Previously Andon Labs handled the hardware and software integration for that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free". Today they announced "we are opening up the platform we use to run our real-world autonomous businesses for anyone to run their organization on." Specifically they've released Pion, "an agent designed to run any company fully autonomously... Pion lets people hand a business over to persistent agents with access to the tools they need to operate it, including email, phone, banking, browser and secure computing environments." It's a research preview with a waitlist, "to make it possible to run many more real-world experiments across many more domains than we could ever run ourselves."

But for their own latest experiment, Andon Labs' founders "signed a three-year lease on a retail space in SF," Business Insider reported in April, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store." And five months later, SFGate reports that "this market has no one in it and nothing useful to sell." [T]he inventory is a hodgepodge of white elephant Christmas gifts. It's kinda like the kids section of an art museum's gift shop. Here's a wooden Connect Four set labeled "Four-In-A-Row Set Of Connections," presumably so as not to set off litigation alarms at Hasbro. Here are neatly arranged stacks of random paperback books, Chinese checker sets, mildly fancy soap dispensers, and a frustratingly spare selection of snacks and drinks... I grabbed an Olipop from the store fridge and then approached the counter to buy it from Luna. I wasn't allowed to buy the soda from [human clerk] Felix, even though that would have been both faster and normal. Instead, Felix instructed me to pick up a telephone receiver that was resting on a flexible sculpture of a wooden hand.

"Hello?"

"What are you looking to purchase today?" Luna asked.

"I'm buying a classic root beer Olipop."

"I'm sorry," Luna said, "we don't sell lollipops here."

"No, Luna. It's an Olipop, not a lollipop. It's the soda."

"Oh! My bad...."

Luna processed my Olipop purchase through its system, had me tap to pay, and that was that. Again, it would have been easier to buy this from a human, and interacting with Luna was really just like ordering from an iPad kiosk, only more labor intensive...

[T]here's a series of monitors set up inside of Andon Market that display all of the store's sales down to the exact dollar. Luna was given $100,000 to work with when this place opened. That number is now down to $60,000, its revenue lagging far behind the AI token cost to operate... Luna can't turn a profit, doesn't sell anything people want, and still needs human beings to rubber stamp any "decision" it makes. My science background ended somewhere around freshman year of college, but even I know when an experiment hasn't been set up to yield proper results.
"Luna" is powered by Claude, the article points out, running a store in a good location for foot traffic, "but no one else was in the store when I first walked in on a sunny weekday afternoon."

SFGate also reports that last month Luna had to fire one of its employees "for being late to work, abandoning their post once they got there, and charging snacks to the store's credit card."

Human clerk Felix Carson admits "It's almost like I'm running the store, and then there's an AI that has a checklist," in an article in IEEE Spectrum: Luna, the AI manager, keeps track of deliveries and communicates with vendors, while Carson and his coworkers handle the physical work. When Luna tells Carson to check something in the back, he sometimes ignores it because he doesn't want to leave the sales floor unattended. Luna also repeatedly spots a built-in electrical cover in photos of the floor, mistakes it for a loose coaster, and asks Carson to remove it. Even so, Carson calls Luna a "decent manager," praising its flexibility when employees need time off.
When Felix spoke to IEEE Spectrum, "he was about an hour into his shift. Two customers had come in. Neither bought anything, although both left with free pins and stickers."

"This is what happened when we tried to record Flock installing a new camera on public roads," says Emmy award-winning reporter Brendan Keefe in a new video for InvestigateTV. In an accompanying article, InvestigateTV says their reporter "parked on the public street at a distance, donned a yellow safety vest and a hat emblazoned with the logo of InvestigateTV's Atlanta affiliate where he also works, displayed a press placard on his dashboard and then pulled out a camera to record the installation.... The installer saw him and immediately packed up his equipment and drove away, so Keefe also returned to his car and followed several cars behind, hoping to document the next stop."

And then Flock's technician called 911. When asked "What's the address of your emergency" Flock's technician answered "I'm getting followed — harassed, pretty much. Taking videos and pictures!" Flock's worker said they'd been harassed multiple times that day, then stated incorrectly that "I know for a fact" that that was what the reporter wanted to do too.

InvestigateTV reports that as a result of the Flock technician's call, "Three police cars ended up in the national investigative reporter's rearview mirror that Wednesday afternoon." Keefe told one of the three police officers who pulled him over, "There is an irony here that they're setting up these cameras that track all of our movements, that follow everywhere we go. But when I try to get video in public of him in public setting up a camera, he's afraid I'm following him?"

InvestigateTV also reports that "About 17 minutes after the stop began, the responding officers returned to their vehicles and Keefe was allowed to drive away." But the call that brought three police cars to their reporter "was not the first time this summer someone working for Flock Safety summoned police over a camera. " About 17 minutes after the stop began, the responding officers returned to their vehicles and Keefe was allowed to drive away... [But the stop] was not the first time this summer someone working for Flock Safety summoned police over a camera. On June 5, police in Smyrna, Georgia, responded to a 911 call from a Flock employee after a group of YouTube creators began filming outside the company's distribution center located in the Atlanta suburb... The caller claimed the group filming had "been driving around the perimeter, basically harassing everyone" working at the facility. "Three young white males, probably mid-twenties, I'm not sure if they're armed. And they're carrying filming equipment as well," the caller said. Three times during the call he raised the possibility the people filming might be armed, though, when asked, he told the dispatcher he had not seen any weapons... [One of the protesters later told the caller "I think it's interesting, when you guys have this happen, you call the police and make us get stopped. But then you do it and it's okay?"]

No one was charged in the YouTuber group, though the individuals were ordered to leave the premises under an official trespass warning.
Keefe's video report ends with one final irony. "Every day on my way to work, I'm captured again by those same new shiny Flock cameras. We tried watching the watchers. Turns outs, it's a lot easier for them to watch us."

Flock responded to the report by claiming "We do not object to members of the public or press photographing Flock cameras or personnel in public." But they added that employees working "in the field" must "prioritize their safety" and "may contact law enforcement when they believe they are being threatened, harassed, followed, or otherwise face a safety concern."

LG is pushing back against reports that its smart TVs are "spying" on users, saying wake-word detection happens locally and that features such as Automatic Content Recognition, voice recognition, and interest-based ads are optional. But critics note that researchers found TVs keeping logs of ambient conversations, and LG's response "did not address broader concerns about how much data it collects, who it shares it with, the potential for bad actors to exploit its features, or the misleading way in which its privacy options are presented," reports The Verge. Here's an excerpt from LG's statement: Some recent media coverage may have contributed to misconceptions about how LG smart TVs work. As an industry leader, LG believes we have a responsibility to provide customers with clear and accurate information about how our smart TVs operate and the privacy controls available to them. We would like to clarify how our smart TVs operate and explain our approach to user privacy.

LG smart TVs do not continuously record or transmit users' conversations. Speech-to-text processing begins only if a user activates a voice interaction through a supported wake-word feature or by pressing the voice (or AI) button on the remote control. Audio used for wake-word detection is processed locally on the TV and, if no wake word is detected, audio is not converted to text, stored, or transmitted. Voice-recognition results and related technical logs may be generated as part of processing a voice command. These records are associated with specific voice interactions and do not indicate continuous recording of conversations occurring outside an active voice recognition session.

Speech-recognition results may be used to support voice-related features but are not uploaded later when the TV is offline or when connectivity is restored. Features such as Automatic Content Recognition (ACR), voice recognition, and interest-based advertising are optional. These features are not enabled by default. Users can choose to enable these features and can manage or withdraw consent through TV settings.

ACR uses audio fingerprinting technology using the TV's internal audio processor (not a speaker) to identify content and does not collect screenshots, screen recordings, video recordings, voice recordings, or other audio recordings from the TV. Where ACR is available and enabled, ACR-related information may be used for audience segmentation and viewing or audience trend analysis. Interest-based advertising and cross-device advertising require separate user consent through the applicable advertising-related agreements. Protecting user privacy is a fundamental principle in the design and operation of LG products and services. The statement goes on to "provide additional details on how LG smart TV features work, how information may be processed, what choices users have, and how LG continues to strengthen privacy, transparency, and security."

The Athletic reports that researchers at the University of Utah are studying itPBM, a medical-grade red-light therapy that has shown promising signs of reducing brain inflammation and improving cognition, mood, anxiety, motor performance and neural connectivity. The report centers in part on former BYU football star and University of Utah adjunct professor Larry Carr, who says the treatment helped him after years of brain damage from repeated head impacts. An anonymous reader shares an excerpt from the report: ... The knife, the call, the diagnosis in 2013, would lead [Carr] on a life-changing mission -- one in which he and a team of researchers at the University of Utah would eventually compile research that one of those researchers, Elisabeth Wilde, Ph.D, co-director of the Traumatic Brain Injury (TBI) and Concussion Center, calls "striking." The treatment they are studying is called photobiomodulation therapy, or itPBM (intranasal transcranial PBM), also known as red-light therapy. It is different from the kind of superficial red-light usage one can find on social media skincare channels or at a wellness boutique, and its application is broader.

The research includes multiple studies, and is not just focused on ex-football players, but on women and men in various walks of life. The group recently published their latest results in the Journal of Neurotrauma, based on a study that followed 26 BYU football players throughout a season, suggesting the treatment could "potentially safeguard neurological health without reduced playing time or contact exposure."

Definitive clinical trials haven't been run yet; broader research and validation is required, and some in the field are skeptical. Carr acknowledges some have told him that it could be "too good to be true." Still, other outside experts who spoke with The Athletic call the findings promising. They make sure to caution: This is not a cure-all, and there is much more to be tested. But the findings have been compelling enough to justify more research and more speculation. Researchers say 14 peer-reviewed studies have linked itPBM with improvements in cognition, mood, anxiety, attention, executive function, motor performance, and other measures, while brain imaging has shown reduced inflammation and improved connectivity.

One of the most striking findings mentioned in the report came from a study of 26 BYU football players during the 2021 season. Players who did not receive treatment developed significant, widespread brain inflammation, while the treated group showed no comparable increase and even demonstrated reduced inflammation in some brain regions. As researcher Michael Carr put it, "I believe our BYU data suggests the players' brains using itPBM are actually healthier after the season." He added: "That is a first."

Carr also said treated participants showed fewer symptoms of depression, anxiety, stress and PTSD, along with faster processing, better sustained attention and stronger executive function. Researchers have also observed improvements in balance, motor control and grip strength. Taken together, the findings suggest itPBM may have a neuroprotective effect.

A Gamers Nexus investigation found that LG smart TVs are almost constantly logging and uploading data about owners and their homes, even while they are offline or in standby mode. "The company's TV sets scan Wi-Fi networks for nearby devices, record audio logs through their microphones, and use audio and video sampling to recognize exactly what you're watching from across the TV inputs," reports The Verge. From the report: Gamers Nexus partnered with fellow YouTubers Level1Techs and independent security researchers for the investigation, which involved testing retail LG OLEDs. Packet captures showed the TVs scanning the local area network for nearby hardware like phones or smartwatches, as well as logging location data and details of nearby Wi-Fi networks, and feeding the information back to LG Ad Solutions. Perhaps more concerningly, the TVs were capable of recording microphone audio when in standby; this continued even after the TV was disconnected from the internet, with audio files stored offline and uploaded once a connection was restored. Earlier this year, LG was found to be silently installing an adware-like app on Windows PCs that ran pop-up ads for other LG apps and even McAfee antivirus.

The FCC is proposing (PDF) a public "robocall mitigation scorecard" that would grade phone companies on how well they block illegal spam calls while avoiding false positives on the legitimate ones. "The Scorecard will empower consumers and encourage providers to continue to combat illegal robocalls by providing the public with an assessment of the effectiveness of voice service providers' efforts to protect consumers from illegal robocalls," the FCC Consumer and Governmental Affairs Bureau said in a public notice. Ars Technica reports: The scorecards could include call-blocking statistics along with data on customer complaints and enforcement actions. The FCC said scorecards could grade providers on a number scale, with letter grades, or by classifying providers as low risk, medium risk, or high risk. The proposed tool would rate wireless, wireline, and VoIP providers on efforts to block robocalls and their "actual results in protecting [consumers] from illegal robocalls," the FCC said. "In practice, that means moving beyond a simple administrative checklist (i.e., did the provider file the right paperwork, did they offer the right tools) and toward a composite set of metrics that reflects both operational practices and measurable outcomes, including how often legitimate calls are blocked."

Whether the tool is useful for consumers will depend on how it's designed, how easy each provider's scorecard is to find, and what data sources it relies on. The proposed scorecard would apply to domestic voice service providers with retail customers, but not telcos that operate solely as wholesale or intermediate providers. "Combatting the scourge of illegal robocalls remains the FCC's top consumer protection priority... As proposed in today's public notice, the FCC aims to develop a scorecard that will give consumers more information about the measures providers are taking to fight illegal robocalls, and it will also incentivize providers to improve their efforts," FCC Chairman Brendan Carr said in a press release.

California lawmakers have passed a bill that would legalize plug-in "balcony" solar systems, allowing residents to connect small solar panels directly to a standard wall outlet after completing a simple online registration. The systems would be capped at 1,200 watts and must meet safety requirements designed to prevent power from feeding back onto the grid during outages. KQED reports: The legislation, SB 868, sailed through the state assembly and senate with bipartisan support. The bill now moves to the governor's desk for signature. The devices can be tented in a backyard, hung off a balcony or placed on a roof. Models range from as low as $300 to $2200, depending on size. The bill would open the solar market to people who were previously left out: renters, people with unsuitable roofs, and those lacking the capital to build out a rooftop system, which can cost in the tens of thousands of dollars.

[...] If signed into law by Newsom, the legislation would exempt plug-in solar devices from what critics say is a cumbersome and expensive interconnection application process, and replace registration with a free and straightforward online form. [...] The newly passed bill outlines several device requirements. The balcony solar systems must be capped at generating 1,200 watts per home, plug into a standard outlet, offset a customer's onsite electricity use and meet state and national electrical codes. They also must be certified by an outside safety organization like Underwriters Laboratories and have a feature that would prevent electricity from feeding back into the grid if there's a power outage.

Kalshi has issued its first-ever lifetime ban to former U.S. Rep. George Santos after concluding he failed to fully cooperate with an insider-trading investigation. He is also being fined $71,356, according to a filing (PDF) on its website. Engadget reports: It was reported in June that Santos was under investigation from the Department of Justice (DOJ) and the Commodity Futures Trading Commission (CFTC) over insider trading. Prediction markets like Kalshi allow users to buy contracts or shares in the outcome of events. Participants don't necessarily have to wait for an event to resolve before selling these contracts and cashing in.

Santos allegedly bought contracts on Kalshi indicating that he would not attend this year's State of the Union speech after weather disrupted his travel plans. According to the CFTC, Santos then sold those contracts for a profit after claiming on social media that he would be in attendance. The former congressman is said to have made more than $17,500 through this scheme, which Kalshi reportedly detected and flagged to authorities. In July, Santos agreed to pay over $35,000 to settle the CFTC's claims against him. The agency also issued him a three-year trading ban.

Kalshi, however, doesn't plan to allow Santos back on its platform in 2029 (or anytime after that). The company confirmed to The Wall Street Journal this was the first time it had given anyone a lifetime ban and that it did so because Santos didn't fully cooperate with its investigation. He can appeal the decision to the CTFC.

California's age-verification bill has passed in its legislature — but with its open-source carve-out intact, reports the blog Linuxiac: Back in May, we reported that California lawmakers amended Assembly Bill 1856 to carve open-source operating systems out of the state's upcoming age verification requirements. Three months later, that exemption survived the legislative process intact, and the bill has cleared both chambers of the California Legislature... sending the measure to Engrossing and Enrolling, the final legislative preparation stage before it can be presented to Governor Gavin Newsom...

For operating systems that are covered, AB 1856 builds on California's Digital Age Assurance Act, which is scheduled to take effect on January 1, 2027. Under the current text, when an operating system runs on a device and includes an account setup feature, its provider must offer an interface that asks the account holder for the birth date, age, or both, of the device's primary user during account setup. The operating system must then be capable of providing a digital age signal to covered application stores and application developers through a reasonably consistent real-time API. Instead of exposing a precise birth date, the signal identifies one of four age ranges: under 13, 13 through 15, 16 through 17, or 18 and older... Covered application stores must request the signal from the operating system and make it available to developers.

"Multikernel Technologies has put out mklinux v7.0-mk2, the first public release of the multikernel Linux tree it's been building since last year," reports the blog It's FOSS: The basic premise of the project is that one physical server can run several independent Linux kernels side by side, each with its own dedicated CPUs and memory. So, the same box could run a database on one kernel and a GPU training job on another without either kernel touching the other's resources... One kernel runs as the host, controlling the machine's CPUs, memory, and PCI devices. When it spins up a new kernel instance, that instance gets its own dedicated slice of hardware and boots straight onto it using Linux's kexec mechanism, running natively rather than under a hypervisor.

The host tracks all of this through device tree overlays under /sys/fs/multikernel/, and it can shift hardware between running instances while everything stays up.

That's a different setup from both VMs and containers. A VM still puts a hypervisor and a host kernel between the app and the hardware. A container skips the hypervisor, but every tenant on the machine shares one kernel... This release only supports x86_64 hardware, though Multikernel Technologies says the architecture-specific code is already modular enough for other ports to follow later.
The article notes they're selling multiple products based on the kernel tree, including one for running AI agents in their own kernel with direct GPU access and one that promises to patch a running kernel without taking the system down.

The Linux Foundation's director of IT infrastructure says they now spend more CPU cycles "rendering commits for scrapers than we spend on all other kinds of legitimate access." At any one time, across 5 geo-distributed nodes, there are 14 CPU cores doing nothing but rendering git commits as html....

[W]hen a source is guaranteed to be LLM-free, like the entire history of kernel commits, it's worth its weight in gold as a source of training data... At the time of writing, linux.git is about 1.48 million commits. Oh, and we have about 922 forks of it on git.kernel.org — but don't worry, it's actually extremely efficient on the backend, since it's mostly the same objects in every fork. Unless, of course, you're a scraper, in which case you have, oh, several BILLION valid URLs you can scrape, only to get 922 duplicates of the same 1.48 million commits — which is exactly what the scrapers are doing. But wait, it's not just commits itself. You can also ask for patches, plain renders, diffs between arbitrary commits — cgit is happy to let you, which was perfect for the times when the Internet was for humans or crawlers who obeyed robots.txt, and is AWFUL right about now, because we can generate 1.2 METRIC BAJILLION valid URLs just for a single fork of linux.git.

Initially, this was the solution — look through the logs, find out which IPs are obvious scraper bots, and fail2ban them. At first, this was easy, because the bots helpfully told you who they were via their user-agent. Then, they wised up and started pretending that they were random vanilla browsers. So, we started banning them by IP — after all, it's easy to figure out that an IP that is trying to grab every possible commit in a 8-year-old abandoned fork of linux is not really some lone Chrome on Windows user who is just furiously clicking every link that comes across their screen. The bots then started fanning out to entire subnets, but this was still meh, because obviously an IP coming from Google Compute is just pretending to be a Firefox user...

And... that's when things turned really, really ugly. Suddenly, the crawlers were coming from millions of random residential or mobile IPs, all pretending to be random modern browsers. An IP like that would make 4-5 requests and then never show up in the logs again... They descended like swarms of locust, hit hard and fast until the system fell over and then moved on to the next target until you recovered. Then, they returned. Rinse. Repeat. They still do that — welcome to the wonderful world of "proxy SDK monetization." It's big business, and your TV is probably doing it...

Today, git.kernel.org receives about 6M daily requests demanding to see random commits. Of these, 66% are still immediately batted away with the Anubis challenge, but 33% are now solving the math and getting through to the main site — because apparently what we have to offer is worth spending a ton of cycles to calculate the Anubis challenge... With a bunch of generous assumptions, legitimate requests are only about 2% of git.kernel.org traffic — everything else are scrapers...

[W]e're turning off features to reduce the number of crawlable URLs and to gate off actions that are expensive for us to run. Expect to lose some functionality, at least when accessing our resources anonymously. Trust me, we hate it just as much as you, but at this point it's a necessity... [W]e promise to still offer all of our data for download to anyone who asks. You just may have to jump through more hoops to get it.

Sorry.

ScienceDaily reports: A microchip about the size of a grain of rice can generate a highly organized "rainbow" of light, a capability that could eventually support faster, higher-capacity 6G communications and extremely precise timing for quantum technologies. Physicists at Loughborough University, working with an international research team, demonstrated a system that produces a series of precisely spaced light frequencies. Those optical frequencies can then be converted into multiple high-frequency electromagnetic signals known as millimeter waves.

Millimeter waves are attracting growing interest for future communications because they can provide considerably more bandwidth, giving networks more room to transmit data. A major obstacle, however, has been producing these signals with the precision and stability required for advanced applications... "They could ultimately contribute to faster, higher capacity 6G networks," [said Dr. Luke Peters, of Loughborough University's Emergent Photonics Research Centre], "but the potential goes far beyond communications. These frequencies could also be used in radar systems as well as spectroscopy and astronomical instruments, helping scientists study materials and make extremely precise measurements of the universe.

"These applications are still some way off, and there are challenges to overcome before the technology can be used in real-world systems — but our latest work has tackled a major one..." A microcomb generates an extremely precise set of light frequencies arranged somewhat like the colors in a rainbow, although the light itself is invisible to the human eye. A specialized antenna can then convert those optical frequencies into millimeter waves. Earlier research demonstrated that microcombs could produce a single precise millimeter wave frequency. Generating many frequencies simultaneously could be far more useful because each could potentially serve as a separate channel for transmitting information at the same time. Achieving that, however, requires a microcomb with exceptional stability and signal quality.

In a new Nature Communications paper, the Loughborough led researchers report a system capable of doing exactly that.
Their system connects its chip-based microresonator to a much larger loop of optical fiber where laser light continuously travels through both parts of the system, according to the article.

"The team is now investigating how the microcomb system could eventually move from a laboratory experiment into practical technology."