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Two investment advisors have reached settlements with the US Securities and Exchange Commission for allegedly exaggerating their use of AI, which in both cases were purported to be cornerstones of their offerings. From a report: Canada-based Delphia and San Francisco-headquartered Global Predictions will cough up $225,000 and $175,000 respectively for telling clients that their products used AI to improve forecasts. The financial watchdog said both were engaging in "AI washing," a term used to describe the embellishment of machine-learning capabilities. "We've seen time and again that when new technologies come along, they can create buzz from investors as well as false claims by those purporting to use those new technologies," said SEC chairman Gary Gensler. "Delphia and Global Predictions marketed to their clients and prospective clients that they were using AI in certain ways when, in fact, they were not." Delphia claimed its system utilized AI and machine learning to incorporate client data, a statement the SEC said it found to be false. "Delphia represented that it used artificial intelligence and machine learning to analyze its retail clients' spending and social media data to inform its investment advice when, in fact, no such data was being used in its investment process," the SEC said in a settlement order. Despite being warned about suspected misleading practices in 2021 and agreeing to amend them, Delphia only partially complied, according to the SEC. The company continued to market itself as using client data as AI inputs but never did anything of the sort, the regulator said.

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An anonymous reader shares a report: The Apex Legends Global Series is currently in regional finals mode, but the North America finals have been delayed after two players were hacked mid-match. First, Noyan "Genburten" Ozkose of DarkZero suddenly found himself able to see other players through walls, then Phillip "ImperialHal" Dosen of TSM was given an aimbot. Genburten's hack happened part of the way through the day's third match. A Twitch clip of the moment shows the words "Apex hacking global series by Destroyer2009 & R4ndom" repeating over chat as he realizes he's been given a cheat and takes his hands off the controls. "I can see everyone!" he says, before leaving the match. ImperialHal was hacked in the game immediately after that. "I have aimbot right now!" he shouts in a clip of the moment, before declaring "I can't shoot." Though he continued attempting to play out the round, the match was later abandoned. The volunteers at the Anti-Cheat Police Department have since issued a PSA announcing, "There is currently an RCE exploit being abused in [Apex Legends]" and that it could be delivered via from the game itself, or its anti-cheat protection. "I would advise against playing any games protected by EAC or any EA titles", they went on to say. As for players of the tournament, they strongly recommended taking protective measures. "It is advisable that you change your Discord passwords and ensure that your emails are secure. also enable MFA for all your accounts if you have not done it yet", they said, "perform a clean OS reinstall as soon as possible. Do not take any chances with your personal information, your PC may have been exposed to a rootkit or other malicious software that could cause further damage." The rest of the series has now been postponed, "Due to the competitive integrity of this series being compromised," as the official Twitter account announced. They finished by saying, "We will share more information soon."

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Published scientific papers include language that appears to have been generated by AI-tools like ChatGPT, showing how pervasive the technology has become, and highlighting longstanding issues with some peer-reviewed journals. From a report: Searching for the phrase "As of my last knowledge update" on Google Scholar, a free search tool that indexes articles published in academic journals, returns 115 results. The phrase is often used by OpenAI's ChatGPT to indicate when the data the answer it is giving users is coming from, and the specific months and years found in these academic papers correspond to previous ChatGPT "knowledge updates." "As of my last knowledge update in September 2021, there is no widely accepted scientific correlation between quantum entanglement and longitudinal scalar waves," reads a paper titled "Quantum Entanglement: Examining its Nature and Implications" published in the "Journal of Material Sciences & Manfacturing [sic] Research," a publication that claims it's peer-reviewed. Over the weekend, a tweet showing the same AI-generated phrase appearing in several scientific papers went viral. Most of the scientific papers I looked at that included this phrase are small, not well known, and appear to be "paper mills," journals with low editorial standards that will publish almost anything quickly. One publication where I found the AI-generated phrase, the Open Access Research Journal of Engineering and Technology, advertises "low publication charges," an "e-certificate" of publication, and is currently advertising a call for papers, promising acceptance within 48 hours and publication within four days.

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Multinational technology giant Fujitsu confirmed a cyberattack in a statement Friday, and warned that hackers may have stolen personal data and customer information. From a report: "We confirmed the presence of malware on multiple work computers at our company, and as a result of an internal investigation, we discovered that files containing personal information and customer information could be illegally taken out," said Fujitsu in its statement on its website, translated from Japanese. Fujitsu said it disconnected the affected systems from its network, and is investigating how its network was compromised by malware and "whether information has been leaked." The tech conglomerate did not specify what kind of malware was used, or the nature of the cyberattack. Fujitsu also did not say what kind of personal information may have been stolen, or who the personal information pertains to -- such as its employees, corporate customers, or citizens whose governments use the company's technologies.

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Google researchers have developed a new AI system that can generate lifelike videos of people speaking, gesturing and moving -- from just a single still photo. From a report: The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation. Described in a research paper titled "VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis," (PDF) the AI model can take a photo of a person and an audio clip as input, and then output a video that matches the audio, showing the person speaking the words and making corresponding facial expressions, head movements and hand gestures. The videos are not perfect, with some artifacts, but represent a significant leap in the ability to animate still images. The researchers, led by Enric Corona at Google Research, leveraged a type of machine learning model called diffusion models to achieve the novel result. Diffusion models have recently shown remarkable performance at generating highly realistic images from text descriptions. By extending them into the video domain and training on a vast new dataset, the team was able to create an AI system that can bring photos to life in a highly convincing way. "In contrast to previous work, our method does not require training for each person, does not rely on face detection and cropping, generates the complete image (not just the face or the lips), and considers a broad spectrum of scenarios (e.g. visible torso or diverse subject identities) that are critical to correctly synthesize humans who communicate," the authors wrote.

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xAI has opened sourced its large language model Grok. From a report: The move, which Musk had previously proclaimed would happen this week, now enables any other entrepreneur, programmer, company, or individual to take Grok's weights -- the strength of connections between the model's artificial "neurons," or software modules that allow the model to make decisions and accept inputs and provide outputs in the form of text -- and other associated documentation and use a copy of the model for whatever theyâ(TM)d like, including for commercial applications. "We are releasing the base model weights and network architecture of Grok-1, our large language model," the company announced in a blog post. "Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI." Those interested can download the code for Grok on its Github page or via a torrent link. Parameters refers to the weights and biases that govern the model -- the more parameters, generally the more advanced, complex and performant the model is. At 314 billion parameters, Grok is well ahead of open source competitors such as Meta's Llama 2 (70 billion parameters) and Mistral 8x7B (12 billion parameters). Grok was open sourced under an Apache License 2.0, which enables commercial use, modifications, and distribution, though it cannot be trademarked and there is no liability or warranty that users receive with it. In addition, they must reproduce the original license and copyright notice, and state the changes they've made.

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Starting Monday, YouTube creators will be required to label when realistic-looking videos were made using artificial intelligence, part of a broader effort by the company to be transparent about content that could otherwise confuse or mislead users. From a report: When a user uploads a video to the site, they will see a checklist asking if their content makes a real person say or do something they didn't do, alters footage of a real place or event, or depicts a realistic-looking scene that didn't actually occur. The disclosure is meant to help prevent users from being confused by synthetic content amid a proliferation of new, consumer-facing generative AI tools that make it quick and easy to create compelling text, images, video and audio that can often be hard to distinguish from the real thing. Online safety experts have raised alarms that the proliferation of AI-generated content could confuse and mislead users across the internet, especially ahead of elections in the United States and elsewhere in 2024. YouTube creators will be required to identify when their videos contain AI-generated or otherwise manipulated content that appears realistic -- so that YouTube can attach a label for viewers -- and could face consequences if they repeatedly fail to add the disclosure.

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SofiaWW writes: Microsoft has announced that the next subscription-free version of its Office suite will launch later this year. A commercial preview of Office LTSC 2024 will be available from next month, with a full launch scheduled for later in the year. The Office Long-Term Servicing Channel is supported for five years, and it holds great appeal for the many businesses that are not keen on the idea of software subscriptions. There will also be a consumer-focused version of the suite, Office 2024, available via a traditional 'one-time purchase' model. Further reading: Microsoft Really Doesn't Want You To Buy Office 2019 (From 2019).

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It was discovered that fontforge, a font editor, is prone to shell command injection vulnerabilities when processing specially crafted files.

https://security-tracker.debian.org/tracker/DSA-5641-1

Last week 50 people were injured when a Boeing 787-9 Dreamliner experienced a sudden mid-air drop — raising concerns about the possibility of a new safety issue. But the Wall Street Journal offers a follow-up report. "A flight attendant hit a switch on the pilot's seat while serving a meal, leading a motorized feature to push the pilot into the controls and push down the plane's nose, according to U.S. industry officials briefed on preliminary evidence from an investigation." The switch, on the back of the chair, is usually covered and isn't supposed to be used when a pilot is in the seat. Boeing issued a memo late Thursday to operators of 787 jets recommending that they inspect the cockpit chairs for loose covers on the switches and instructing them how to turn off power to the pilot seat motor if needed. Boeing said it is considering updates to flight crew manuals. "Closing the spring-loaded seat back switch guard onto a loose/detached rocker switch cap can potentially jam the rocker switch, resulting in unintended seat movement," according to the memo, which was viewed by The Wall Street Journal. The memo says this was a known issue and that Boeing had issued a related service notice in 2017.... American Airlines issued a notice to 787 captains advising them of the potential hazard. It asked them to instruct the crew not to use the switch while the chair is occupied and said that its maintenance teams would check that the switches are properly secured. Ipeco, the cockpit seat supplier, didn't respond to the Journal's request for a comment. But in a new CNN video, a pilot demonstrates the location of the button — and speculates that a seat pushing a pilot forward could abruptly override the plane's auto-pilot system. "It would be good news for Boeing if it is cleared of any fault in the Latam flight," adds another CNN report. "The company is facing multiple investigations by both the Federal Aviation Administration and the National Transportation Safety Board..." The Journal's article includes footage from inside the plane just moments after the incident and notes that some passengers had been "pinned to the ceiling as the airplane suddenly descended."

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The Guardian reports that this week "Bernie Sanders, the independent senator from Vermont who twice ran for the Democratic presidential nomination, introduced a bill to establish a four-day US working week." "Moving to a 32-hour workweek with no loss of pay is not a radical idea," Sanders said on Thursday. "Today, American workers are over 400% more productive than they were in the 1940s. And yet millions of Americans are working longer hours for lower wages than they were decades ago. "That has got to change. The financial gains from the major advancements in artificial intelligence, automation and new technology must benefit the working class, not just corporate chief executives and wealthy stockholders on Wall Street. "It is time to reduce the stress level in our country and allow Americans to enjoy a better quality of life. It is time for a 32-hour workweek with no loss in pay." The proposed bill "has received the endorsement of the American Federation of Labor and Congress of Industrial Organizations, United Auto Workers, the Service Employees International Union, the Association of Flight Attendants" — as well as several other labor unions, reports USA Today: More than half of adults employed full time reported working more than 40 hours per week, according to a 2019 Gallup poll. It is time to reduce the stress level in our country and allow Americans to enjoy a better quality of life," Sanders said... More than 70 British companies started to test a four-day workweek last year, and most respondents reported there has been no loss in productivity. A statement from Senator Sanders: Bill Gates, the founder of Microsoft, and Jamie Dimon, the CEO of JP Morgan Chase, predicted last year that advancements in technology would lead to a three or three-and-a-half-day workweek in the coming years. Despite these predictions, Americans now work more hours than the people of most other wealthy nations, but are earning less per week than they did 50 years ago, after adjusting for inflation. "Sanders also pointed to other countries that have reduced their workweeks, such as France, Norway and Denmark," adds NBC News. USA Today notes that "While Sanders' role as chair of the Senate Health, Education, Labor, and Pensions Committee places a greater focus on shortening the workweek, it is unlikely the bill will garner enough support from Republicans to become federal law and pass in both chambers." And political analysts who spoke to ABC News "cast doubt on the measure's chances of passage in a divided Congress where opposition from Republicans is all but certain," reports ABC News, "and even the extent of support among Democrats remains unclear."

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Israeli outlet Calcalist: Nvidia is in advanced negotiations to acquire AI infrastructure orchestration and management platform Run:ai, Calcalist has learned. The value of the deal is estimated at many hundreds of millions of dollars and could even reach $1 billion. The companies did not respond to Calcalist's request for comment. Run:ai raised $75 million in a Series C round in March 2022 led by Tiger Global Management and Insight Partners, who also led the previous Series B round. The round included the participation of additional existing investors, TLV Partners, and S Capital VC, bringing the total funding raised to date to $118 million.

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Apple is in talks to build Google's Gemini AI engine into the iPhone, Bloomberg News reported Monday, citing people familiar with the situation, setting the stage for a blockbuster agreement that would shake up the AI industry. From the report: The two companies are in active negotiations to let Apple license Gemini, Google's set of generative AI models, to power some new features coming to the iPhone software this year, said the people, who asked not to be identified because the deliberations are private. Apple also recently held discussions with OpenAI and has considered using its model, according to the people.

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Databricks CTO Matei Zaharia "said that Databricks had to keep track of scheduling a million things," remembers adjunct MIT professor Michael Stonebraker. " He said that this can't be done with traditional operating system scheduling, and so this was done out of a Postgres database. And then he started to whine that Postgres was too slow, and I told him we can do better than that...." This resulted in DBOS — short for "database operating system" — which they teamed up to build with teams Stanford and MIT, according to The Next Platform: They founded a company to commercialize the idea in April 2023 and secured $8.5 million initial seed funding to start building the real DBOS. Engine Ventures and Construct Capital led the funding, along with Sinewave and GutBrain Ventures... "The state that the operating system has to keep track of — memory, files, messages, and so on — is approximately linear to the resources you have got," says Stonebraker. "So without me saying another word, keeping track of operating system state is a database problem not addressed by current operating system schedulers. Moreover, OLTP [Online Transaction Processing] database performance has gone up dramatically, and that is why we thought instead of running the database system in user space on top of the operating system, why don't we invert our thinking 180 degrees and run the operating system on top of the database, with all of the operating services are coded in SQL...?" For now, DBOS can give the same kind of performance as that full blown Linux operating system, and thanks to the distributed database underpinnings of its kernel, it can do things that a Linux kernel just cannot do... One is provide reliable execution, which means that if a program running atop DBOS is ever interrupted, it starts where it left off and does not have to redo its work from some arbitrary earlier point and does not crash and have to start from the beginning. And because every little bit of the state of the operating system — and therefore the applications that run atop it — is preserved, you can go backwards in time in the system and restart the operating system if it experiences some sort of anomaly, such as a bad piece of application software running or a hack attack. You can use this "time travel" feature, as Stonebraker calls it, to reproduce what are called heisenbugs — ones that are very hard to reproduce precisely because there is no shared state in the distributed Linux and Kubernetes environment and that are increasingly prevalent in a world of microservices. The other benefit of the DBOS is that it presents a smaller attack surface for hackers, which boosts security, and that you analyze the metrics of the operating system in place since they are already in a NoSQL database that can be queried rather than aggregating a bunch of log files from up and down the software stack to try to figure out what is going on... There is also a custom tier for DBOS, which we presume costs money, that can use other databases and datastores for user application data, stores more than three days of log data, can have multiple users per account, that adds email and Slack support with DBOS techies, and that is available on other clouds as well as AWS. The operating system kernel/scheduler "is itself largely a database," with services written in TypeScript, according to the article. The first iteration used the FoundationDB distributed key-value store for its scheduling core (open sourced by Apple in 2018), according to the article — "a blazingly fast NoSQL database... Stonebraker says there is no reason to believe that DBOS can't scale across 1 million cores or more and support Java, Python, and other application languages as they are needed by customers..." And the article speculates they could take things even further. "There is no reason why DBOS cannot complete the circle and not only have a database as an operating system kernel, but also have a relational database as the file system for applications."

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In 2020 Oregon passed Measure 110, decriminalizing possession of small amounts of drugs. But now "America's most radical experiment with drug decriminalization has ended," writes the Atlantic, "after more than three years of painful results." Oregon Governor Tina Kotek has pledged to sign legislation repealing the principal elements of the ballot initiative... Possessing hard drugs is again a crime in Oregon, and courts will return to mandating treatment for offenders. Oregonians had supported Measure 110 with 59 percent of the vote in 2020, but three years later, polling showed that 64 percent wanted some or all of it repealed... More than $260 million were allocated to services such as naloxone distribution, employment and housing services, and voluntary treatment... Once drugs were decriminalized and destigmatized, the thinking went, those who wanted to continue using would be more willing to access harm-reduction services that helped them use in safer ways. Meanwhile, the many people who wanted to quit using drugs but had been too ashamed or fearful to seek treatment would do so. Advocates foresaw a surge of help-seeking, a reduction in drug-overdose deaths, fewer racial disparities in the health and criminal-justice systems, lower rates of incarceration, and safer neighborhoods for all... Measure 110 did not reduce Oregon's drug problems. The drug-overdose-death rate increased by 43 percent in 2021, its first year of implementation — and then kept rising. The latest CDC data show that in the 12 months ending in September 2023, deaths by overdose grew by 41.6 percent, versus 2.1 percent nationwide. No other state saw a higher rise in deaths... Neither did decriminalization produce a flood of help-seeking. The replacement for criminal penalties, a $100 ticket for drug possession with the fine waived if the individual called a toll-free number for a health assessment, with the aim of encouraging treatment, failed completely. More than 95 percent of people ignored the ticket, for which — in keeping with the spirit of Measure 110 — there was no consequence. The cost of the hotline worked out to about $7,000 per completed phone call, according to The Economist. These realities, as well as associated disorder such as open-air drug markets and a sharp rise in violent crime — while such crime was falling nationally — led Oregonians to rethink their drug policy. The article notes that Oregon was the first U.S. state to decriminalize marijuana back in 1973, and had long shown low rates of imprisonment for non-violent crimes (diverting offenders into so-called "drug courts which could mandate treatment or order court-directed supervision). "However, after Measure 110 was passed and the threat of jail time eliminated, the flow of people into these programs slowed." But "One thing Measure 110 got right, at least in principle, is that Oregon's addiction-treatment system was grossly underfunded," the article concludes. And it adds that the newly-passed law now "provides extensive new funding for immediate needs, including detox facilities, sobering centers, treatment facilities, and the staff to support those services." They recommend other states adopt "adequately funded, evidence-based prevention and treatment" — and instead of punitive incarcerations, "use criminal justice productively to discourage drug use."

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A PBS reporter "digs into a new report covering the plastic industry's tactics to push recycling — and avoid regulation," according to a new video from PBS News Weekend: A new report by the Center for Climate Integrity, an environmentalist group, says newly uncovered statements from oil and plastics executives underscore the industry's decades-long secret skepticism about the viability and efficacy of recycling. The authors of the report reviewed old investigations and new documents, including previously unknown assertions from industry executives. In 1994, one Exxon Chemical executive put the industry's support for plastics recycling in blunt terms, saying "we are committed to the activities, but not committed to the results." Another representative from Dupont noted in 1992 that recycling goals were set knowing full well "they were unlikely to meet them." In the video NPR correspondent Michael Copley says "I think it's always striking, when you see a report like this that unearths new statements, new quotes, and to see the way in which they really seem to view recycling as sort of public relations tool, as opposed to an environmental tool that they sort of presented publicly..." I think the other reason why this matters is, it could potentially be legally problematic for the industry. And by that I mean the oil and gas industry right now is facing dozens of lawsuits from states and localities, based in part on statements it made about climate change and fossil fuel, going back decades. We know that the state of California has opened an investigation into the role of oil and gas companies and the petrochemical industry in the creation of the plastic waste crisis that we're facing. And the group that put out the report, the Center for Climate Integrity, was upfront, saying that it was compiling this to serve as kind of the fact basis, or the basis of evidence, for potential legal action. A plastics trade group accused the report of citing "outdated, decades-old technologies" and "mischaracterizing the current state of the industry," saying they're looking to have all plastic packaging be "reused, recycled, and recovered by 2040." But PBS's reporter counters that there's "deep skepticism" of the economics from market analysts — as well as from material scientists. "Obviously the industry has put out this promise. I think that its critics will say, 'We have been hearing these promises, or promises like it, for decades now, and that there's nothing in the record to think that now is any different." He adds that activists and businesses agree that government regulation will ultimately play a big role. "That gets back in large part to the economics of this. If companies don't have to deal with these costs, it's hard to imagine that they will in a sustained way create systems to deal with this if they don't have to." So what's the solution? Some ideas being seriously discussed: Reducing plastic production "to a level that is more manageable with recycling systems."Getting rid of types of plastic that are "especially hard to recycle or you can't recycle.""Being more transparent about what chemicals go into this stuff that again make recycling hard."

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Mozilla Location Service offered "a free, open way to offer GPS-style location detection features" for developers on devices without GPS hardware, remembers the Linux blog OMG Ubuntu. It used signals like Wi-Fi access points and Bluetooth beacons "without any of the privacy implications most competing geolocation services have." But Friday they reported that Mozilla "has announced it is ending access to Mozilla Location Service (MLS), which provides accurate, privacy-respecting, and crowdsourced geolocation data." Developers and 3rd-party projects that use MLS to detect a users' location, such as the freedesktop.org location framework GeoClue, which is used by apps like GNOME Maps and Weather, have only a few months left to continue using the service... In late March, POST data submissions will return 403 responses. Finally, on June 12, all 3rd-party API keys will be removed and MLS data only accessible by Mozilla... MLS' accuracy has declined in recent years. Patent infringement claims in 2019 saw Mozilla reach a settlement to avoid litigation. As part of that settlement it was forced to make changes to MLS that impacted its ability to invest in (commercially exploit?) and improve the service. The article notes that GeoClue "already supports multiple location detection methods, including IP-based ones," so it should continue operating. "But the sad reality is that there just aren't a lot of free, open, privacy-friendly, accurate, and (rather importantly for a framework built in to Linux desktops) reliable alternatives to Mozilla Location Services, which has built up a colossal 'signal map' from which to pinpoint locations." "We are grateful for the contributions of the community to MLS to both the code and the dataset," a Mozilla senior engineering manager said in a statement.

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"Dell's strict new RTO mandate excludes fully remote workers from promotion," reports Business Insider. The site calls it "one of the most abrupt changes to remote work policies," noting that Dell "has had a hybrid working culture in place for more than a decade — long before the pandemic struck." "Dell cared about the work, not the location," a senior employee at Dell who's worked remotely for more than a decade, told Business Insider last month. "I would say 10% to 15% of every team was remote." That flexibility has enabled staff to sustain their careers in the face of major life changes, several employees told BI. It has also helped Dell to be placed on the "Best Place to Work for Disability Equality Index" since 2018. But in February Dell introduced a strict return-to-office mandate, with punitive measures for those who want to stay at home. Under the new policy, staff were told that from May almost all will be classified as either "hybrid," or "remote." Hybrid workers will be required to come into an "approved" office at least 39 days a quarter — the equivalent of about three days a week, internal documents seen by BI show. If they want to keep working from home, staff can opt to go fully remote. But that option has a downside: fully remote workers will not be considered for promotion, or be able to change roles. Workers have said Dell's approach might be intended to lower headcount without having to pay severance by inducing some employees to quit. But reached by Business Insider for a comment, Dell defended their approach as instead "critical to drive innovation and value differentiation." But Professor Cary Cooper, an organizational psychologist and cofounder of the National Forum for Health and Wellbeing at work, tells the site Dell could be following a "pack mentality" among tech companies — or reacting to a sluggish world economy. "Senior execs somehow think that people in the office are more productive than at home, even though there's no evidence to back that up." Business Insider added that Dell's approach "differs from founder and CEO Michael Dell's previous support for remote workers," who famously said "If you are counting on forced hours spent in a traditional office to create collaboration and provide a feeling of belonging within your organization, you're doing it wrong."

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Amazon announced a new AI-powered chatbot last month — still under develoipment — "to help you figure out what to buy," writes the Washington Post. Their conclusion? "[T]he chatbot wasn't a disaster. But I also found it mostly useless..." "The experience encapsulated my exasperation with new types of AI sprouting in seemingly every technology you use. If these chatbots are supposed to be magical, why are so many of them dumb as rocks?" I thought the shopping bot was at best a slight upgrade on searching Amazon, Google or news articles for product recommendations... Amazon's chatbot doesn't deliver on the promise of finding the best product for your needs or getting you started on a new hobby. In one of my tests, I asked what I needed to start composting at home. Depending on how I phrased the question, the Amazon bot several times offered basic suggestions that I could find in a how-to article and didn't recommend specific products... When I clicked the suggestions the bot offered for a kitchen compost bin, I was dumped into a zillion options for countertop compost products. Not helpful... Still, when the Amazon bot responded to my questions, I usually couldn't tell why the suggested products were considered the right ones for me. Or, I didn't feel I could trust the chatbot's recommendations. I asked a few similar questions about the best cycling gloves to keep my hands warm in winter. In one search, a pair that the bot recommended were short-fingered cycling gloves intended for warm weather. In another search, the bot recommended a pair that the manufacturer indicated was for cool temperatures, not frigid winter, or to wear as a layer under warmer gloves... I did find the Amazon chatbot helpful for specific questions about a product, such as whether a particular watch was waterproof or the battery life of a wireless keyboard. But there's a larger question about whether technology can truly handle this human-interfacing task. "I have also found that other AI chatbots, including those from ChatGPT, Microsoft and Google, are at best hit-or-miss with shopping-related questions..." These AI technologies have potentially profound applications and are rapidly improving. Some people are making productive use of AI chatbots today. (I mostly found helpful Amazon's relatively new AI-generated summaries of customer product reviews.) But many of these chatbots require you to know exactly how to speak to them, are useless for factual information, constantly make up stuff and in many cases aren't much of an improvement on existing technologies like an app, news articles, Google or Wikipedia. How many times do you need to scream at a wrong math answer from a chatbot, botch your taxes with a TurboTax AI, feel disappointed at a ChatGPT answer or grow bored with a pointless Tom Brady chatbot before we say: What is all this AI junk for...? "When so many AI chatbots overpromise and underdeliver, it's a tax on your time, your attention and potentially your money," the article concludes. "I just can't with all these AI junk bots that demand a lot of us and give so little in return."

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An anonymous reader shared this report: After 20 years of development, the open source GnuCOBOL "has reached an industrial maturity and can compete with proprietary offers in all environments," said OCamlPro founder and GnuCOBOL contributor Fabrice Le Fessant, in a FOSDEM talk about the technology. GnuCOBOL turns COBOL source code into executable applications. It is very cross-platform, running Linux, BSD, many proprietary Unixes, macOS, and Windows, even Android. And the latest version, v.32, is being used in many commercial settings... Sobisch noted that the GnuCOBOL is seeing a lot of commercial deployments, such as for banking back-end apps, many of which are being migrated from Micro Focus, with users reporting performance improvements as a result. The French DGFIP federal agency moved from a GCOS mainframe to GnuCOBOL, with the help of Le Fessant's firm. Originally called OpenCOBOL, the project was started in 2002 and renamed GnuCOBOL in 2013. In the past three years, it has received attention from 13 contributors with 460 commits. Most Linux package managers have a copy of GnuCOBOL for the program for downloading... It can compile to C code (C89+), making it extremely portable, from mainframes to Raspberry Pi's, Sobisch said... Also new is SuperBOL, a development studio for GnuCOBOL developed by Le Fessant's OCamlPro. It runs as a VSCode Extension and features a full COBOL processor (written in OCaml).

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