An anonymous reader quotes a report from The Guardian: This year's Web Summit, in Lisbon, was all about artificial intelligence -- and a robot sorting laundry. Digit, a humanoid built by the US firm Agility Robotics, demonstrated how far AI has come in a few years by responding to voice commands -- filtered through Google's Gemini AI model -- to sift through a pile of colored T-shirts and place them in a basket. It wasn't a seamless demonstration but the enthusiastic response, nearly two years on from the launch of ChatGPT, reflected the excitement about all things AI that pervaded Europe's biggest annual tech conference.

[...] Digit is being used in warehouses by GXO, a US logistics company, to lift boxes and place them on conveyor belts. According to the chief executive of Agility Robotics, Peggy Johnson, a new role could be created managing teams of Digits doing physical work. "Employees who were previously doing this physical work, appreciate the fact that they can hand that off to Digit," she said. "Then it allows them to do a number of other things, one of which is to be a robot manager." "Talk of a bust in the AI boom could not be heard over the shouts of encouragement for Digit as it pondered different shades of garment," reports The Guardian. "Nonetheless, the voices of caution were there, discussing familiar themes such as safety, jobs and the climate, as AI comes to influence a huge range of industries."

An anonymous reader shares a report: The cloud migration narrative that powered tech valuations during the pandemic is attempting a comeback, but the underlying data suggests a more complex story.

UBS's new survey of IT services reveals a striking disconnect between industry expectations and customer reality. While executives proclaim "2025 will be far better than what we've seen in 2024," their enterprise clients report having migrated merely 15% of workloads to the cloud, with the remainder presenting increasingly complex challenges.

The numbers are particularly telling: Growth rates for major cloud providers AWS, Azure, and Google Cloud have declined from pandemic peaks of 40-50% to 10-20%. IT budgets for 2024, meanwhile, are projected to be "flattish to up very slightly, maybe a couple percent," marking a significant departure from the explosive growth of recent years.

British telecom Virgin Media O2 has deployed an AI tool to combat phone scammers by wasting their time with fake conversations, the company said. The AI system, named Daisy, uses voice synthesis to mimic an elderly woman and engages fraudsters in lengthy discussions about fictitious family members or provides false bank details, keeping them occupied for up to 40 minutes per call.

Virgin Media O2 embedded phone numbers connected to Daisy within scammer call lists targeting vulnerable individuals. The system, developed with help from anti-scam YouTuber Jim Browning, automatically transcribes incoming calls and generates responses without human intervention.

Further reading: Google Rolls Out Call Screening AI To Thwart Phone Fraudsters.

An anonymous reader quotes a report from Bloomberg: The Australian government plans to enact laws requiring big tech firms to protect its citizens online, the latest move by the center-left Labor administration to crack down on social media including through age limits and curbs on misinformation. Communications Minister Michelle Rowland announced the government's plan for a legislated Digital Duty of Care in Australia on Wednesday night, saying it aligned with similar laws in the UK and European Union. "It is now time for industry to show leadership, and for social media to recognize it has a social responsibility," Rowland said in a speech in Sydney announcing the measures. It would "keep users safe and help prevent online harms."

In response to the laws, Facebook and Instagram operator Meta Platforms Inc. called for the restrictions to be handled by app stores, such as those run by Google and Apple Inc., rather than the platforms themselves. The government has ignored those requests, but has yet to announce what fines companies would face or what age verification information will need to be provided. At the same time, Albanese has moved forward controversial laws to target misinformation and disinformation online, which opponents have labeled an attack on freedom of speech. Earlier this month, Albanese said the government would legislate for a ban on social media for children under 16, a policy the government says is world-leading. "Social media is doing harm to our kids and I'm calling time on it," Albanese told a news conference.

Francois Chollet, an AI pioneer and creator of the Keras framework, announced that he's leaving Google to co-found a new company. Neowin reports: In his parting message, Chollet assured that he would still be active with Keras and participate in its development on GitHub. His successor, Jeff Carpenter, will now lead Keras at Google, and Chollet expressed his full confidence in the team's future direction.

Keras has come a long way since Chollet released it in 2015, initially as a high-level neural network API meant for simplicity and accessibility. Keras quickly gained traction in the AI community for its user-friendly Python interface and compatibility with frameworks like TensorFlow, simplifying machine learning model building for developers across various levels. Google published a blog post praising Chollet and reaffirming their commitment to Keras.

Last year, Google lost the "Godfather of AI," Geoffrey Hinton, who left the company after nearly a decade. He said he quit his job at Google so he can freely speak out about the risks of AI.

Google is rolling out AI-powered scam call detection for Android phones, aiming to protect users from increasingly sophisticated phone fraud schemes. The new feature, available in beta for Pixel 6 and newer devices, analyzes conversation patterns in real-time to identify potential scams. When suspicious patterns emerge, such as urgently requesting fund transfers, the system alerts users through audio, haptic, and visual warnings.

The detection system operates entirely on-device using Google's machine learning models, with no call audio or transcripts stored or transmitted externally. While Pixel 9 devices utilize Google's advanced Gemini Nano AI model, earlier Pixel phones use the standard machine learning for detection, the company said. The feature, which is opt-in and can be disabled at any time, is currently limited to English-speaking Phone by Google beta users in the United States. Google plans to expand availability to additional Android devices in the future.

Washington Post: The Consumer Financial Protection Bureau has taken steps to place Google under formal federal supervision, an extraordinary move that could subject the technology giant to the regular inspections and other rigorous monitoring that the government imposes on major banks.

Google has fiercely resisted the idea over months of highly secretive talks, according to two people familiar with the discussions, who spoke on the condition of anonymity to describe them -- setting up what may ultimately be a major legal clash with vast implications for the CFPB's powers in the digital age.

The exact scope of the CFPB's concerns is not clear, and its order does not appear to be final. The political fate of the bureau's work under Director Rohit Chopra is also in doubt, as the watchdog agency braces for potentially significant changes to its leadership and agenda with the return of President-elect Donald Trump to the White House.

Formed in the aftermath of the 2008 financial crisis, the CFPB has broad powers to protect consumers from unfair, deceptive or predatory financial practices. That includes the ability to place certain firms under supervision, a status that can afford regulators direct access to the company's internal records to ensure their activities are sound -- and seek fixes if they are not.

Paul Kinlan, who leads the Chrome and the Open Web Developer Relations team at Google, asks and answers the question (with a no.): Frameworks are abstractions over a platform designed for people and teams to accelerate their teams new work and maintenance while improving the consistency and quality of the projects. They also frequently force a certain type of structure and architecture to your code base. This isn't a bad thing, team productivity is an important aspect of any software.

I'm of the belief that software development is entering a radical shift that is currently driven by agents like Replit's and there is a world where a person never actually has to manipulate code directly anymore. As I was making broad and sweeping changes to the functionality of the applications by throwing the Agent a couple of prompts here and there, the software didn't seem to care that there was repetition in the code across multiple views, it didn't care about shared logic, extensibility or inheritability of components... it just implemented what it needed to do and it did it as vanilla as it could.

I was just left wondering if there will be a need for frameworks in the future? Do the architecture patterns we've learnt over the years matter? Will new patterns for software architecture appear that favour LLM management?

OpenAI's latest large language model, known internally as Orion, has fallen short of performance targets, marking a broader slowdown in AI advancement across the industry's leading companies, according to Bloomberg, corroborating similar media stories in recent days. The model, which completed initial training in September, showed particular weakness in novel coding tasks and failed to demonstrate the same magnitude of improvement over its predecessor as GPT-4 achieved over GPT-3.5, the publication reported Wednesday.

Google's upcoming Gemini software and Anthropic's Claude 3.5 Opus are facing similar challenges. Google's project is not meeting internal benchmarks, while Anthropic has delayed its model's release, Bloomberg said. Industry insiders cited by the publication pointed to growing scarcity of high-quality training data and mounting operational costs as key obstacles. OpenAI's Orion specifically struggled due to insufficient coding data for training, the report said. OpenAI has moved Orion into post-training refinement but is unlikely to release the system before early 2024. The report adds: [...] AI companies continue to pursue a more-is-better playbook. In their quest to build products that approach the level of human intelligence, tech firms are increasing the amount of computing power, data and time they use to train new models -- and driving up costs in the process. Amodei has said companies will spend $100 million to train a bleeding-edge model this year and that amount will hit $100 billion in the coming years.

As costs rise, so do the stakes and expectations for each new model under development. Noah Giansiracusa, an associate professor of mathematics at Bentley University in Waltham, Massachusetts, said AI models will keep improving, but the rate at which that will happen is questionable. "We got very excited for a brief period of very fast progress," he said. "That just wasn't sustainable." Further reading: OpenAI and Others Seek New Path To Smarter AI as Current Methods Hit Limitations.

If you have Spotify's soon-to-be-bricked Car Thing, there are a few ways you can give it a new lease on life. YouTuber Dammit Jeff has showcased modifications to Car Thing that makes the device useful as a desktop music controller, customizable shortcut tool, or a simple digital clock. Ars Technica's Kevin Purdy reports: Spotify had previously posted the code for its uboot and kernel to GitHub, under the very unassuming name "spsgsb" and with no announcement (as discovered by Josh Hendrickson). Jeff has one idea why the streaming giant might not have made much noise about it: "The truth is, this thing isn't really great at running anything." It has half a gigabyte of memory, 4GB of internal storage, and a "really crappy processor" (Amlogic S905D2 SoC) and is mostly good for controlling music.

How do you get in? The SoC has a built-in USB "burning mode," allowing for a connected computer, running the right toolkit, to open up root access and overwrite its firmware. Jeff has quite a few issues getting connected (check his video description for some guidance), but it's "drag and drop" once you're in. Jeff runs through a few of the most popular options for a repurposed Car Thing:

- DeskThing, which largely makes Spotify desk-friendly, but adds a tiny app store for weather (including Jeff's own WeatherWave), clocks, and alternate music controls
- GlanceThing, which keeps the music controls but also provides some Stream-Deck-like app-launching shortcuts for your main computer.
- Nocturne, currently invite-only, is a wholly redesigned Spotify interface that restores all its Spotify functionality.

Qwant, France's privacy-focused search engine, and Ecosia, a Berlin-based not-for-profit search engine that uses ad revenue to fund tree planting and other climate-focused initiatives, are joining forces on a joint venture to develop their own European search index. TechCrunch: The pair hopes this move will help drive innovation in their respective search engines -- including and especially around generative AI -- as well as reducing dependence on search indexes provided by tech giants Microsoft (Bing) and Google. Both currently rely on Bing's search APIs while Ecosia also uses Google's search results. Rising API costs are one clear motivator for the move to shrink this Big Tech dependency, with Microsoft massively hiking prices for Bing's search APIs last year.

Neither Ecosia nor Qwant will stop using Bing or Google altogether. However, they aim to diversify the core tech supporting their services with their own index. It will lower their operational costs, and serve as a technical base to fuel their own product development as GenAI technologies take up a more central role in many consumer-facing digital services. Both search engines have already dabbled in integrating GenAI features. Expect more on this front, although they aren't planning to develop AI model development themselves. They say they will continue to rely on API access to major platforms' large language models (LLMs) to power these additions. The pair is also open to other European firms joining in with their push for more tech stack sovereignty -- at least as fellow customers for the search index, as they plan to license access via an API. Other forms of partnership could be considered too, they told TechCrunch.

Google will require all new mobile chipsets launching with Android 15 to support its Android Virtualization Framework (AVF), a significant shift in the operating system's security architecture. The mandate, reports AndroidAuthority that got a hold of Android's latest Vendor Software Requirements document, affects major chipmakers including Qualcomm, MediaTek, and Samsung's Exynos division. New processors like the Snapdragon 8 Elite and Dimensity 9400 must implement AVF support to receive Android certification.

AVF, introduced with Android 13, creates isolated environments for security-sensitive operations including code compilation and DRM applications. The framework also enables full operating system virtualization, with Google demonstrating Chrome OS running in a virtual machine on Android devices.

Google's head of research Yossi Matias maintains that learning to code remains "as important as ever" despite AI's growing role in software development. While AI tools have reduced coding time for some developers -- and Alphabet CEO Sundar Pichai noting that AI now generates a quarter of all code, Matias stressed that human engineers still review and approve AI-generated code.

The Google executive, who also serves as a company VP, acknowledged that junior professionals have faced challenges gaining experience as AI handles entry-level tasks. Google has launched initiatives to support early-career employees through this transition. Matias compared coding literacy to basic mathematics, arguing it provides crucial understanding of technology regardless of career path.

Renew Home says they're building a "virtual power plant" in Texas by "enabling homes to easily reduce and shift the timing of energy use." Thursday they announced a 10-year project distributing hundreds of thousands of smart thermostats to customers of Texas-based power utility NRG Energy, starting next spring. (Bloomberg calls them "AI-enabled thermostats that use Alphabet Inc.'s Google Cloud technology.") The ultimate goal? "Create a nearly 1-gigawatt, AI-powered virtual power plant" — equivalent to 1.9 million solar panels, enough to power about 200,000 homes during peak demand.

One NRG executive touted the move as "cutting-edge, AI-driven solutions that will bolster grid resilience and contribute to a more sustainable future." [Residential virtual power plants] work by aggregating numerous, small-scale distributed energy resources like HVAC systems controlled by smart thermostats and home batteries and coordinating them to balance supply and demand... NRG, in partnership with Renew Home, plans to offer Vivint and Nest smart thermostats, including professional installation, at no cost to eligible customers across NRG's retail electricity providers and plans. These advanced thermostats make subtle automatic HVAC adjustments to help customers shift their energy use to times when electricity is less constrained, less expensive, and cleaner... Over time, the parties expect to add devices like batteries and electric vehicles to the virtual power plant, expanding energy savings opportunities for customers...

Through the use of Google Cloud's data, analytics, and AI technology, NRG will be able to do things like better predict weather conditions, forecast wind and solar generation output, and create predictive pricing models, allowing for more efficient production and ultimately ensuring the home energy experience is seamless for customers.
Google Cloud will also offer "its AI and machine learning to determine the best time to cool or heat homes," reports Bloomberg, "based on a household's energy usage patterns and ambient temperatures."

It was less than a year ago that Renew Home was formed when Google spun off the load-shifting service for its "Google Nest" thermostats, which merged with load-shift management startup OhmConnect. Bloomberg describes this week's announcement as "Three of the biggest names in US home energy automation... coming together to offer some relief to the beleaguered Texas electrical grid."

But they point out that 1 gigawatt is roughly 1% of the record summer demand seen in Texas this year. Still, "The entire industry has been built to serve the peak load on the hottest day of the year," said Rasesh Patel, president of NRG's consumer unit. "This allows us to be a lot more smarter about demand in shaving the peak."

Nathan Sobo "joined GitHub in late 2011 to build the Atom text editor," according to an online biography, "and he led the Atom team until 2018." Max Brunsfeld joined the Atom team in 2013, and "While driving Atom towards its 1.0 launch during the day, Max spent nights and weekends building Tree-sitter, a blazing-fast and expressive incremental parsing framework that currently powers all code analysis at GitHub."

Last year they teamed up with Antonio Scandurra (another Atom alumnus) to launch a new startup called Zed (which in 2023 raised $10 million, according to TechCrunch). And today the open source blog It's FOSS checks in on their open-source code editor — "Zed Editor". Mainly written in Rust, it supports running in CLI, diagnosing project-wide errors, split panes, and markdown previews: By default, any added content is treated as plain text. I used the language switcher to change it to Rust so that I would get proper syntax highlighting, indentation, error detection, and other useful language-specific functions. The switch highlighted all the Rust elements correctly, and I then focused on Zed Editor's user interface. The overall feel of the editor was minimal, with all the important options being laid out nicely.

[Its status bar] had some interesting panels. The first one I checked was the Terminal Panel, which, as the name suggests, lets you run commands, scripts, and facilitates interaction with system files or processes directly from within the editor. I then moved to the Assistant Panel, which is home to various large language models that can be integrated into Zed Editor. There are options like Anthropic, GitHub Copilot Chat, Ollama, OpenAI, and Google AI... The Zed Editor team has also recently introduced Zed AI in collaboration with Anthropic for assisting with coding, allowing for code generation, advanced context-powered interactions, and more...

The real-time collaboration features on Zed Editor are quite appealing too. To check them out, I had to log in with my GitHub account. After logging in, the Collab Panel opened up, and I could see many channels from the official Zed community. I could chat with others, add collaborators to existing projects, join a call with the option to share my screen and track other collaborators' cursors, add new contacts, and carry out many other collaborative tasks.

One can also use extensions and themes to extend what Zed Editor can do. There are some nice pre-installed themes as well.

"The Rust trademark policy has been updated and a new draft is available to view," announced the Rust Foundation this week.

The last proposed trademark policy (in April of 2023) was criticized by open source advocate Bruce Perens in The Register as "far awry of fair use which is legally permitted." The Rust Foundation says this new version has "incorporated a number of suggestions from the Rust community," in a blog post that summarizes the feedback and enumerates specific ways it's been addressed: 1. We primarily plan to lean on community reports for enforcement and have no intention of spending our limited resources policing the work of small creators.

2. We have removed the non-legal language summary and instead have clarified wording throughout as best we can while keeping the policy valid.

3. The Rust trademark does not cover use of the word "Rust" in general and instead pertains to its use in relevant technical settings.

4. We have updated the logo usage policy. Color modifications are allowed.

5. The non-endorsement rule is about managing perception of official affiliation with the Foundation and Rust Project, and is thus subjective.

6. We removed restrictions on the use of "Rust" and "Cargo" in package names. The crates prefixes "rust-" and "cargo-" are no longer reserved to the Rust Project.

7. We will usually allow the community to use the marks on limited merchandise (more details in the updated draft)....

[T]he central purpose of these updates is to empower all Rustaceans to engage with the Rust language ecosystem more confidently. As a final step in this process, we invite you to review the updated policy and share any blocking concerns you might have... Thank you to everyone who weighed in with helpful suggestions on the initial trademark policy draft we shared. The level of engagement and passion within the Rust community is inspiring to all of us at the Rust Foundation.
The tech news site Heise Online writes "It is noticeable that the language is much clearer and dispenses with a lot of legal jargon," in a piece which argues the new draft "should calm the waves and create clarity." The new draft is not only formulated more simply, but is also significantly shorter. Some restrictions have been softened in the new rules or have disappeared completely...

Meanwhile, the Foundation has also adapted its logo so that it is clear which logo stands for the programming language and which for the Foundation. The use of the name Rust is explicitly permitted to identify projects that are either written in the programming language or are compatible with it...

Before the new trademark rules come into force, the Rust Foundation is collecting feedback on the current draft. The web form is open until November 20, 2024.

This week Discover magazine looks at evidence — both old and new — for a ninth planet in our solar system: "Orbits of the most distant small bodies — comets or asteroids — seem to be clustered on one half or one side of the solar system," says Amir Siraj [an astrophysicist with Princeton University]. "That's very weird and something that can't be explained by our current understanding of the solar system." A 2014 study in Nature first noted these orbits. A 2021 study in The Astronomical Journal examined the clustering in the orbit and concluded that "Planet Nine" was likely closer and brighter than expected.

Astrophysicists don't agree whether the clustering in the orbit is a real effect. Some have argued it is biased because the view that scientists currently have is limited, Siraj says. "This debate for the last decade has a lot of scientists confused, including myself. I decided to look at the problem from scratch," he says.

In a 2024 paper, Siraj and his co-authors ran simulations of the solar system, including an extra planet beyond Neptune. "We did it 300 times, about 2.5 times more than what was done previously," Siraj says. "In each simulation, you try different parameters for the extra planet. A different mass, a different tilt, a different shape of the orbit. You run these for millions of years, and then you compare the distribution to what we see in our solar system...." They found that the perimeters for this possible planet were different than what has been previously discussed in the scientific literature, and they supported the possibility of an unseen planet beyond Neptune.

Scientists hope a new telescope will have the potential to see deeper into the solar system. In 2025, the Vera C. Rubin Observatory on Cerro Pachón — a mountain in Chile, is expected to go online. The observatory boasts that in the time it takes a person to open up their phone and pose for a selfie, their new telescope will be able to snap an image of 100,000 galaxies, many of which have never been seen by scientists. The telescope will have the largest digital camera ever built, the LSST. Siraj says he expects it will take "the deepest, all-sky survey that humanity has ever conducted." So, what might the Rubin Observatory find past Neptune? Based on the current literature, Siraj sees a few possibilities. One is that the Rubin Observatory, with its increased capabilities, might be able to see a planet beyond Neptune... "Next year is going to be an enormous year for solar system science," he says.
NASA points out that the Hawaii-based Keck and Subaru telescopes are also searching for Planet X, while "a NASA-funded citizen science project called Backyard Worlds: Planet 9, encourages the public to help search using images captured by NASA's Wide-field Infrared Survey Explorer (WISE) mission.

And starting next year the Rubin observatory will also "search for more Kuiper Belt objects. If the orbits of these objects are systematically aligned with each other, it may give more evidence for the existence of Planet X (Planet Nine), or at least help astronomers know where to search for it.

"Another possibility is that Planet X (Planet Nine) does not exist at all. Some researchers suggest the unusual orbit of those Kuiper Belt objects can be explained by their random distribution."

Thanks to long-time Slashdot reader Tablizer for sharing the news.

An anonymous reader shared this report from Digital Trends: A number of popular generative AI platforms are seeing consistent growth as users are figuring out how they want to use the tools - and ChatGPT is at the top of the list with the most visits, at 3.7 billion worldwide. So many people are visiting the AI chatbot, its figures are rivaling browser market share. It can only be compared to Google Chrome figures in terms of monthly users, which is estimated to be around 3.45 billion.

Statistics from [web analytics company] Similarweb indicate that ChatGPT saw a 17.2% month-over-month (MoM) growth and a 115.9% year-over-year (YoY) traffic growth... Google's Chrome browser has a solid market share of 35.4 billion users in 2024. It has seen minimal growth YoY but has grown 45.35% in the last 5 years, according to Statscounter.
The article notes ChatGPT saw a jump in traffic when it changed its dowmain from chat.openai.com to just chatgpt.com -- and that OpenAI recently purchased the domain Chat.com (though "there is no word on what the company plans to do...") Meanwhile, other AI tools continue to see traffic and growth, despite not being at the same level as ChatGPT. Despite recent plagiarism claims, the Perplexity chatbot has seen 90.8 million visits in October, a 25.5% MoM growth and 199.2% YoY growth. Google's Gemini Chatbot saw 291.6 million visits in October, a 6.2% MoM growth and 19% YoY growth after the company introduced a new ChromeOS update that brought new AI features to its Chromebooks. Anthropic's Claude chatbot has seen 84.1 million visits in October, a 25.5% MoM growth and 394.9% YoY growth, after recently rolling out a desktop application for Windows and macOS. Microsoft's web-based Copilot website saw 69.4 million visits in October, an 87.6% MoM growth.

Google is generally rolling out its Gemini AI-powered Vids app that lets you create video presentations using a prompt. From a report: Some of Vids' key features include letting Gemini auto-insert stock footage for you, generating a script, and making AI voiceovers so you don't have to speak. Google advertises that the tool can help turn customer support articles into videos, make training videos, share company announcements, create meeting recaps, and more. Vids will be available by default for Workspace organizations with access, but Google notes possible usage limits may apply to features like "Help me create" and AI voiceovers starting in 2026.

Longtime Slashdot reader AmiMoJo shares a report from The Verge: It's been two long years since the launch of Matter -- the one smart home standard designed to rule them all -- and there's been a fair amount of disappointment around a sometimes buggy rollout, slow adoption by companies like Apple, Amazon, and Google, and frustrating setup experiences. However, the launch of the Matter 1.4 specification this week shows some signs that the Connectivity Standards Alliance (CSA, the organization behind Matter) is using more sticks and fewer carrots to get the smart home industry coalition to cooperate.

The new spec introduces 'enhanced multi-admin,' an improvement on multi-admin -- the much-touted interoperability feature that means your Matter smart light can work in multiple ecosystems simultaneously. It brings a solution for making Thread border routers from different companies play nicely together and introduces a potentially easier way to add Matter infrastructure to homes through Wi-Fi routers and access points. Matter 1.4 also brings some big updates to energy management support, including adding heat pumps, home batteries, and solar panels as Matter device types.