An anonymous reader quotes a report from BleepingComputer: Law enforcement authorities have dismantled a botnet that infected thousands of routers over the last 20 years to build two networks of residential proxies known as Anyproxy and 5socks. The U.S. Justice Department also indicted three Russian nationals (Alexey Viktorovich Chertkov, Kirill Vladimirovich Morozov, and Aleksandr Aleksandrovich Shishkin) and a Kazakhstani (Dmitriy Rubtsov) for their involvement in operating, maintaining, and profiting from these two illegal services.

During this joint action dubbed 'Operation Moonlander,' U.S. authorities worked with prosecutors and investigators from the Dutch National Police, the Netherlands Public Prosecution Service (Openbaar Ministerie), and the Royal Thai Police, as well as analysts with Lumen Technologies' Black Lotus Labs. Court documents show that the now-dismantled botnet infected older wireless internet routers worldwide with malware since at least 2004, allowing unauthorized access to compromised devices to be sold as proxy servers on Anyproxy.net and 5socks.net. The two domains were managed by a Virginia-based company and hosted on servers globally.

On Wednesday, the FBI also issued a flash advisory (PDF) and a public service announcement warning that this botnet was targeting patch end-of-life (EoL) routers with a variant of the TheMoon malware. The FBI warned that the attackers are installing proxies later used to evade detection during cybercrime-for-hire activities, cryptocurrency theft attacks, and other illegal operations. The list of devices commonly targeted by the botnet includes Linksys and Cisco router models, including:

- Linksys E1200, E2500, E1000, E4200, E1500, E300, E3200, E1550
- Linksys WRT320N, WRT310N, WRT610N
- Cisco M10 and Cradlepoint E100 "The botnet controllers require cryptocurrency for payment. Users are allowed to connect directly with proxies using no authentication, which, as documented in previous cases, can lead to a broad spectrum of malicious actors gaining free access," Black Lotus Labs said. "Given the source range, only around 10% are detected as malicious in popular tools such as VirusTotal, meaning they consistently avoid network monitoring tools with a high degree of success. Proxies such as this are designed to help conceal a range of illicit pursuits including ad fraud, DDoS attacks, brute forcing, or exploiting victim's data."

"4chan, down for more than a week after hackers got in through an insecure script that handled PDFs, is back online," notes BoingBoing. (They add that Thursday saw 4chan's first blog postin years — just the words "Testing testing 123 123...") But 4chan posted a much longer explanation on Friday," confirming their servers were compromised by a malicious PDF upload from "a hacker using a UK IP address," granting access to their databases and administrative dashboard.

The attacker "spent several hours exfiltrating database tables and much of 4chan's source code. When they had finished downloading what they wanted, they began to vandalize 4chan at which point moderators became aware and 4chan's servers were halted, preventing further access." While not all of our servers were breached, the most important one was, and it was due to simply not updating old operating systems and code in a timely fashion. Ultimately this problem was caused by having insufficient skilled man-hours available to update our code and infrastructure, and being starved of money for years by advertisers, payment providers, and service providers who had succumbed to external pressure campaigns. We had begun a process of speccing new servers in late 2023. As many have suspected, until that time 4chan had been running on a set of servers purchased second-hand by moot a few weeks before his final Q&A [in 2015], as prior to then we simply were not in a financial position to consider such a large purchase. Advertisers and payment providers willing to work with 4chan are rare, and are quickly pressured by activists into cancelling their services. Putting together the money for new equipment took nearly a decade...

The free time that 4chan's development team had available to dedicate to 4chan was insufficient to update our software and infrastructure fast enough, and our luck ran out. However, we have not been idle during our nearly two weeks of downtime. The server that was breached has been replaced, with the operating system and code updated to the latest versions. PDF uploads have been temporarily disabled on those boards that supported them, but they will be back in the near future. One slow but much beloved board, /f/ — Flash, will not be returning however, as there is no realistic way to prevent similar exploits using .swf files.

We are bringing on additional volunteer developers to help keep up with the workload, and our team of volunteer janitors & moderators remains united despite the grievous violations some have suffered to their personal privacy.

4chan is back. No other website can replace it, or this community. No matter how hard it is, we are not giving up.

Longtime Slashdot reader hackingbear shares a report from Interesting Engineering: A research team at Fudan University in Shanghai, China has built the fastest semiconductor storage device ever reported, a nonvolatile flash memory dubbed "PoX" that programs a single bit in 400 picoseconds (0.0000000004 s) -- roughly 25 billion operations per second. Conventional static and dynamic RAM (SRAM, DRAM) write data in 1-10 nanoseconds but lose everything when power is cut while current flash chips typically need micro to milliseconds per write -- far too slow for modern AI accelerators that shunt terabytes of parameters in real time.

The Fudan group, led by Prof. Zhou Peng at the State Key Laboratory of Integrated Chips and Systems, re-engineered flash physics by replacing silicon channels with two dimensional Dirac graphene and exploiting its ballistic charge transport. Combining ultralow energy with picosecond write speeds could eliminate separate highspeed SRAM caches and remove the longstanding memory bottleneck in AI inference and training hardware, where data shuttling, not arithmetic, now dominates power budgets. The team [which is now scaling the cell architecture and pursuing arraylevel demonstrations] did not disclose endurance figures or fabrication yield, but the graphene channel suggests compatibility with existing 2Dmaterial processes that global fabs are already exploring. The result is published in the journal Nature.

Remember how last weekend Meta claimed its "Maverick" AI model (in the newly-released Llama-4 series) beat GPT-4o and Gemini Flash 2 "on all benchmarks... This thing is a beast."

And then how within a day several AI researchers pointed out that even Meta's own announcement admitted the Maverick tested on LM Arena was an "experimental chat version," as TechCrunch pointed out. ("As we've written about before, for various reasons, LM Arena has never been the most reliable measure of an AI model's performance. But AI companies generally haven't customized or otherwise fine-tuned their models to score better on LM Arena — or haven't admitted to doing so, at least.")

Friday TechCrunch on what happened when LMArena tested the unmodified release version of Maverick (Llama-4-Maverick-17B-128E-Instruct).

It ranked 32nd.

"For the record, older models like Claude 3.5 Sonnet, released last June, and Gemini-1.5-Pro-002, released last September, rank higher," notes the tech site Neowin.

Meta released two new Llama 4 models over the weekend -- Scout and Maverick -- with claims that Maverick outperforms GPT-4o and Gemini 2.0 Flash on benchmarks. Maverick quickly secured the number-two spot on LMArena, behind only Gemini 2.5 Pro.

Researchers have since discovered that Meta used an "experimental chat version" of Maverick for LMArena testing that was "optimized for conversationality" rather than the publicly available version.

In response, LMArena said "Meta's interpretation of our policy did not match what we expect from model providers" and announced policy updates to prevent similar issues.

It's "a milestone for Meta AI and for open source," Mark Zuckerberg said this weekend. "For the first time, the best small, mid-size, and potentially soon frontier [large-language] models will be open source."

Zuckerberg anounced four new Llama LLMs in a video posted on Instagram and Facebook — two dropping this weekend, with another two on the way. "Our goal is to build the world's leading AI, open source it, and make it universally accessible so that everyone in the world benefits."

Zuckerberg's announcement: I've said for a while that I think open source AI is going to become the leading models. And with Llama 4 this is starting to happen.

- The first model is Llama 4 Scout. It is extremely fast, natively multi-modal. It has an industry-leading "nearly infinite" 10M-token context length, and is designed to run on a single GPU. [Meta's blog post says it fits on an NVIDIA H100]. It is 17 billion parameters by 16 experts, and it is by far the highest performing small model in its class.

- The second model is Llama 4 Maverick — the workhorse. It beats GPT-4o and Gemini Flash 2 on all benchmarks. It is smaller and more efficient than DeepSeek v3, but it is still comparable on text, plus it is natively multi-modal. This one is 17B parameters x 128 experts, and it is designed to run on a single host for easy inference.

This thing is a beast.
Zuck promised more news next month on "Llama 4 Reasoning" — but the fourth model will be called Llama 4 Behemoth. "This thing is massive. More than 2 trillion parameters." (A blog post from Meta AI says it also has a 288 billion active parameter model, outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks, and will "serve as a teacher for our new models.")

"I'm not aware of anyone training a larger model out there," Zuckberg says in his video, calling Behemoth "already the highest performing base model in the world, and it is not even done training yet."

"If you want to try Llama 4, you can use Meta AI in WhatsApp, Messenger, or Instagram Direct," Zuckberg said in his video, "or you can go to our web site at meta.ai." The Scout and Maverick models can be downloaded from llama.com and Hugging Face.

"We continue to believe that openness drives innovation," Meta AI says in their blog post, "and is good for developers, good for Meta, and good for the world." Their blog post declares it's "The beginning of a new era of natively multimodal AI innovation," calling Scout and Maverick "the best choices for adding next-generation intelligence." This is just the beginning for the Llama 4 collection. We believe that the most intelligent systems need to be capable of taking generalized actions, conversing naturally with humans, and working through challenging problems they haven't seen before. Giving Llama superpowers in these areas will lead to better products for people on our platforms and more opportunities for developers to innovate on the next big consumer and business use cases. We're continuing to research and prototype both models and products, and we'll share more about our vision at LlamaCon on April 29...

We also can't wait to see the incredible new experiences the community builds with our new Llama 4 models.
"The impressive part about Llama 4 Maverick is that with just 17B active parameters, it has scored an ELO score of 1,417 on the LMArena leaderboard," notes the tech news site Beebom. "This puts the Maverick model in the second spot, just below Gemini 2.5 Pro, and above Grok 3, GPT-4o, GPT-4.5, and more.

"It also achieves comparable results when compared to the latest DeepSeek V3 model on reasoning and coding tasks, and surprisingly, with just half the active parameters."

Micron will raise prices for DRAM and NAND flash memory chips through 2026 as AI and data center demand strains supply chains, the U.S. chipmaker confirmed Monday. The move follows a market rebound from previous oversupply, with memory prices steadily climbing as producers cut output while AI and high-performance computing workloads grow.

Rivals Samsung Electronics and SK Hynix are expected to implement similar increases. Micron cited "un-forecasted demand across various business segments" in communications to channel partners. The price hikes will impact sectors ranging from consumer electronics to enterprise data centers.

An anonymous reader quotes a report from TechCrunch: It's only been a day since ChatGPT's new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite Japanese animation studio behind blockbuster films such as "My Neighbor Totoro" and "Spirited Away." In the last 24 hours, we've seen AI-generated images representing Studio Ghibli versions of Elon Musk, "The Lord of the Rings", and President Donald Trump. OpenAI CEO Sam Altman even seems to have made his new profile picture a Studio Ghibli-style image, presumably made with GPT-4o's native image generator. Users seem to be uploading existing images and pictures into ChatGPT and asking the chatbot to re-create it in new styles.

OpenAI's latest update comes on the heels of Google's release of a similar AI image feature in its Gemini Flash model, which also sparked a viral moment earlier in March when people used it to remove watermarks from images. OpenAI's and Google's latest tools make it easier than ever to re-create the styles of copyrighted works -- simply by typing a text prompt. Together, these new AI image features seem to reignite concerns at the core of several lawsuits against generative AI model developers. If these companies are training on copyrighted works, are they violating copyright law?

According to Evan Brown, an intellectual property lawyer at the law firm Neal & McDevitt, products like GPT-4o's native image generator operate in a legal gray area today. Style is not explicitly protected by copyright, according to Brown, meaning OpenAI does not appear to be breaking the law simply by generating images that look like Studio Ghibli movies. However, Brown says it's plausible that OpenAI achieved this likeness by training its model on millions of frames from Ghibli's films. Even if that was the case, several courts are still deciding whether training AI models on copyrighted works falls under fair use protections. "I think this raises the same question that we've been asking ourselves for a couple years now," said Brown in an interview. "What are the copyright infringement implications of going out, crawling the web, and copying into these databases?"

The devastating impacts of the climate crisis reached new heights in 2024, with scores of unprecedented heatwaves, floods and storms across the globe, according to the UN's World Meteorological Organization. From a report: The WMO's report on 2024, the hottest year on record, sets out a trail of destruction from extreme weather that took lives, demolished buildings and ravaged vital crops. More than 800,000 people were displaced and made homeless, the highest yearly number since records began in 2008.

The report lists 151 unprecedented extreme weather events in 2024, meaning they were worse than any ever recorded in the region. Heatwaves in Japan left hundreds of thousands of people struck down by heatstroke. Soaring temperatures during heatwaves peaked at 49.9C at Carnarvon in Western Australia, 49.7C in the city of Tabas in Iran, and 48.5C in a nationwide heatwave in Mali.

Record rains in Italy led to floods, landslides and electricity blackouts; torrents destroyed thousands of homes in Senegal; and flash floods in Pakistan and Brazil caused major crop losses.

Storms were also supercharged by global heating in 2024, with an unprecedented six typhoons in under a month hitting the Philippines. Hurricane Helene was the strongest ever recorded to strike the Big Bend region of Florida in the US, while Vietnam was hit by Super Typhoon Yagi, affecting 3.6 million people. Many more unprecedented events will have passed unrecorded.

An anonymous reader quotes a report from TechCrunch: Last week, Google expanded access to its Gemini 2.0 Flash model's image generation feature, which lets the model natively generate and edit image content. It's a powerful capability, by all accounts. But it also appears to have few guardrails. Gemini 2.0 Flash will uncomplainingly create images depicting celebrities and copyrighted characters, and -- as alluded to earlier -- remove watermarks from existing photos.

As several X and Reddit users noted, Gemini 2.0 Flash won't just remove watermarks, but will also attempt to fill in any gaps created by a watermark's deletion. Other AI-powered tools do this, too, but Gemini 2.0 Flash seems to be exceptionally skilled at it -- and free to use. To be clear, Gemini 2.0 Flash's image generation feature is labeled as "experimental" and "not for production use" at the moment, and is only available in Google's developer-facing tools like AI Studio. The model also isn't a perfect watermark remover. Gemini 2.0 Flash appears to struggle with certain semi-transparent watermarks and watermarks that canvas large portions of images.

Google is continuing its quest to get more people to use Gemini, and it's doing that by giving away even more AI computing. From a report: Today, Google is releasing a raft of improvements for the Gemini 2.0 models, and as part of that upgrade, some of the AI's most advanced features are now available to free users. You'll be able to use the improved Deep Research to get in-depth information on a topic, and Google's newest reasoning model can peruse your search history to improve its understanding of you as a person.

[...] With the aim of making Gemini more personal to you, Google is also plugging Flash Thinking Experimental into a new source of data: your search history. Google stresses that you have to opt in to this feature, and it can be disabled at any time. Gemini will even display a banner to remind you it's connected to your search history so you don't forget.

Businesses, governments, and researchers continue to struggle with extracting usable data from PDF files, despite AI advances. These digital documents contain valuable information for everything from scientific research to government records, but their rigid formats make extraction difficult.

"PDFs are a creature of a time when print layout was a big influence on publishing software," Derek Willis, a lecturer in Data and Computational Journalism at the University of Maryland, told ArsTechnica. This print-oriented design means many PDFs are essentially "pictures of information" requiring optical character recognition (OCR) technology.

Traditional OCR systems have existed since the 1970s but struggle with complex layouts and poor-quality scans. New AI language models from companies like Google and Mistral now attempt to process documents more holistically, with varying success. "Right now, the clear leader is Google's Gemini 2.0 Flash Pro Experimental," Willis notes, while Mistral's recent OCR solution "performed poorly" in tests.

"The ubiquitous ESP32 microchip made by Chinese manufacturer Espressif and used by over 1 billion units as of 2023 contains an undocumented 'backdoor' that could be leveraged for attacks," writes BleepingComputer.

"The undocumented commands allow spoofing of trusted devices, unauthorized data access, pivoting to other devices on the network, and potentially establishing long-term persistence." This was discovered by Spanish researchers Miguel Tarascó Acuña and Antonio Vázquez Blanco of Tarlogic Security, who presented their findings yesterday at RootedCON in Madrid. "Tarlogic Security has detected a backdoor in the ESP32, a microcontroller that enables WiFi and Bluetooth connection and is present in millions of mass-market IoT devices," reads a Tarlogic announcement shared with BleepingComputer. "Exploitation of this backdoor would allow hostile actors to conduct impersonation attacks and permanently infect sensitive devices such as mobile phones, computers, smart locks or medical equipment by bypassing code audit controls...."

Tarlogic developed a new C-based USB Bluetooth driver that is hardware-independent and cross-platform, allowing direct access to the hardware without relying on OS-specific APIs. Armed with this new tool, which enables raw access to Bluetooth traffic, Targolic discovered hidden vendor-specific commands (Opcode 0x3F) in the ESP32 Bluetooth firmware that allow low-level control over Bluetooth functions. In total, they found 29 undocumented commands, collectively characterized as a "backdoor," that could be used for memory manipulation (read/write RAM and Flash), MAC address spoofing (device impersonation), and LMP/LLCP packet injection.

Espressif has not publicly documented these commands, so either they weren't meant to be accessible, or they were left in by mistake.
Thanks to Slashdot reader ZipNada for sharing the news.

NAND flash prices are expected to slide due to oversupply, forcing memory chipmakers to cut production to match lower-than-expected orders from PC and smartphone manufacturers. From a report: The superabundance of stock is putting a financial strain on suppliers of NAND flash, according to TrendForce, which says growth rate forecasts are being revised down from 30 percent to 10-15 percent for 2025.

"NAND flash manufacturers have adopted more decisive production cuts, scaling back full-year output to curb bit supply growth. These measures are designed to swiftly alleviate market imbalances and lay the groundwork for a price recovery," TrendForce stated.

Shrish Pant, Gartner director analyst and technology product leader, expects NAND flash pricing to remain weak for the first half of 2025, though he projects higher bit shipments for SSDs in the second half due to continuing AI server demand.

"Vendors are currently working tirelessly to discipline supply, which will lead to prices recovering in the second half of 2025. Long term, AI demand will continue to drive the demand for higher-capacity/better-performance SSDs," Pant said. Commenting on the seasonal nature of the memory market, Pant told The Register: "Buying patterns will mean that NAND flash prices will remain cyclical depending on hyperscalers' buying behavior."

AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud compute credits, according to a research paper. From a report: The model, known as s1, performs similarly to cutting-edge reasoning models, such as OpenAI's o1 and DeepSeek's R1, on tests measuring math and coding abilities. The s1 model is available on GitHub, along with the data and code used to train it.

The team behind s1 said they started with an off-the-shelf base model, then fine-tuned it through distillation, a process to extract the "reasoning" capabilities from another AI model by training on its answers. The researchers said s1 is distilled from one of Google's reasoning models, Gemini 2.0 Flash Thinking Experimental. Distillation is the same approach Berkeley researchers used to create an AI reasoning model for around $450 last month.

Zyxel customers are facing reboot loops, high CPU usage, and login issues after an update on Friday went awry. The only fix requires physical access and a Console/RS232 cable, as no remote recovery options are available. The Register reports: "We've found an issue affecting a few devices that may cause reboot loops, ZySH daemon failures, or login access problems," Zyxel's advisory reads. "The system LED may also flash. Please note this is not related to a CVE or security issue." "The issue stems from a failure in the Application Signature Update, not a firmware upgrade. To address this, we've disabled the application signature on our servers, preventing further impact on firewalls that haven't loaded the new signature versions."

The firewalls affected include USG Flex boxes and ATP Series devices running ZLD firmware versions -- installations that have active security licenses and dedicated signature updates enabled in on-premises/standalone mode. Those running on the Nebula platform, on USG Flex H (uOS), and those without valid security licenses are not affected.

CERN's particle accelerator is being used in a pioneering cancer treatment called Flash radiotherapy. This method delivers ultra-high radiation doses in less than a second, minimizes side effects while targeting tumors more effectively than conventional radiotherapy. The BBC reports: In a series of vast underground caverns on the outskirts of Geneva, Switzerland, experiments are taking place which may one day lead to new generation of radiotherapy machines. The hope is that these devices could make it possible to cure complex brain tumors (PDF), eliminate cancers that have metastasized to distant organs, and generally limit the toll which cancer treatment exerts on the human body. The home of these experiments is the European Laboratory for Particle Physics (Cern), best known to the world as the particle physics hub that developed the Large Hadron Collider, a 27 kilometer (16.7 mile)-long ring of superconducting magnets capable of accelerating particles to near the speed of light.

Arguably Cern's crowning achievement was the 2012 discovery of the Higgs boson, the so-called "God Particle" which gives other particles their mass and in doing so lays the foundation for everything that exists in the universe. But in recent years, the centre's unique expertise in accelerating high-energy particles has found a new niche -- the world of cancer radiotherapy. Eleven years ago, Marie-Catherine Vozenin, a radiobiologist now working at Geneva University Hospitals (Hug), and others published a paper outlining a paradigm-shifting approach to traditional radiotherapy treatment which they called Flash. By delivering radiation at ultra-high dose rates, with exposures of less than a second, they showed that it was possible to destroy tumors in rodents while sparing healthy tissue. Its impact was immediate. International experts described it as a seminal breakthrough, and it galvanized fellow radiobiologists around the world to conduct their own experiments using the Flash approach to treat a wide variety of tumors in rodents, household pets, and now humans.

In recent years, animal studies have repeatedly shown that Flash makes it possible to markedly increase the amount of radiation delivered to the body while minimizing the impact that it has on surrounding healthy tissue. In one experiment, healthy lab mice which were given two rounds of radiation via Flash did not develop the typical side effects which would be expected during the second round. In another study, animals treated with Flash for head and neck cancers experienced fewer side effects, such as reduced saliva production or difficulty swallowing. Loo is cautiously optimistic that going forwards, such benefits may also translate to human patients. "Flash produces less normal tissue injury than conventional irradiation, without compromising anti-tumor efficacy -- which could be game-changing," he says. An additional hope is that this could then reduce the risk of secondary cancers (PDF), resulting from radiation-induced damage later in life, although it is still too early to know if that will be the case. [...] But the next phase of research is not only about testing whether Flash works in people. It's also about identifying which kind of radiation is the best one to use.

The climate crisis is "wreaking havoc" on the planet's water cycle, with ferocious floods and crippling droughts affecting billions of people, a report has found. The Guardian: Water is people's most vital natural resource but global heating is changing the way water moves around the Earth. The analysis of water disasters in 2024, which was the hottest year on record, found they had killed at least 8,700 people, driven 40 million from their homes and caused economic damage of more than $550bn.

Rising temperatures, caused by continued burning of fossil fuels, disrupt the water cycle in multiple ways. Warmer air can hold more water vapour, leading to more intense downpours. Warmer seas provide more energy to hurricanes and typhoons, supercharging their destructive power. Global heating can also increase drought by causing more evaporation from soil, as well as shifting rainfall patterns.

Deadly flash floods hit Nepal and Brazil in 2024, while river flooding caused devastation in central Europe, China and Bangladesh. Super Typhoon Yagi, which struck south-east Asia in September, was intensified by the climate crisis, as was Storm Boris which hit Europe the same month. Droughts also caused major damage, with crop production in southern Africa halving, causing more than 30 million people to face food shortages. Farmers were also forced to cull livestock as their pastures dried up, and falling output from hydropower dams led to widespread blackouts.

An anonymous reader quotes a report from TechCrunch: Google has released what it's calling a new "reasoning" AI model -- but it's in the experimental stages, and from our brief testing, there's certainly room for improvement. The new model, called Gemini 2.0 Flash Thinking Experimental (a mouthful, to be sure), is available in AI Studio, Google's AI prototyping platform. A model card describes it as "best for multimodal understanding, reasoning, and coding," with the ability to "reason over the most complex problems" in fields such as programming, math, and physics. [...]

Built on Google's recently announced Gemini 2.0 Flash model, Gemini 2.0 Flash Thinking Experimental appears to be similar in design to OpenAI's o1 and other so-called reasoning models. Unlike most AI, reasoning models effectively fact-check themselves, which helps them avoid some of the pitfalls that normally trip up AI models. As a drawback, reasoning models often take longer -- usually seconds to minutes longer -- to arrive at solutions. Given a prompt, Gemini 2.0 Flash Thinking Experimental pauses before responding, considering a number of related prompts and "explaining" its reasoning along the way. After a while, the model summarizes what it considers to be the most accurate answer.

An anonymous reader quotes a report from The Register: China's Electronics Video Industry Association last week signed off on a standard for a universal remote control -- a gadget Beijing thinks locals need because they're struggling with multiple remotes, but which is also a little more significant in other ways. The standard requires remote controls to allow voice control, and to use one of three means of wireless comms: Bluetooth, infrared, and Star Flash -- more on that later. It has been hailed as a boon for consumers who apparently struggle to find the right remote control to use as they navigate between televisions and set-top boxes.

This standard reportedly detects which device a user wants to control, makes the connection, and eases the chore of directing a stream from a set-top box to a display. Device-makers have been told that televisions and set-top boxes must support the standard, and they've quickly complied: local media report that Chinese consumer electronics outfit Konka has already delivered the first Smart TV capable of handling the universal remote. Building a standard ecosystem for universal remotes has obvious benefits for consumers, who should be able to use one unit across multiple devices and won't be tied to proprietary tech. But this move has other benefits for Beijing, thanks to its requirement to use China's home-grown Bluetooth alternative, Star Flash.

Star Flash is one of the projects run by the SparkLink Alliance -- a group that lists hundreds of Chinese developers and manufacturers as members. Huawei contributes tech to the group. Chinese IoT hardware vendor Qogrisys has described it as an upgrade to both Bluetooth and Wi-Fi that incorporates ideas used in 5G networks, is capable of handling multiple simultaneous device connections, sips power sparingly so battery-powered devices go longer between recharges, and can stream lossless stereo audio. Chinese consumer electronic and automotive brands are already keen to use Star Flash, and the Alliance is promoting its use in industrial settings too. China will promote use of universal remotes in 2025 -- meaning the protocol may soon appear in millions of domestic devices, giving manufacturers scale to justify further investment.