An anonymous reader quotes a report from the Guardian: The journal Regulatory Toxicology and Pharmacology has formally retracted a sweeping scientific paper published in 2000 that became a key defense for Monsanto's claim that Roundup herbicide and its active ingredient glyphosate don't cause cancer. Martin van den Berg, the journal's editor in chief, said in a note accompanying the retraction that he had taken the step because of "serious ethical concerns regarding the independence and accountability of the authors of this article and the academic integrity of the carcinogenicity studies presented."

The paper, titled Safety Evaluation and Risk Assessment of the Herbicide Roundup and Its Active Ingredient, Glyphosate, for Humans, concluded that Monsanto's glyphosate-based weed killers posed no health risks to humans -- no cancer risks, no reproductive risks, no adverse effects on development of endocrine systems in people or animals. Regulators around the world have cited the paper as evidence of the safety of glyphosate herbicides, including the Environmental Protection Agency (EPA) in this assessment (PDF). [...]

In explaining the decision to retract the 25-year-old research paper, Van den Berg wrote: "Concerns were raised regarding the authorship of this paper, validity of the research findings in the context of misrepresentation of the contributions by the authors and the study sponsor and potential conflicts of interest of the authors." He noted that the paper's conclusions regarding the carcinogenicity of glyphosate were solely based on unpublished studies from Monsanto, ignoring other outside, published research. "The retraction of this study is a long time coming," said Brent Wisner, one of the lead lawyers in the Roundup litigation and a key player in getting the internal documents revealed to the public. Wisner said the study was the "quintessential example of how companies like Monsanto could fundamentally undermine the peer-review process through ghostwriting, cherrypicking unpublished studies, and biased interpretations."

"This garbage ghostwritten study finally got the fate it deserved,â Wisner added. "Hopefully, journals will now be more vigilant in protecting the impartiality of science on which so many people depend."

Researchers and moderators are increasingly concerned that ChatGPT-style language is bleeding into everyday speech and writing. The topic has been explored in the past but "two new, more anecdotal reports, suggest that our chatbot dialect isn't just something that can be found through close analysis of data," reports Gizmodo. "It might be an obvious, every day fact of life now." Slashdot reader joshuark shares an excerpt from the report: Over on Reddit, according to a new Wired story by Kat Tenbarge, moderators of certain subreddits are complaining about AI posts ruining their online communities. It's not new to observe that AI-armed spammers post low-value engagement bait on social media, but these are spaces like r/AmItheAsshole, r/AmIOverreacting, and r/AmITheDevil, where visitors crave the scintillation or outright titillation of bona fide human misbehavior. If, behind the scenes, there's not really a grieving college student having her tuition cut off for randomly flying off the handle at her stepmom, there's no real fun to be had. The mods in the Wired story explain how they detect AI content, and unfortunately their methods boil down to "It's vibes." But one novel struggle in the war against slop, the mods say, is that not only are human-written posts sometimes rewritten by AI, but mods are concerned that humans are now writing like AI. Humans are becoming flesh and blood AI-text generators, muddying the waters of AI "detection" to the point of total opacity.

As "Cassie" an r/AmItheAsshole moderator who only gave Wired her first name put it, "AI is trained off people, and people copy what they see other people doing." In other words, Cassie said, "People become more like AI, and AI becomes more like people." Meanwhile, essayist Sam Kriss just explored the weird way chatbots "write" for the latest issue of the New York Times Magazine, and he discovered along the way that humans have accidentally taken cues from that weirdness. After parsing chatbots' strange tics and tendencies -- such as overusing the word "delve" most likely because it's in a disproportional number of texts from Nigeria, where that word is popular -- Kriss refers to a previously reported trend from over the summer. Members of the U.K. Parliament were accused of using ChatGPT to write their speeches.

The thinking goes that ChatGPT-written speeches contained the phrase "I rise to speak," an American phrase, used by American legislators. But Kriss notes that it's not just showing up from time to time. It's being used with downright breathtaking frequency. "On a single day this June, it happened 26 times," he notes. While 26 different MPs using ChatGPT to write speeches is not some scientific impossibility, it's more likely an example of chatbots, "smuggling cultural practices into places they don't belong," to quote Kriss again. So when Kriss points out that when Starbucks locations were closing in September, and signs posted on the doors contained tortured sentences like, "It's your coffeehouse, a place woven into your daily rhythm, where memories were made, and where meaningful connections with our partners grew over the years," one can't state with certainty that this is AI-generated text (although let's be honest: it probably is).

Anthropic is bringing Claude Code directly into Slack, letting developers spin up coding sessions from chat threads and automate workflows without leaving the app. TechCrunch reports: Previously, developers could only get lightweight coding help via Claude in Slack -- like writing snippets, debugging, and explanations. Now they can tag @Claude to spin up a complete coding session using Slack context like bug reports or feature requests. Claude analyzes recent messages to determine the right repository, posts progress updates in threads, and shares links to review work and open pull requests.

The move reflects a broader industry shift: AI coding assistants are migrating from IDEs (integrated development environment, where software development happens) into collaboration tools where teams already work. [...] While Anthropic has not yet confirmed when it would make a broader rollout available, the timing is strategic. The AI coding market is getting more competitive, and differentiation is starting to depend more on integration depth and distribution than model capability alone.

An anonymous reader quotes a report from the New York Times: Since online genealogy services began operating, millions of people have sent them saliva samples in hopes of learning about their family roots and discovering far-flung relatives. These services also appeal to law enforcement authorities, who have used them to solve cold case murders and to investigate crimes like the 2022 killing of four University of Idaho students. Crime-scene DNA submitted to genealogy sites has helped investigators identify suspects and human remains by first identifying relatives.

The use of public records and family-tree building is crucial to this technique, and its main tool has been the genealogy site Ancestry, which has vast amounts of individual DNA profiles and public records. More than 1,400 cases have been solved with the help of so-called genetic genealogy investigations, most of them with help from Ancestry. But a recent step taken by the site is now deterring many police agencies from employing this crime-solving technique.

In August, Ancestry revised the terms and conditions on its site to make it clear that its services were off-limits "for law enforcement purposes" without a legal order or warrant, which can be hard to get, because of privacy concerns. This followed the addition last year to the terms and conditions that the services could not be used for "judicial proceedings." Investigators say the implications are dire and will result in crucial criminal cases slowing or stalling entirely, denying answers to grieving families. "Everyone who does this work has depended on the records database that Ancestry controls," said David Gurney, who runs Ramapo College's Investigative Genetic Genealogy Center in New Jersey. "Without it, casework is going to be a lot slower, and there will be some cases that can't be resolved at all."

Europol's GRIMM taskforce has arrested nearly 200 people accused of running or participating in "violence-as-a-service" schemes where cybercrime groups recruit youth online for real-world attacks. "These individuals are groomed or coerced into committing a range of violent crimes, from acts of intimidation and torture to murder," the European police said on Monday. The Register reports: GRIMM began in April, and includes investigators from Belgium, Denmark, Finland, France, Germany, Iceland, the Netherlands, Norway, Spain, Sweden, the UK, plus Europol experts and online service providers. During its first six months, police involved in this operation arrested 63 people directly involved in carrying out or planning violent crimes, 40 "enablers" accused of facilitating violence-for-hire services, 84 recruiters, and six "instigators," five of whom the cops labeled "high-value targets." [...]

Many of the criminals involved in recruiting and carrying out these violence-for-hire services are also members of The Com. This is a loosely knit gang, primarily English speakers, involved in several interconnected networks of hackers, SIM swappers, and extortionists. Their reach has spread across the Atlantic, and over the summer, the FBI warned that a subset of this cybercrime group, called In Real Life (IRL) Com, poses a growing threat to youth. The FBI's security bulletin specifically called out IRL Com subgroups that offer swat-for-hire services, in which hoaxers falsely report shootings at someone's residence or call in bomb threats to trigger massive armed police responses at the victims' homes.

An anonymous reader quotes a report from the Guardian: A coalition of more than 230 environmental groups has demanded a national moratorium on new datacenters in the U.S., the latest salvo in a growing backlash to a booming artificial intelligence industry that has been blamed for escalating electricity bills and worsening the climate crisis. The green groups, including Greenpeace, Friends of the Earth, Food & Water Watch and dozens of local organizations, have urged members of Congress to halt the proliferation of energy-hungry datacenters, accusing them of causing planet-heating emissions, sucking up vast amounts of water and exacerbating electricity bill increases that have hit Americans this year.

"The rapid, largely unregulated rise of datacenters to fuel the AI and crypto frenzy is disrupting communities across the country and threatening Americans' economic, environmental, climate and water security," the letter states, adding that approval of new data centers should be paused until new regulations are put in place. The push comes amid a growing revolt against moves by companies such as Meta, Google and Open AI to plow hundreds of billions of dollars into new datacenters, primarily to meet the huge computing demands of AI. At least 16 datacenter projects, worth a combined $64 billion, have been blocked or delayed due to local opposition to rising electricity costs. The facilities' need for huge amounts of water to cool down equipment has also proved controversial, particularly in drier areas where supplies are scarce. [...]

At the current rate of growth, datacenters could add up to 44m tons of carbon dioxide to the atmosphere by 2030, equivalent to putting an extra 10m cars on to the road and exacerbating a climate crisis that is already spurring extreme weather disasters and ripping apart the fabric of the American insurance market. But it is the impact upon power bills, rather than the climate crisis, that is causing anguish for most voters, acknowledged Emily Wurth, managing director of organizing at Food & Water Watch, the group behind the letter to lawmakers. "I've been amazed by the groundswell of grassroots, bipartisan opposition to this, in all types of communities across the US," said Wurth. "Everyone is affected by this, the opposition has been across the political spectrum. A lot of people don't see the benefits coming from AI and feel they will be paying for it with their energy bills and water."

"It's an important talking point. We've seen outrageous utility price rises across the country and we are going to lean into this. Prices are going up across the board and this is something Americans really do care about."

Longtime Slashdot reader hackingbear writes: Taiwan's government has ordered a one-year block of a popular, mainland Chinese-owned social media app Xiaohongshu, also known as The Little RedNote, citing its failure to cooperate with authorities over fraud-related concerns. Taiwan's Ministry of the Interior on Thursday cited Xiaohongshu's, which does not have business presence on the island, refusal to cooperate with authorities as the basis for the ban, claiming that the platform has been linked to more than 1,700 fraud-related cases that resulted in financial losses of 247.7 million Taiwanese dollars ($7.9 million). "Due to the inability to obtain necessary data in accordance with the law, law enforcement authorities have encountered significant obstacles in investigations, creating a de facto legal vacuum," the ministry said in a statement.

Chinese Nationalist Party (KMT), Taiwan's opposition party, Chairwoman Cheng Li-wun decried the government plan to suspend access to Chinese social media platform Xiaohongshu for one year as censorship. "Many people online are already asking 'How to climb over the firewall to access Xiaohongshu,'" Cheng posted on social media. Meta was facing fines earlier this year for failing to disclose information on individuals who funded advertisements on its social media platforms, marking the second such penalty in Taiwan for violating the anti-fraud act. "Meta failed to fully disclose information regarding who paid for the advertisement and who benefited from it," Depute Minister Lin of Ministry of Digital Affairs said at a news conference on June 18.

If MODA decides to impose the fine, it would mark the second such penalty against Meta in Taiwan, following a NT$1 million ($33,381) fine issued in May for violating the Fraud Crime Hazard Prevention Act by failing to disclose information on individuals who commissioned and funded two Facebook advertisements. Meta's Threads were also included in the regulatory framework following nearly 1,900 fraud-related reports associated with the platform, with 718 confirmed as scams. Xiaohongshu has surged in popularity among young Taiwanese in recent years, amassing 3 million users in the island of 23 million.

IBM is buying Confluent for $11 billion in a major push to own real-time data streaming infrastructure essential for enterprise AI workloads. It marks Big Blue's biggest acquisition since Red Hat in 2019. Bloomberg reports: The AI boom has touched off billions of dollars in deals for businesses that build, train or leverage the technology, propelling the value of an entire ecosystem of data center developers, software makers, generative AI tool developers and data management firms. Mountain View, California-based Confluent sits in the data corner of that world, providing a platform for companies to gather -- or "stream" -- and analyze data in real time as opposed to shipping data in clunkier batches.

Manufacturers such as Michelin, for example, have used Confluent's platform to optimize their inventories of raw and semi-finished materials live. Instacart adopted Confluent to develop real-time fraud detection systems and gain more visibility into the availability of products sold on its grocery delivery platform. Businesses are increasingly tapping AI systems that manage tasks like this in real-time and require live flows of data to do so. IBM, which pioneered mainframe computers, has been trying to reposition its business around AI over the past few years. Under Chief Executive Officer Arvind Krishna, it's been buying software companies and selling generative AI-related services to enterprise clients. Software now makes up almost half its total revenue and continues to grow at a steady rate.