 and has attracted criticism for making some women feel unwelcome in the field.

In an email from the IEEE Computer Society sent to members on Wednesday, Technical & Conference Activities Vice President Terry Benzel wrote, “IEEE’s diversity statement and supporting policies such as the IEEE Code of Ethics speak to IEEE’s commitment to promoting an including and equitable culture that welcomes all. In alignment with this culture and with respect to the wishes of the subject of the image, Lena Forsén, IEEE will no longer accept submitted papers which include the ‘Lena image.'”

An uncropped version of the 512×512-pixel test image originally appeared as the centerfold picture for the December 1972 issue of Playboy Magazine. Usage of the Lenna image in image processing began in June or July 1973 when an assistant professor named Alexander Sawchuck and a graduate student at the University of Southern California Signal and Image Processing Institute scanned a square portion of the centerfold image with a primitive drum scanner, omitting nudity present in the original image. They scanned it for a colleague’s conference paper, and after that, others began to use the image as well.

The original 512×512

The original 512×512 “Lenna” test image, which is a cropped portion of a 1972 Playboy centerfold.

The image’s use spread in other papers throughout the 1970s, 80s, and 90s, and it caught Playboy’s attention, but the company decided to overlook the copyright violations. In 1997, Playboy helped track down Forsén, who appeared at the 50th Annual Conference of the Society for Imaging Science in Technology, signing autographs for fans. “They must be so tired of me … looking at the same picture for all these years!” she said at the time. VP of new media at Playboy Eileen Kent told Wired, “We decided we should exploit this, because it is a phenomenon.”

The image, which features Forsén’s face and bare shoulder as she wears a hat with a purple feather, was reportedly ideal for testing image processing systems in the early years of digital image technology due to its high contrast and varied detail. It is also a sexually suggestive photo of an attractive woman, and its use by men in the computer field has garnered criticism over the decades, especially from female scientists and engineers who felt that the image (especially related to its association with the Playboy brand) objectified women and created an academic climate where they did not feel entirely welcome.

Due to some of this criticism, which dates back to at least 1996, the journal Nature banned the use of the Lena image in paper submissions in 2018.

The comp.compression Usenet newsgroup FAQ document claims that in 1988, a Swedish publication asked Forsén if she minded her image being used in computer science, and she was reportedly pleasantly amused. In a 2019 Wired article, Linda Kinstler wrote that Forsén did not harbor resentment about the image, but she regretted that she wasn’t paid better for it originally. “I’m really proud of that picture,” she told Kinstler at the time.

Since then, Forsén has apparently changed her mind. In 2019, Creatable and Code Like a Girl created an advertising documentary titled Losing Lena, which was part of a promotional campaign aimed at removing the Lena image from use in tech and the image processing field. In a press release for the campaign and film, Forsén is quoted as saying, “I retired from modelling a long time ago. It’s time I retired from tech, too. We can make a simple change today that creates a lasting change for tomorrow. Let’s commit to losing me.”

It seems like that commitment is now being granted. The ban in IEEE publications, which have been historically important journals for computer imaging development, will likely further set a precedent toward removing the Lenna image from common use. In his email, the IEEE’s Benzel recommended wider sensitivity about the issue, writing, “In order to raise awareness of and increase author compliance with this new policy, program committee members and reviewers should look for inclusion of this image, and if present, should ask authors to replace the Lena image with an alternative.”

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nyc’s-government-chatbot-is-lying-about-city-laws-and-regulations

NYC’s government chatbot is lying about city laws and regulations

Close enough for government work? —

You can be evicted for not paying rent, despite what the “MyCity” chatbot says.

Has a government employee checked all those zeroes and ones floating above the skyline?

Enlarge / Has a government employee checked all those zeroes and ones floating above the skyline?

If you follow generative AI news at all, you’re probably familiar with LLM chatbots’ tendency to “confabulate” incorrect information while presenting that information as authoritatively true. That tendency seems poised to cause some serious problems now that a chatbot run by the New York City government is making up incorrect answers to some important questions of local law and municipal policy.

NYC’s “MyCity” ChatBot launched as a “pilot” program last October. The announcement touted the ChatBot as a way for business owners to “save … time and money by instantly providing them with actionable and trusted information from more than 2,000 NYC Business webpages and articles on topics such as compliance with codes and regulations, available business incentives, and best practices to avoid violations and fines.”

But a new report from The Markup and local nonprofit news site The City found the MyCity chatbot giving dangerously wrong information about some pretty basic city policies. To cite just one example, the bot said that NYC buildings “are not required to accept Section 8 vouchers,” when an NYC government info page says clearly that Section 8 housing subsidies are one of many lawful sources of income that landlords are required to accept without discrimination. The Markup also received incorrect information in response to chatbot queries regarding worker pay and work hour regulations, as well as industry-specific information like funeral home pricing.

Welcome news for people who think the rent is too damn high, courtesy of the MyCity chatbot.

Enlarge / Welcome news for people who think the rent is too damn high, courtesy of the MyCity chatbot.

Further testing from BlueSky user Kathryn Tewson shows the MyCity chatbot giving some dangerously wrong answers regarding the treatment of workplace whistleblowers, as well as some hilariously bad answers regarding the need to pay rent.

This is going to keep happening

The result isn’t too surprising if you dig into the token-based predictive models that power these kinds of chatbots. MyCity’s Microsoft Azure-powered chatbot uses a complex process of statistical associations across millions of tokens to essentially guess at the most likely next word in any given sequence, without any real understanding of the underlying information being conveyed.

That can cause problems when a single factual answer to a question might not be reflected precisely in the training data. In fact, The Markup said that at least one of its tests resulted in the correct answer on the same query about accepting Section 8 housing vouchers (even as “ten separate Markup staffers” got the incorrect answer when repeating the same question).

The MyCity Chatbot—which is prominently labeled as a “Beta” product—tells users who bother to read the warnings that it “may occasionally produce incorrect, harmful or biased content” and that users should “not rely on its responses as a substitute for professional advice.” But the page also states front and center that it is “trained to provide you official NYC Business information” and is being sold as a way “to help business owners navigate government.”

Andrew Rigie, executive director of the NYC Hospitality Alliance, told The Markup that he had encountered inaccuracies from the bot himself and had received reports of the same from at least one local business owner. But NYC Office of Technology and Innovation Spokesperson Leslie Brown told The Markup that the bot “has already provided thousands of people with timely, accurate answers” and that “we will continue to focus on upgrading this tool so that we can better support small businesses across the city.”

NYC Mayor Eric Adams touts the MyCity chatbot in an October announcement event.

The Markup’s report highlights the danger of governments and corporations rolling out chatbots to the public before their accuracy and reliability have been fully vetted. Last month, a court forced Air Canada to honor a fraudulent refund policy invented by a chatbot available on its website. A recent Washington Post report found that chatbots integrated into major tax preparation software provides “random, misleading, or inaccurate … answers” to many tax queries. And some crafty prompt engineers have reportedly been able to trick car dealership chatbots into accepting a “legally binding offer – no take backsies” for a $1 car.

These kinds of issues are already leading some companies away from more generalized LLM-powered chatbots and toward more specifically trained Retrieval-Augmented Generation models, which have been tuned only on a small set of relevant information. That kind of focus could become that much more important if the FTC is successful in its efforts to make chatbots liable for “false, misleading, or disparaging” information.

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backdoor-found-in-widely-used-linux-utility-breaks-encrypted-ssh-connections

Backdoor found in widely used Linux utility breaks encrypted SSH connections

SUPPLY CHAIN ATTACK —

Malicious code planted in xz Utils has been circulating for more than a month.

Internet Backdoor in a string of binary code in a shape of an eye.

Enlarge / Internet Backdoor in a string of binary code in a shape of an eye.

Getty Images

Researchers have found a malicious backdoor in a compression tool that made its way into widely used Linux distributions, including those from Red Hat and Debian.

The compression utility, known as xz Utils, introduced the malicious code in versions ​​5.6.0 and 5.6.1, according to Andres Freund, the developer who discovered it. There are no known reports of those versions being incorporated into any production releases for major Linux distributions, but both Red Hat and Debian reported that recently published beta releases used at least one of the backdoored versions—specifically, in Fedora 40 and Fedora Rawhide and Debian testing, unstable and experimental distributions. A stable release of Arch Linux is also affected. That distribution, however, isn’t used in production systems.

Because the backdoor was discovered before the malicious versions of xz Utils were added to production versions of Linux, “it’s not really affecting anyone in the real world,” Will Dormann, a senior vulnerability analyst at security firm Analygence, said in an online interview. “BUT that’s only because it was discovered early due to bad actor sloppiness. Had it not been discovered, it would have been catastrophic to the world.”

Several people, including two Ars readers, reported that the multiple apps included in the HomeBrew package manager for macOS rely on the backdoored 5.6.1 version of xz Utils. HomeBrew has now rolled back the utility to version 5.4.6. Maintainers have more details available here.

Breaking SSH authentication

The first signs of the backdoor were introduced in a February 23 update that added obfuscated code, officials from Red Hat said in an email. An update the following day included a malicious install script that injected itself into functions used by sshd, the binary file that makes SSH work. The malicious code has resided only in the archived releases—known as tarballs—which are released upstream. So-called GIT code available in repositories aren’t affected, although they do contain second-stage artifacts allowing the injection during the build time. In the event the obfuscated code introduced on February 23 is present, the artifacts in the GIT version allow the backdoor to operate.

The malicious changes were submitted by JiaT75, one of the two main xz Utils developers with years of contributions to the project.

“Given the activity over several weeks, the committer is either directly involved or there was some quite severe compromise of their system,” an official with distributor OpenWall wrote in an advisory. “Unfortunately the latter looks like the less likely explanation, given they communicated on various lists about the ‘fixes’” provided in recent updates. Those updates and fixes can be found here, here, here, and here.

On Thursday, someone using the developer’s name took to a developer site for Ubuntu to ask that the backdoored version 5.6.1 be incorporated into production versions because it fixed bugs that caused a tool known as Valgrind to malfunction.

“This could break build scripts and test pipelines that expect specific output from Valgrind in order to pass,” the person warned, from an account that was created the same day.

One of maintainers for Fedora said Friday that the same developer approached them in recent weeks to ask that Fedora 40, a beta release, incorporate one of the backdoored utility versions.

“We even worked with him to fix the valgrind issue (which it turns out now was caused by the backdoor he had added),” the Ubuntu maintainer said.

He has been part of the xz project for two years, adding all sorts of binary test files, and with this level of sophistication, we would be suspicious of even older versions of xz until proven otherwise.

Maintainers for xz Utils didn’t immediately respond to emails asking questions.

The malicious versions, researchers said, intentionally interfere with authentication performed by SSH, a commonly used protocol for connecting remotely to systems. SSH provides robust encryption to ensure that only authorized parties connect to a remote system. The backdoor is designed to allow a malicious actor to break the authentication and, from there, gain unauthorized access to the entire system. The backdoor works by injecting code during a key phase of the login process.

“I have not yet analyzed precisely what is being checked for in the injected code, to allow unauthorized access,” Freund wrote. “Since this is running in a pre-authentication context, it seems likely to allow some form of access or other form of remote code execution.”

In some cases, the backdoor has been unable to work as intended. The build environment on Fedora 40, for example, contains incompatibilities that prevent the injection from correctly occurring. Fedora 40 has now reverted to the 5.4.x versions of xz Utils.

Xz Utils is available for most if not all Linux distributions, but not all of them include it by default. Anyone using Linux should check with their distributor immediately to determine if their system is affected. Freund provided a script for detecting if an SSH system is vulnerable.

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jails-banned-visits-in-“quid-pro-quo”-with-prison-phone-companies,-lawsuits-say

Jails banned visits in “quid pro quo” with prison phone companies, lawsuits say

The bars of a jail cell are pictured along with a man's hand turning a key in the lock of the cell door.

Getty Images | Charles O’Rear

Two lawsuits filed by a civil rights group allege that county jails in Michigan banned in-person visits in order to maximize revenue from voice and video calls as part of a “quid pro quo kickback scheme” with prison phone companies.

Civil Rights Corps filed the lawsuits on March 15 against the county governments, two county sheriffs, and two prison phone companies. The suits filed in county courts seek class-action status on behalf of people unable to visit family members detained in the local jails, including children who have been unable to visit their parents.

Defendants in one lawsuit include St. Clair County Sheriff Mat King, prison phone company Securus Technologies, and Securus owner Platinum Equity. In the other lawsuit, defendants include Genesee County Sheriff Christopher Swanson and prison phone company ViaPath Technologies. ViaPath was formerly called Global Tel*Link Corporation (GTL), and the lawsuit primarily refers to the company as GTL.

Each year, thousands of people spend months in the county jails, the lawsuit said. Many of the detainees have not been convicted of any crime and are awaiting trial; if they are convicted and receive long sentences, they are transferred to the Michigan Department of Corrections.

The named plaintiffs in both cases include family members, including children identified by their initials.

“Hundreds of jails” eliminated visits

The Michigan counties are far from alone in implementing visitation bans, Civil Rights Corps said in a lawsuit announcement. “Across the United States, hundreds of jails have eliminated in-person family visits over the last decade,” the group said, adding:

Why has this happened? The answer highlights a profound flaw in how decisions too often get made in our legal system: for-profit jail telecom companies realized that they could earn more profit from phone and video calls if jails eliminated free in-person visits for families. So the companies offered sheriffs and county jails across the country a deal: if you eliminate family visits, we’ll give you a cut of the increased profits from the larger number of calls. This led to a wave across the country, as local jails sought to supplement their budgets with hundreds of millions of dollars in cash from some of the poorest families in our society.

St. Clair County implemented its family visitation ban in September 2017, “prohibiting people from visiting their family members detained inside the county jail,” Civil Rights Corps alleged. This “decision was part of a quid pro quo kickback scheme with Securus Technologies, a for-profit company that contracts with jails to charge the families of incarcerated persons exorbitant rates to communicate with one another through ‘services’ such as low-quality phone and video calls,” the lawsuit said.

Under the contract, “Securus pays the County 50 percent of the $12.99 price tag for every 20-minute video call and 78 percent of the $0.21 per minute cost of every phone call,” the lawsuit said. The contract has “a guarantee that Securus would pay the County at least $190,000 each year,” the St. Clair County lawsuit said.

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this-four-legged-robot-learned-parkour-to-better-navigate-obstacles

This four-legged robot learned parkour to better navigate obstacles

teaching an old robot new tricks —

Latest improvements to ANYmal make it better at navigating rubble and tricky terrain.

ANYmal can do parkour and walk across rubble. The quadrupedal robot went back to school and has learned a lot.

Meet ANYmal, a four-legged dog-like robot designed by researchers at ETH Zürich in Switzerland, in hopes of using such robots for search-and-rescue on building sites or disaster areas, among other applications. Now ANYmal has been upgraded to perform rudimentary parkour moves, aka “free running.” Human parkour enthusiasts are known for their remarkably agile, acrobatic feats, and while ANYmal can’t match those, the robot successfully jumped across gaps, climbed up and down large obstacles, and crouched low to maneuver under an obstacle, according to a recent paper published in the journal Science Robotics.

The ETH Zürich team introduced ANYmal’s original approach to reinforcement learning back in 2019 and enhanced its proprioception (the ability to sense movement, action, and location) three years later. Just last year, the team showcased a trio of customized ANYmal robots, tested in environments as close to the harsh lunar and Martian terrain as possible. As previously reported, robots capable of walking could assist future rovers and mitigate the risk of damage from sharp edges or loss of traction in loose regolith. Every robot had a lidar sensor. but they were each specialized for particular functions and still flexible enough to cover for each other—if one glitches, the others can take over its tasks.

For instance, the Scout model’s main objective was to survey its surroundings using RGB cameras. This robot also used another imager to map regions and objects of interest using filters that let through different areas of the light spectrum. The Scientist model had the advantage of an arm featuring a MIRA (Metrohm Instant Raman Analyzer) and a MICRO (microscopic imager). The MIRA was able to identify chemicals in materials found on the surface of the demonstration area based on how they scattered light, while the MICRO on its wrist imaged them up close. The Hybrid was more of a generalist, helping out the Scout and the Scientist with measurements of scientific targets such as boulders and craters.

As advanced as ANYmal and similar-legged robots have become in recent years, significant challenges still remain before they are as nimble and agile as humans and other animals. “Before the project started, several of my researcher colleagues thought that legged robots had already reached the limits of their development potential,” said co-author Nikita Rudin, a graduate student at ETH Zurich who also does parkour. “But I had a different opinion. In fact, I was sure that a lot more could be done with the mechanics of legged robots.”

The quadrupedal robot ANYmal practices parkour in a hall at ETH Zürich.

Enlarge / The quadrupedal robot ANYmal practices parkour in a hall at ETH Zürich.

ETH Zurich / Nikita Rudin

Parkour is quite complex from a robotics standpoint, making it an ideal aspirational task for the Swiss team’s next step in ANYmal’s capabilities. Parkour can involve large obstacles, requiring the robot “to perform dynamic maneuvers at the limits of actuation while accurately controlling the motion of the base and limbs,” the authors wrote. To succeed, ANYmal must be able to sense its environment and adapt to rapid changes, selecting a feasible path and sequence of motions from its programmed skill set. And it has to do all that in real time with limited onboard computing.

The Swiss team’s overall approach combines machine learning with model-based control. They split the task into three interconnected components: a perception module that processes the data from onboard cameras and LiDAR to estimate the terrain; a locomotion module with a programmed catalog of movements to overcome specific terrains; and a navigation module that guides the locomotion module in selecting which skills to use to navigate different obstacles and terrain using intermediate commands.

Rudin, for example, used machine learning to teach ANYmal some new skills through trial and error, namely, scaling obstacles and figuring out how to climb up and jump back down from them. The robot’s camera and artificial neural network enable it to pick the best maneuvers based on its prior training. Another graduate student, Fabian Jenelten, used model-based control to teach ANYmal how to recognize and negotiate gaps in piles of rubble, augmented with machine learning so the robot could have more flexibility in applying known movement patterns to unexpected situations.

ANYmal on a civil defense training ground.

Enlarge / ANYmal on a civil defense training ground.

ETH Zurich / Fabian Jenelten

Among the tasks ANYmal was able to perform was jumping from one box to a neighboring box up to 1 meter away. This required the robot to approach the gap sideways, place its feet as close as possible to the edge, and then use three legs to jump while extending the fourth to land on the other box. It could then transfer two diagonal legs before bringing the final leg across the gap. This meant ANYmal could recover from any missteps and slippage by transferring its weight between the non-leaping legs.

ANYmal also was able to climb down from a 1-meter-high box to reach a target on the ground, as well as climbing up the box. It can also crouch down to reach a target on the other side of a narrow passage, lowering its base and adapting its gait accordingly. The team also tested ANYmal’s walking abilities, in which the robot successfully traversed stairs, slopes, random small obstacles and so forth.

ANYmal still has its limitations when it comes to navigating real-world environments, whether it be a parkour course or the debris of a collapsed building. For instance, the authors note that they have yet to test the scalability of their approach to more diverse and unstructured scenarios that incorporate a wider variety of obstacles; the robot was only tested in a few select scenarios. “It remains to be seen how well these different modules can generalize to completely new scenarios,” they wrote. The approach is also time-consuming since it requires eight neural networks that must be tuned separately, and some of the networks are interdependent, so changing one means changing and retraining the others as well.

Still, ANYmal “can now evolve in complex scenes where it must climb and jump on large obstacles while selecting a nontrivial path toward its target location,” the authors wrote. Thus, “by aiming to match the agility of free runners, we can better understand the limitations of each component in the pipeline from perception to actuation, circumvent those limits, and generally increase the capabilities of our robots.”

Science Robotics, 2024. DOI: 10.1126/scirobotics.adi7566  (About DOIs).

Listing image by ETH Zurich / Nikita Rudin

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8bitdo’s-$100-wireless-mechanical-keyboard-is-a-tribute-to-commodore-64

8BitDo’s $100 wireless mechanical keyboard is a tribute to Commodore 64

  • Fits in nicely with old cassettes and floppy disks.

    8BitDo

  • The keyboard uses a top mount and has an aluminum top plate.

    8BitDo

  • The keyboard has knobs for toggling connectivity modes (left) and controlling the connected system’s volume (right).

    8BitDo

  • There’s a magnetic compartment for storing the optional wireless dongle.

    8BitDo

The Commodore 64 introduced a generation of future computer geeks to personal computing. The 8-bit system first launched in 1982 and was discontinued in 1994. During that time, it made its mark as one of the first and most influential personal computers, and many still remember the computer fondly.

A Commodore 64.

Enlarge / A Commodore 64.

Gaming peripherals maker 8BitDo wants to bring that nostalgia to people’s fingertips and this week announced the Retro Mechanical Keyboard – C64 Edition. 8BitDo is careful not to use the name “Commodore” outright. But with marketing images featuring retro Commodore gear in the background, press materials saying that the keyboard was “inspired by the classics,” and certain design cues, the keyboard is clearly a tribute to the ’80s keyboard-computer.

8BitDo starts with the sort of beige that you only see on new peripherals these days if the gadgets are trying to appear old. A rainbow stripe runs horizontally and north of the function row, like on Commodore’s computer. There’s a power button with a bulb popping out of the keyboard case, ready to illuminate when it receives the signal.

  • The 8BitDo keyboard’s power LED.

    8BitDo

  • Retro rainbow.

    8BitDo

Like the Commodore 64, the C64 keyboard has limited keys, foregoing a number pad. The column of F-keys on the right side of the retro computer is abandoned in favor of today’s standard navigation keys. Naturally, the ports have also been updated. 8BitDo’s wireless mechanical keyboard can connect with a detachable USB-C to USB-A power cable via a 2.4 GHz wireless USB-A dongle or Bluetooth 5.0. 8BitDo claims that the keyboard’s 2000 mAh battery can endure 200 hours of use before needing a charge.

The new keyboard also reduces the bulkiness of a true vintage keyboard. It’s 6.7 inches tall and weighs 2.31 pounds. Commodore 64s were about 8 inches tall and weighed over 4 pounds.

A trimmer keyboard should help 8BitDo better appeal to its core audience of gamers. The keyboard even comes with a separate pair of large buttons and a joystick for gaming with an arcade feel. The joystick and Super Buttons, as 8BitDo calls them, are programmable, including with macros, without downloading 8BitDo’s software.

NES-inspired keyboard.” data-height=”1708″ data-width=”2560″ href=”https://cdn.arstechnica.net/wp-content/uploads/2024/03/5-Super-Stick-and-Super-Buttons.jpg”>The keyboard comes with a joystick and mega-size buttons, just like 8BitDo's <a href=NES-inspired keyboard.” height=”427″ src=”https://cdn.arstechnica.net/wp-content/uploads/2024/03/5-Super-Stick-and-Super-Buttons-640×427.jpg” width=”640″>

Enlarge / The keyboard comes with a joystick and mega-size buttons, just like 8BitDo’s NES-inspired keyboard.

8BitDo

The C64 doesn’t support Apple devices; it only supports Windows 10 and Android 9.0 and higher. The software for reprogramming the keyboard and setting up different profiles (which you can toggle with the heart button near the keyboard’s top edge) doesn’t officially support Apple OSes.

SA keycaps

If you really want to feel like you’re typing on an ’80s system, it’s not just about muted shades of beige; it’s about what your fingers feel. While there are some design changes that might have made the keyboard feel more authentic, some thought was clearly given to making this 2024 keyboard feel like it came out more than 30 years ago.

To start, the C64’s keycaps are made of ABS plastic with doubleshot legends. Some premium mechanical keyboards these days opt for PBT, as such keycaps typically offer better grip and resist fingerprint smudges better. But if we’re trying to be as accurate to the original C64 as possible, doubleshot ABS is the way to go.

The keycaps on the Commodore 64 were also notably spherical and contoured. 8BitDo’s design uses SA-profile keycaps, which are some of the tallest keycaps that are widely available. Some hardcore enthusiasts can tell the difference between SA keycaps and the Commodore 64’s original keycaps, but this is still a strong choice from 8BitDo, (plus the original Commodore 64 keycaps wouldn’t fit on modern mechanical switches without some modding).

8BitDo’s $100 wireless mechanical keyboard is a tribute to Commodore 64 Read More »

report:-redesigned-m3-ipad-pros,-large-screened-ipad-air-now-expected-in-may

Report: Redesigned M3 iPad Pros, large-screened iPad Air now expected in May

the wait continues —

Next-gen iPads will be Apple’s first new tablets since late 2022.

The M2 iPad Pro. The updated version will come with refined designs and new accessories.

Enlarge / The M2 iPad Pro. The updated version will come with refined designs and new accessories.

Apple

If you’ve been waiting for new iPads to come out, prepare to wait just a little longer: Bloomberg’s Mark Gurman says that redesigned iPad Pros with Apple’s M3 chip, plus refreshed iPad Air models with the M2 and a larger-screened option, should now arrive sometime in “early May.” Gurman had previously reported that new iPads could arrive in March or April, not long after the updated M3 MacBook Airs.

Gurman suggests that “complex new manufacturing techniques” for the new iPad screens have “contributed to the delay,” and that Apple is also “working to finish software for the devices.”

The details of what the new iPads will look like hasn’t changed. The new iPad Pro models will shift to using OLED display panels for the first time and will have their designs tweaked for the first time since the 2018 iPad Pros introduced the current rounded, slim-bezeled look. Those new iPad Pros will also come with redesigned Magic Keyboard and Apple Pencil accessories, though it’s unclear whether those accessories will be totally rethought or if they’ll just tweak existing designs to work with the new tablets.

The iPad Air refresh will be more straightforward. It should retain the current design, which is very similar to the 2018-era iPad Pro refresh but with a power button-mounted TouchID fingerprint sensor instead of a FaceID camera for authentication. But the new Airs will come with an M2 chip instead of the current M1, and a 12.9-inch variant will provide a less-expensive large-screened option for people who want to use their iPad as their primary computer but who don’t want to pay for the extra bells and whistles of the Pro.

Some rumors have suggested the iPad Pro could come with a price hike relative to the current-generation model, though the sources of those rumors can’t agree on how big a jump it would be. Gurman hasn’t mentioned Apple’s pricing plans in his reports.

There’s also no word about the other tablets in Apple’s lineup, all of which are at least a year or two old. The sixth-generation iPad mini and the $329 ninth-generation iPad were last updated in September 2021, while the awkwardly positioned 10th-generation iPad was released in October 2022.

New hardware is always nice to have, but it does continue to feel like the power of Apple’s M-series chips is a bit wasted on Apple’s tablets. The iPad’s relatively limited multitasking model, restrictions on third-party software and the general dearth of performance-intensive high-end apps in Apple’s app store mean that performance really isn’t a problem on current-generation iPads; there’s nothing an iPad can currently do that an M1 can’t handle with room to spare. Apple will announce new operating system versions at its Worldwide Developers Conference keynote on June 10; it’s possible that iPadOS will get some new features that more fully leverage the power of Apple’s newer chips.

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google-says-running-ai-models-on-phones-is-a-huge-ram-hog

Google says running AI models on phones is a huge RAM hog

8GB of RAM ought to be enough for anybody —

Google wants AI models to be loaded 24/7, so 8GB of RAM might not be enough.

The Google Gemini logo.

Enlarge / The Google Gemini logo.

Google

In early March, Google made the odd announcement that only one of its two latest smartphones, the Pixel 8 and Pixel 8 Pro, would be able to run its latest AI model, called “Google Gemini.” Despite having very similar specs, the smaller Pixel 8 wouldn’t get the new AI model, with the company citing mysterious “hardware limitations” as the reason. It was a strange statement considering the fact that Google designed and marketed the Pixel 8 to be AI-centric and then designed a smartphone-centric AI model called “Gemini Nano” yet still couldn’t make the two work together.

A few weeks later, Google is backtracking somewhat. The company announced on the Pixel Phone Help forum that the smaller Pixel 8 actually will get Gemini Nano in the next big quarterly Android release, which should happen in June. There’s a catch, though—while the Pixel 8 Pro will get Gemini Nano as a user-facing feature, on the Pixel 8, it’s only being released “as a developer option.” That means you’ll be able to turn it on only via the hidden Developer Options menu in the settings, and most people will miss out on it.

Google’s Seang Chau, VP of devices and services software, explained the decision on the company’s in-house “Made by Google” podcast. “The Pixel 8 Pro, having 12GB of RAM, was a perfect place for us to put [Gemini Nano] on the device and see what we could do,” Chau said. “When we looked at the Pixel 8 as an example, the Pixel 8 has 4GB less memory, and it wasn’t as easy of a call to just say, ‘all right, we’re going to enable it on Pixel 8 as well.'” According to Chau, Google’s trepidation is because the company doesn’t want to “degrade the experience” on the smaller Pixel 8, which only has 8GB of RAM.

Chau went on to describe what it’s like to have a large language model like Gemini Nano on your phone, and it sounds like there are big trade-offs involved. Google wants some of the AI models to be “RAM-resident” so they’re always loaded in memory. One such feature is “smart reply,” which tries to auto-generate text replies.

Chau told the podcast, “Smart Reply is something that requires the models to be RAM-resident so that it’s available all the time. You don’t want to wait for the model to load on a Gboard reply, so we keep it resident.” On the Pixel 8 Pro, smart reply can be turned on and off via the normal keyboard settings, but on the Pixel 8, you’ll need to turn on the developer flag first.

The bigger Pixel 8 Pro gets the latest AI features. The smaller model will have it locked behind a developer option.

Enlarge / The bigger Pixel 8 Pro gets the latest AI features. The smaller model will have it locked behind a developer option.

Google

So unlike an app, which can be loaded and unloaded as you use it, running something like Gemini Nano could mean permanently losing what is apparently a big chunk of system memory. The baseline of 8GB of RAM for Android phones may need to be increased again in the future. The high mark we’ve seen for phones is 24GB of RAM, and the bigger flagships usually have 12GB or 16GB of RAM, so it’s certainly doable.

Google’s Gemini Nano model is also shipping on the Galaxy S24 lineup, and the base model there has 8GB of RAM, too. When Google originally cited hardware limitations on the Pixel 8 for the feature’s absence, its explanation was confusing—if the base-model S24 can run it, the Pixel 8 should be able to as well. It’s all about how much of a trade-off you’re willing to make in available memory for apps, though. Chau says the team is “still doing system health validation because even if you’re a developer, you might want to use your phone on a daily basis.”

The elephant in the room, though, is that as a user, I don’t even know if I want Gemini Nano on my phone. We’re at the peak of the generative AI hype cycle, and Google has its own internal reasons (the stock market) for pushing AI so hard. While visiting ChatGPT and asking it questions can be useful, that’s just an app. Actually useful OS-level generative AI features are few and far between. I don’t really need a keyboard to auto-generate replies. If it’s just going to use up a bunch of RAM that could be used by apps, I might want to turn it off.

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openai-holds-back-wide-release-of-voice-cloning-tech-due-to-misuse-concerns

OpenAI holds back wide release of voice-cloning tech due to misuse concerns

AI speaks letters, text-to-speech or TTS, text-to-voice, speech synthesis applications, generative Artificial Intelligence, futuristic technology in language and communication.

Voice synthesis has come a long way since 1978’s Speak & Spell toy, which once wowed people with its state-of-the-art ability to read words aloud using an electronic voice. Now, using deep-learning AI models, software can create not only realistic-sounding voices, but also convincingly imitate existing voices using small samples of audio.

Along those lines, OpenAI just announced Voice Engine, a text-to-speech AI model for creating synthetic voices based on a 15-second segment of recorded audio. It has provided audio samples of the Voice Engine in action on its website.

Once a voice is cloned, a user can input text into the Voice Engine and get an AI-generated voice result. But OpenAI is not ready to widely release its technology yet. The company initially planned to launch a pilot program for developers to sign up for the Voice Engine API earlier this month. But after more consideration about ethical implications, the company decided to scale back its ambitions for now.

“In line with our approach to AI safety and our voluntary commitments, we are choosing to preview but not widely release this technology at this time,” the company writes. “We hope this preview of Voice Engine both underscores its potential and also motivates the need to bolster societal resilience against the challenges brought by ever more convincing generative models.”

Voice cloning tech in general is not particularly new—we’ve covered several AI voice synthesis models since 2022, and the tech is active in the open source community with packages like OpenVoice and XTTSv2. But the idea that OpenAI is inching toward letting anyone use their particular brand of voice tech is notable. And in some ways, the company’s reticence to release it fully might be the bigger story.

OpenAI says that benefits of its voice technology include providing reading assistance through natural-sounding voices, enabling global reach for creators by translating content while preserving native accents, supporting non-verbal individuals with personalized speech options, and assisting patients in recovering their own voice after speech-impairing conditions.

But it also means that anyone with 15 seconds of someone’s recorded voice could effectively clone it, and that has obvious implications for potential misuse. Even if OpenAI never widely releases its Voice Engine, the ability to clone voices has already caused trouble in society through phone scams where someone imitates a loved one’s voice and election campaign robocalls featuring cloned voices from politicians like Joe Biden.

Also, researchers and reporters have shown that voice-cloning technology can be used to break into bank accounts that use voice authentication (such as Chase’s Voice ID), which prompted Sen. Sherrod Brown (D-Ohio), the chairman of the US Senate Committee on Banking, Housing, and Urban Affairs, to send a letter to the CEOs of several major banks in May 2023 to inquire about the security measures banks are taking to counteract AI-powered risks.

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apple’s-first-new-3d-vision-pro-video-since-launch-is-only-a-few-minutes-long

Apple’s first new 3D Vision Pro video since launch is only a few minutes long

Immersive Video —

Major League Soccer highlight reel is the first Immersive Video since launch.

  • All the available Immersive Video launch content fit on a small strip in the TV app.

    Samuel Axon

  • Initial videos were labeled as episodes in a series, but subsequent episodes haven’t come.

Tonight, Apple will debut some new Immersive Video content for the Vision Pro headset—the first sports content for the device. It doesn’t seem like much after two months of no new content, though.

Starting at 6 pm PT/9 pm ET, Vision Pro users will be able to watch a sports film captured for the platform’s Immersive Video format. The video will be a series of highlights from last year’s Major League Soccer (MLS) playoffs, and according to Six Colors, it will run just five minutes. It will be free for all Vision Pro users.

On February 2, Apple released what appeared to be the first episodes of three Immersive Video series: Adventure, Prehistoric Planet, and Wildlife. Each debuted alongside the Vision Pro’s launch with one episode labeled “Episode 1” of “Season 1.”

However, it’s been almost two months, and none of those series have received new episodes. The only other piece of Immersive Video content available is an Alicia Keyes performance video that also debuted on February 2. Most of these videos were only a few minutes long.

That means that this short soccer video depicting sports moments from 2023 will be the only new piece of Immersive Video content Apple has put out since the device launched at the beginning of February.

When I reviewed the Vision Pro as an entertainment device, I lauded its capabilities for viewing 2D films and videos, but I also talked a bit about its 3D video capabilities. I said the first pieces of original 3D content from Apple seemed promising and that I looked forward to future episodes. Given that they were labeled just like Apple TV+ series in the TV app, I assumed they would arrive at a weekly cadence. Further episodes haven’t come.

Notably, Apple didn’t include a first-party app for playing 3D videos downloaded from the web with the Vision Pro, though an independent developer filled that gap with an app called Reality Player. There are a few 3D video streaming or downloading services in the visionOS App Store, but the selection is very anemic compared to what you have access to with other headsets.

Apple hasn’t been calling the Vision Pro a VR headset, opting instead for the term “spatial computing”—and that’s understandable because it does a lot more than most VR headsets.

But if you’re looking for new examples of the sorts of passive viewing content you can enjoy on other headsets, the Vision Pro is still far behind the competition two months in.

The device can display a wealth of 2D video content, but this drives home the initial impression that the Vision Pro is meant for viewing flat, 2D content as windows in 3D space. The situation isn’t quite as dire with apps and games, with a handful of new spatial apps in those categories rolling out in recent weeks.

Most apps behave just like iPad apps, with 2D viewports at the content; you can position those viewports wherever you want in the room around you. Most video content is also 2D.

There are situations where that’s neat to have, but it’s surprising Apple hasn’t invested more in actual 3D content yet. In terms of new stuff, this short soccer video debuting tonight is all we have right now.

Listing image by Samuel Axon

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getting-a-charge:-an-exercise-bike-that-turns-your-pedaling-into-power

Getting a charge: An exercise bike that turns your pedaling into power

Getting a charge: An exercise bike that turns your pedaling into power

I enjoy getting my exercise, but hate doing it indoors. I’d much rather get some fresh air and watch the world drift past me as I cycle or hike somewhere than watch a screen while sweating away on something stationary.

To get a bit more of what I like, I’ve invested in a variety of gear that has extended my cycling season deeper into the winter. But even with that, there are various conditions—near-freezing temperatures, heavy rains, Canada catching fire—that have kept me off the roads. So, a backup exercise plan has always been on my to-do list.

The company LifeSpan offers exercise equipment that fits well into a home office and gave me the chance to try its Ampera model. It’s a stationary bike that tucks nicely under a standing desk and has a distinct twist: You can pedal to power the laptop you’re working on. Overall, the hardware is well-designed, but some glitches, software issues, and design decisions keep it from living up to its potential.

Solid hardware

Many aspects of the Ampera are pretty well designed. Its hefty weight keeps it stable even when someone my size (~90 kg/200 lbs) is pedaling away on it. If it starts tilting, there’s a metal ring around the base that should keep it from falling over, although I’ve been fortunate enough not to test this. Despite its size, it’s still easy to move around since it tilts forward onto some wheels and rolls around easily.

That tilting is best managed by using a handle that attaches to the underside of the seat. That’s more of a mixed bag, as it limits how far back on the seat you can sit. It should be possible to install it upside-down so the handle tilts under the seat if this is a problem, though. The height of the seat is easily adjustable. It telescopes out of the base on a metal pole; pull up on a lever under the seat, and it will slide up or down to wherever you find comfortable.

Even with my relatively long legs, I had no problem finding a comfortable setting. However, to keep working while pedaling, I needed to set a standing desk at its maximum height. This is not something that you can expect to use while sitting at a more traditional desk.

As for the seat itself, it’s wide and cushy, so quite unlike a typical bike saddle. There are a few things about this that I’m not convinced by. To start with, the padding will eventually wear down if it’s heavily used, and the use of a non-cycling attachment—it bolts onto a flat metal plate—means it’s going to be harder to replace. The fabric might also be a problem if, as I do, you tend to sweat a lot while exercising. (More expensive stationary bikes, like Pelotons, can fit standard bicycle seats.)

The seat of the Ampera isn't typical cycling hardware, and incorporates a handled to move the base around.

Enlarge / The seat of the Ampera isn’t typical cycling hardware, and incorporates a handled to move the base around.

John Timmer

The pedals are fine. The texture of the polymer mostly kept my feet where I wanted them. The occasional slip was likely because I’m unused to thinking about how to keep my feet in place—the product of using clipless pedals on both my road and mountain bikes.

The two other notable features of the hardware are a ring of colored LEDs around the cranks, a USB-C port at the front of the base, and a Qi wireless charging pad in the center of the pedestal. There aren’t any controls on the hardware; everything is controlled via software.

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