An anonymous reader quotes a report from Ars Technica: A few months ago, Anthropic quietly hired its first dedicated "AI welfare" researcher, Kyle Fish, to explore whether future AI models might deserve moral consideration and protection, reports AI newsletter Transformer. While sentience in AI models is an extremely controversial and contentious topic, the hire could signal a shift toward AI companies examining ethical questions about the consciousness and rights of AI systems. Fish joined Anthropic's alignment science team in September to develop guidelines for how Anthropic and other companies should approach the issue. The news follows a major report co-authored by Fish before he landed his Anthropic role. Titled "Taking AI Welfare Seriously," the paper warns that AI models could soon develop consciousness or agency -- traits that some might consider requirements for moral consideration. But the authors do not say that AI consciousness is a guaranteed future development. "To be clear, our argument in this report is not that AI systems definitely are -- or will be -- conscious, robustly agentic, or otherwise morally significant," the paper reads. "Instead, our argument is that there is substantial uncertainty about these possibilities, and so we need to improve our understanding of AI welfare and our ability to make wise decisions about this issue. Otherwise there is a significant risk that we will mishandle decisions about AI welfare, mistakenly harming AI systems that matter morally and/or mistakenly caring for AI systems that do not." The paper outlines three steps that AI companies or other industry players can take to address these concerns. Companies should acknowledge AI welfare as an "important and difficult issue" while ensuring their AI models reflect this in their outputs. The authors also recommend companies begin evaluating AI systems for signs of consciousness and "robust agency." Finally, they call for the development of policies and procedures to treat AI systems with "an appropriate level of moral concern." The researchers propose that companies could adapt the "marker method" that some researchers use to assess consciousness in animals -- looking for specific indicators that may correlate with consciousness, although these markers are still speculative. The authors emphasize that no single feature would definitively prove consciousness, but they claim that examining multiple indicators may help companies make probabilistic assessments about whether their AI systems might require moral consideration. While the researchers behind "Taking AI Welfare Seriously" worry that companies might create and mistreat conscious AI systems on a massive scale, they also caution that companies could waste resources protecting AI systems that don't actually need moral consideration. "One problem with the concept of AI welfare stems from a simple question: How can we determine if an AI model is truly suffering or is even sentient?" writes Ars' Benj Edwards. "As mentioned above, the authors of the paper take stabs at the definition based on 'markers' proposed by biological researchers, but it's difficult to scientifically quantify a subjective experience." Fish told Transformer: "We don't have clear, settled takes about the core philosophical questions, or any of these practical questions. But I think this could be possibly of great importance down the line, and so we're trying to make some initial progress."

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The Biden administration plans to support a controversial cybercrime treaty at the United Nations this week despite concerns that it could be misused by authoritarian regimes, Bloomberg News reported Monday, citing senior government officials. From the report: The agreement would be the first legally binding UN agreement on cybersecurity and could become a global legal framework for countries to cooperate on preventing and investigating cybercriminals. However, critics fear it could be used by authoritarian states to try to pursue dissidents overseas or collect data from political opponents. Still, the officials said there are persuasive reasons to support the treaty. For instance, it would advance the criminalization of child sexual-abuse material and nonconsensual spreading of intimate images, they said. In addition, the wider involvement of member states would make cybercrime and electronic evidence more available to the US, one official said. If all the members sign the agreement, it would update extradition treaties and provide more opportunities to apprehend cybercriminals and have them extradited, the official added. Hundreds of submissions from advocacy groups and other parties criticized US involvement in the agreement. The US plans to strictly enforce human rights and other safeguards in the treaty, the officials said, adding that the Department of Justice would closely scrutinize requests and refuse to provide any assistance that was inconsistent with the agreement.

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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.

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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.

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A University of Zagreb virologist treated her own recurring breast cancer by injecting laboratory-grown viruses into her tumor, sparking debate about self-experimentation in medical research. Beata Halassy discovered her stage 3 breast cancer in 2020 at age 49, recurring at the site of a previous mastectomy. Rather than undergo another round of chemotherapy, she developed an experimental treatment using oncolytic virotherapy (OVT). Over two months, Halassy administered measles and vesicular stomatitis viruses directly into the tumor. The treatment caused the tumor to shrink and detach from surrounding tissue before surgical removal. Post-surgery analysis showed immune cell infiltration, suggesting the viruses had triggered an immune response against the cancer. Halassy has been cancer-free for four years. OVT remains unapproved for breast cancer treatment worldwide. Nature adds: Halassy felt a responsibility to publish her findings. But she received more than a dozen rejections from journals -- mainly, she says, because the paper, co-authored with colleagues, involved self-experimentation. "The major concern was always ethical issues," says Halassy. She was particularly determined to persevere after she came across a review highlighting the value of self-experimentation. That journals had concerns doesn't surprise Jacob Sherkow, a law and medicine researcher at the University of Illinois Urbana-Champaign who has examined the ethics of researcher self-experimentation in relation to COVID-19 vaccines. The problem is not that Halassy used self-experimentation as such, but that publishing her results could encourage others to reject conventional treatment and try something similar, says Sherkow. People with cancer can be particularly susceptible to trying unproven treatments. Yet, he notes, it's also important to ensure that the knowledge that comes from self-experimentation isn't lost. The paper emphasizes that self-medicating with cancer-fighting viruses "should not be the first approach" in the case of a cancer diagnosis.

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Cryptocurrency backers continue to bid up Bitcoin prices, pushing the digital token to a new high of about $84,000 on Monday. The New York Times: The cryptocurrency has surged since Election Day, on investor hopes that President-elect Donald J. Trump and his appointees would be friendlier to the industry after the Biden administration's aggressive enforcement of securities law that targeted several crypto companies. Cryptocurrencies have become a major component of the so-called Trump trade. Bitcoin exchange-traded funds, which got the regulatory green light to trade this year, have been booming over the past week. Crypto-related companies have also jumped in value: Riot Platforms, a Bitcoin miner, is up 68 percent since Election Day and Coinbase, a crypto exchange, is up 69 percent over the same period.

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Most companies are starting to figure out how AI will change the way they do business. Chegg is trying to avoid becoming its first major victim. WSJ: The online education company was for many years the go-to source for students who wanted help with their homework, or a potential tool for plagiarism. The shift to virtual learning during the pandemic sent subscriptions and its stock price to record highs. Then came ChatGPT. Suddenly students had a free alternative to the answers Chegg spent years developing with thousands of contractors in India. Instead of "Chegging" the solution, they began canceling their subscriptions and plugging questions into chatbots. Since ChatGPT's launch, Chegg has lost more than half a million subscribers who pay up to $19.95 a month for prewritten answers to textbook questions and on-demand help from experts. Its stock is down 99% from early 2021, erasing some $14.5 billion of market value. Bond traders have doubts the company will continue bringing in enough cash to pay its debts.

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The year 2024 is on track to be the warmest year on record after an extended streak of exceptionally high monthly global mean temperatures, the World Meteorological Organisation (WMO) has announced.

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AI companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-large language models by developing training techniques that use more human-like ways for algorithms to "think." From a report: A dozenAI scientists, researchers and investors told Reuters they believe that these techniques, which are behind OpenAI's recently released o1 model, could reshape the AI arms race, and have implications for the types of resources that AI companies have an insatiable demand for, from energy to types of chips. After the release of the viral ChatGPT chatbot two years ago, technology companies, whose valuations have benefited greatly from the AI boom, have publicly maintained that "scaling up" current models through adding more data and computing power will consistently lead to improved AI models. But now, some of the most prominent AI scientists are speaking out on the limitations of this "bigger is better" philosophy. Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that results from scaling up pre-training -- the phase of training an AI model that uses a vast amount of unlabeled data to understand language patterns and structures -- have plateaued. Sutskever is widely credited as an early advocate of achieving massive leaps in generative AI advancement through t he use of more data and computing power in pre-training, which eventually created ChatGPT. Sutskever left OpenAI earlier this year to found SSI. The Information, reporting over the weekend that Orion, OpenAI's newest model, isn't drastically better than its previous model nor is it better at many tasks: The Orion situation could test a core assumption of the AI field, known as scaling laws: that LLMs would continue to improve at the same pace as long as they had more data to learn from and additional computing power to facilitate that training process. In response to the recent challenge to training-based scaling laws posed by slowing GPT improvements, the industry appears to be shifting its effort to improving models after their initial training, potentially yielding a different type of scaling law. Some CEOs, including Meta Platforms' Mark Zuckerberg, have said that in a worst-case scenario, there would still be a lot of room to build consumer and enterprise products on top of the current technology even if it doesn't improve.

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A new article at Reason.com argues that U.S. courts "are coming for digital libraries." In September, a federal appeals court dealt a major blow to the Internet Archive — one of the largest online repositories of free books, media, and software — in a copyright case with significant implications for publishers, libraries, and readers. The U.S. Court of Appeals for the 2nd Circuit upheld a lower court ruling that found the Internet Archive's huge, digitized lending library of copyrighted books was not covered by the "fair use" doctrine and infringed on the rights of publishers. Agreeing with the Archive's interpretation of fair use "would significantly narrow — if not entirely eviscerate — copyright owners' exclusive right to prepare derivative works," the 2nd Circuit ruled. "Were we to approve [Internet Archive's] use of the works, there would be little reason for consumers or libraries to pay publishers for content they could access for free." Others disagree, according to some links shared in a recent email from the Internet Archive. Public Knowledge CEO Chris Lewis argues the court's logic renders the fair use doctrine "almost unusuable". And that's just the beginning... This decision harms libraries. It locks them into an e-book ecosystem designed to extract as much money as possible while harvesting (and reselling) reader data en masse. It leaves local communities' reading habits at the mercy of curatorial decisions made by four dominant publishing companies thousands of miles away. It steers Americans away from one of the few remaining bastions of privacy protection and funnels them into a surveillance ecosystem that, like Big Tech, becomes more dangerous with each passing data breach. But lawyer/librarian Kyle K. Courtney writes that the case "is specific only to the parties, and does not impact the other existing versions of controlled digital lending." Additionally, this decision is limited to the 2nd Circuit and is not binding anywhere else — in other words, it does not apply to the 47 states outside the 2nd Circuit's jurisdiction. In talking with colleagues in the U.S. this week and last, many are continuing their programs because they believe their digital loaning programs fall outside the scope of this ruling... Moreover, the court's opinion focuses on digital books that the court said "are commercially available for sale or license in any electronic text format." Therefore, there remains a significant number of materials in library collections that have not made the jump to digital, nor are likely to, meaning that there is no ebook market to harm — nor is one likely to emerge for certain works, such as those that are no longer commercially viable... This case represents just one instance in an ongoing conversation about library lending in the digital age, and the possibility of appeal to the U.S. Supreme Court means the final outcome is far from settled. Some more quotes from links shared by Internet Archive: "It was clear that the only reason all the big publishers sued the Internet Archive was to put another nail in the coffin of libraries and push to keep this ebook licensing scheme grift going. Now the courts have helped." — TechDirt "The case against the Internet Archive is not just a story about the ruination of an online library, but a grander narrative of our times: how money facilitates the transference of knowledge away from the public, back towards the few." — blogger Hannah Williams Thanks to Slashdot reader fjo3 for sharing the news.

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On its 20th anniversary, Firefox "is still going strong, and it is a better browser today than it ever was," according to TechCrunch. In an interview, Mozilla's interim CEO says one of the first things they did when was to "unlock a bunch of money towards Firefox product development... I've been in enough places where people tend to forget about the core business, and they stop investing in it, because they get distracted by shiny things — and then they regret it." "Firefox is incredibly important, and it is our core. We've actually put more investment into it this year and into connecting with our communities, into bringing out and testing features that are positive and creating good experiences for folks. That's been a huge priority for me and for the company this year, and it's showing up in the results." She acknowledged that Mozilla doesn't have the device distribution that benefits many of Firefox's competitors, especially on mobile, but she did note that the Digital Marks Act (DMA) in Europe — which means Apple, for example, has to provide a browser choice screen on iOS — is working. "With the DMA, even though the implementation hasn't been outstanding, we're seeing a real shift. When people have the choice to choose Firefox, they're choosing Firefox," she said... To kick-start some of this growth, Mozilla is looking at reaching new, and younger, users. Chambers noted that Mozilla is running a number of marketing campaigns to make people aware of Firefox, especially those who are only now starting to make their first browser choices. With them, she believes, Mozilla's messaging around privacy lands especially well. In a future where browsers include AI agents that take actions on behalf of users, there might be more confidence in a browser designed for privacy and transparency, the interim CEO points out — as part of their larger mission. "What I love about Firefox is that it really provides users with an alternative choice of a browser that is just genuinely designed for them. "We have, from its very inception and throughout, really wanted to create a browser that prioritizes people over profit, prioritizes privacy over anything else, and to have that option, the choice."

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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."

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Wednesday Cuba was hit by a major hurricane which took down its entire power grid again, this time for about 24 hours, according to CNN: Videos of the aftermath showed power infrastructure turned into a mangled mess and power poles down on streets. Hundreds of technicians were mobilized Thursday to reestablish power connections, according to state media... Operations at two electrical plants were partially restored and parts of eastern and central Cuba had electricity back up by Thursday afternoon, state media reported... The country's power grid has collapsed multiple times, including when Hurricane Oscar hit in October and killed at least 7 people. In the capital of Havana, where 2 million people live, power had been restored to less than 20% of the city by late Friday afternoon, . "Authorities had not yet given an estimate for when power would be fully restored..." Then tonight, CNN reported: A 6.8 magnitude earthquake struck off the coast of eastern Cuba on Sunday, causing material damage in several regions as the island continues to recover from widespread blackouts and the impact of two hurricanes over the past few weeks. The earthquake was reported about 39 km (24 miles) south of Bartolomé Masó before noon local time, about an hour after a 5.9 magnitude quake rocked the area, the United States Geological Survey (USGS) said. "There have been landslides, damage to homes and power lines," Cuban President Miguel Díaz-Canel said, adding that authorities are evaluating the situation to start recovery efforts.

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When a volcano erupted in 1980 about 70 miles from Portland, "lava incinerated anything living for miles around," remembers an announcement from the University of California at Riverside. But "As an experiment, scientists later dropped gophers onto parts of the scorched mountain for only 24 hours. "The benefits from that single day were undeniable — and still visible 40 years later." Once the blistering blast of ash and debris cooled, scientists theorized that, by digging up beneficial bacteria and fungi, gophers might be able to help regenerate lost plant and animal life on the mountain. Two years after the eruption, they tested this theory. "They're often considered pests, but we thought they would take old soil, move it to the surface, and that would be where recovery would occur," said UC Riverside microbiologist Michael Allen. They were right. But the scientists did not expect the benefits of this experiment would still be visible in the soil today, in 2024. A paper out this week in the journal Frontiers in Microbiomes details an enduring change in the communities of fungi and bacteria where gophers had been, versus nearby land where they were never introduced. "In the 1980s, we were just testing the short-term reaction," said Allen. "Who would have predicted you could toss a gopher in for a day and see a residual effect 40 years later?" In 1983, Allen and Utah State University's James McMahon helicoptered to an area where the lava had turned the land into collapsing slabs of porous pumice. At that time, there were only about a dozen plants that had learned to live on these slabs. A few seeds had been dropped by birds, but the resulting seedlings struggled. After scientists dropped a few local gophers on two pumice plots for a day, the land exploded again with new life. Six years post-experiment, there were 40,000 plants thriving on the gopher plots. The untouched land remained mostly barren. All this was possible because of what isn't always visible to the naked eye. Mycorrhizal fungi penetrate into plant root cells to exchange nutrients and resources. They can help protect plants from pathogens in the soil, and critically, by providing nutrients in barren places, they help plants establish themselves and survive. Mycorrhizal fungi also helped an old-growth forest survive, accoridng to the researchers — even after volcano ash had caused them to drop their needles...

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When a volcano erupted in 1980 about 70 miles from Portland, "lava incinerated anything living for miles around," remembers an announcement from the University of California at Riverside. But "As an experiment, scientists later dropped gophers onto parts of the scorched mountain for only 24 hours. "The benefits from that single day were undeniable — and still visible 40 years later." Once the blistering blast of ash and debris cooled, scientists theorized that, by digging up beneficial bacteria and fungi, gophers might be able to help regenerate lost plant and animal life on the mountain. Two years after the eruption, they tested this theory. "They're often considered pests, but we thought they would take old soil, move it to the surface, and that would be where recovery would occur," said UC Riverside microbiologist Michael Allen. They were right. But the scientists did not expect the benefits of this experiment would still be visible in the soil today, in 2024. A paper out this week in the journal Frontiers in Microbiomes details an enduring change in the communities of fungi and bacteria where gophers had been, versus nearby land where they were never introduced. "In the 1980s, we were just testing the short-term reaction," said Allen. "Who would have predicted you could toss a gopher in for a day and see a residual effect 40 years later?" In 1983, Allen and Utah State University's James McMahon helicoptered to an area where the lava had turned the land into collapsing slabs of porous pumice. At that time, there were only about a dozen plants that had learned to live on these slabs. A few seeds had been dropped by birds, but the resulting seedlings struggled. After scientists dropped a few local gophers on two pumice plots for a day, the land exploded again with new life. Six years post-experiment, there were 40,000 plants thriving on the gopher plots. The untouched land remained mostly barren. All this was possible because of what isn't always visible to the naked eye. Mycorrhizal fungi penetrate into plant root cells to exchange nutrients and resources. They can help protect plants from pathogens in the soil, and critically, by providing nutrients in barren places, they help plants establish themselves and survive. Mycorrhizal fungi also helped an old-growth forest survive, accoridng to the researchers — even after volcano ash had caused them to drop their needles...

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Long-time Slashdot reader Geoffrey.landis writes: Despite its impressive output, a recent study from MIT suggests generative AI doesn't have a coherent understanding of the world. While the best-performing large language models have surprising capabilities that make it seem like the models are implicitly learning some general truths about the world, that isn't necessarily the case. The recent paper showed that Large Language Models and game-playing AI implicitly model the world, but the models are flawed and incomplete. An example study showed that a popular type of generative AI model accurately provided turn-by-turn driving directions in New York City, without having formed an accurate internal map of the city. Though the model can still navigate effectively, when the researchers closed some streets and added detours, its performance plummeted. And when they dug deeper, the researchers found that the New York maps the model implicitly generated had many nonexistent streets curving between the grid and connecting far away intersections.

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Long-time Slashdot reader DesScorp writes: The Washingtonian magazine reports that yet another company is ending most remote work for its employees. The Post's previous policy from 2022 until now had been 3 days in office, 2 days remote. The employee union for the paper, the Washington Post Guild, will oppose the mandate. The union sent members a defiant email, according to the article. "Guild leadership sees this for what it is: a change that stands to further disrupt our work than to improve our productivity or collaboration." Managers will have to return beginning February 3, 2025, and all other employees will be expected in the office beginning June 2 [according to a memo from publisher Will Lewis]. "I want that great office energy for us every day," Lewis writes. "I am reliably informed that is how it used to be here before Covid, and it's important we get this back."

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"Java application security would be enhanced through two proposals aimed at resisting quantum computing attacks," reports InfoWorld, "one plan involving digital signatures and the other key encapsulation." The two proposals reside in the OpenJDK JEP (JDK Enhancement Proposal) index. The Quantum-Resistant Module-Lattice-Based Digital Signature Algorithm proposal calls for enhancing the security of Java applications by providing an implementation of the quantum-resistant module-latticed-based digital signature algorithm (ML-DSA). ML-DSA would secure against future quantum computing attacks by using digital signatures to detect unauthorized modifications to data and to authenticate the identity of signatories. ML-DSA was standardized by the United States National Institute of Standards and Technology (NIST) in FIPS 204. The Quantum-Resistant Module-Lattice-Based Key Encapsulation Mechanism proposal calls for enhancing application security by providing an implementation of the quantum-resistant module-lattice-based key encapsulation mechanism (ML-KEM). KEMs are used to secure symmetric keys over insecure communication channels using public key cryptography. ML-KEM is designed to be secure against future quantum computing attacks and was standardized by NIST in FIPS 203.

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Slashdot reader sciencehabit shared this report from Science magazine: Elephants love showering to cool off, and most do so by sucking water into their trunks and spitting it over their bodies. But an elderly pachyderm named Mary has perfected the technique by using a hose as a showerhead, much in the way humans do. The behavior is a remarkable example of sophisticated tool use in the animal kingdom. But the story doesn't end there. Mary's long, luxurious baths have drawn so much attention that an envious elephant at the Berlin Zoo has figured out how to shut the water off on her supersoaking rival—a type of sabotage rarely seen among animals. Both behaviors, reported today in Current Biology, further cement elephants as complex thinkers, says Lucy Bates, a behavioral ecologist at the University of Portsmouth not involved in the study. The work, she says, 'suggests problem solving or even 'insight.''

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Salesforce "plans to hire more than 1,000 workers to sell its new generative AI agent product," reports Bloomberg: The hiring surge is aimed at capitalizing on "amazing momentum" for the new artificial intelligence product, Chief Executive Marc Benioff said in a message. "Agentforce became available just two weeks ago and we're already hearing incredible feedback from our customers." The top seller of customer relations management software, Salesforce pivoted its AI strategy this year to focus on agents — tools that can complete tasks such as customer support or sales development without human supervision. It launched the product, dubbed Agentforce, last month, with initial pricing of about $2 per agent conversation.

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