Friday TechCrunch reported that OpenAI "used the subreddit, r/ChangeMyView to create a test for measuring the persuasive abilities of its AI reasoning models." The company revealed this in a system card — a document outlining how an AI system works — that was released along with its new "reasoning" model, o3-mini, on Friday.... OpenAI says it collects user posts from r/ChangeMyView and asks its AI models to write replies, in a closed environment, that would change the Reddit user's mind on a subject. The company then shows the responses to testers, who assess how persuasive the argument is, and finally OpenAI compares the AI models' responses to human replies for that same post. The ChatGPT-maker has a content-licensing deal with Reddit that allows OpenAI to train on posts from Reddit users and display these posts within its products. We don't know what OpenAI pays for this content, but Google reportedly pays Reddit $60 million a year under a similar deal. However, OpenAI tells TechCrunch the ChangeMyView-based evaluation is unrelated to its Reddit deal. It's unclear how OpenAI accessed the subreddit's data, and the company says it has no plans to release this evaluation to the public... The goal for OpenAI is not to create hyper-persuasive AI models but instead to ensure AI models don't get too persuasive. Reasoning models have become quite good at persuasion and deception, so OpenAI has developed new evaluations and safeguards to address it. Reddit's "ChangeMyView" subreddit has 3.8 million human subscribers, making it a valuable source of real human interactions, according to the article. And it adds one more telling anecdote. "Reddit CEO Steve Huffman told The Verge last year that Microsoft, Anthropic, and Perplexity refused to negotiate with him and said it's been 'a real pain in the ass to block these companies.'"

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Bill Gates' blog has been updated with short videos about his upcoming book, including one about how his school ended up with an ASR-33 teletype that could connect their Seattle classroom to a computer in California. "The teachers faded away pretty quickly," Gates adds, "But about six of us stayed hardcore. One was Paul Allen..." — the future co-founder of Microsoft. And the experience clearly meant a lot to Gates. "Microsoft just never would've happened without Paul — and this teletype room." In a longer post thanking his "brilliant" teachers, Gates calls his teletype experience "an encounter that would shape my entire future" and "opened up a whole new world for me." Gates also thanks World War II Navy pilot and Boeing engineer Bill Dougall, who "was instrumental in bringing computer access to our school, something he and other faculty members pushed for after taking a summer computer class... The fascinating thing about Mr. Dougall was that he didn't actually know much about programming; he exhausted his knowledge within a week. But he had the vision to know it was important and the trust to let us students figure it out." Gates shared a similar memory about the computer-room's 20-something overseer Fred Wright, who "intuitively understood that the best way to get students to learn was to let us explore on our own terms. There was no sign-up sheet, no locked door, no formal instruction." Instead, Mr. Wright let us figure things out ourselves and trusted that, without his guidance, we'd have to get creative... Some of the other teachers argued for tighter regulations, worried about what we might be doing in there unsupervised. But even though Mr. Wright occasionally popped in to break up a squabble or listen as someone explained their latest program, for the most part he defended our autonomy... Mr. Wright gave us something invaluable: the space to discover our own potential. Any Slashdot readers have a similarly impactful experience? Share your own thoughts and memories in the comments. Do you remember your high school's computer room?

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On January 24th Brooklyn blogger Jeffrey Emanuel made the case for shorting NVIDIA, remembers MarketWatch, "due to a number of shifting tides in the AI world, including the emergence of a China-based company called DeepSeek." He published his 12,000-word post "on his personal blog and then shared it with the Value Investors Club website and across Reddit, X and other platforms." The next day he saw 35 people read his post. "But then the post started to go viral..." Well-known venture capitalist Chamath Palihapitiya shared Emanuel's post on Nvidia's short case with his 1.8 million X followers. Successful early stage investor Naval Ravikant shared the post with his 2.6 million followers... Morgan Brown, a vice president of product and growth at Dropbox, pointed to it in a thread that was viewed over 13 million times. Emanuel's own X post got nearly half a million views. He also quickly gained about 13,000 followers on the platform, going from about 2,000 to more than 15,000 followers... [Emanuel] pointed to the fact that so many people in San Jose were reading his blog post. He theorized that many of them were Nvidia employees with thousands — or even millions — of dollars worth of Nvidia stock tied up in employee stock options. With that much money in a single asset, Emanuel speculated that many were already debating whether to hold the stock or sell it to lock in profits. He believes his blog post helped convince some of them to sell. "A lot of the sell pressure you saw on Monday morning wasn't necessarily what you might think. I believe a fair amount of that was from shares that had never been active because they had been sitting in workplace.schwab.com accounts..." Emanuel stresses he's "the most bullish on AI," with MarketWatch emphasizing that "while the points Emanuel laid out in his blog post might be bearish for Nvidia, he still thinks they paint a positive future for AI." Nevertheless, Monday NVIDIA's market capitalization dropped $600 billion, which MarketWatch calls "the largest single-day market-cap drop to date for any company." What countless Wall Street firms and investment analysts had seemingly missed was being pointed out by some guy in his apartment.... Matt Levine, the prominent Bloomberg News financial columnist, noted the online chatter that claimed Emanuel's post "was an important catalyst" for the stock-market selloff and said it was a "candidate for the most impactful short research report ever." Emanuel spent the rest of the week booked solid as hedge funds paid him $1,000 per hour to speak on the phone and give his take on Nvidia and AI... Emanuel wrote that the industry may be running low on quality data to train that AI — that is, a potential "data wall" is looming that could slow down AI scaling and reduce some of that need for training resources... Some of these companies, like Alphabet, have also been investing in building out their own semiconductor chips. For a while, Nvidia's hardware has been the best for training AI, but that might not be the case forever as more companies, such as Cerebras, build better hardware. And other GPU makers like AMD are updating their drivers software to be more competitive with Nvidia... Add all these things together — unsustainable spending and data-center building, less training data to work with, better competing hardware and more efficient AI — and you get a future where it's harder to imagine Nvidia's customers spending as much as they currently are on Nvidia hardware... "If you know that a company will only earn supersized returns for a couple years, you don't apply a multiple. You certainly don't put a 30-times multiple," Emanuel told MarketWatch. The article notes that DeepSeek "is open-source and has been publishing technical papers out in the open for the past few months... The $5.6 million training-cost statistic that many investors cited for sparking the DeepSeek market panic was actually revealed in the V3 technical paper published on Dec. 26."

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The Steam on Linux marketshare ended 2024 with a 2.29% against Windows at 96.1% and macOS at 1.61%. The Steam Survey numbers for January were posted this evening and they show a sizable dip for the Linux gaming use but there are also other odd discrepancies with the updated monthly figures...

Wednesday the Linux Foundation wrote that both "regulatory compliance" and "increased cybersecurity risk" were "creating burdens...that must be met" for open source communities. And so, as Steven J. Vaughan-Nichols writes, "the Linux Foundation has released a comprehensive guide to help open source developers navigate the complex landscape of the U.S. Office of Foreign Assets Control (OFAC) sanctions..." These rules, aimed at achieving economic, foreign policy, and national security goals, apply to various interactions, including those in the open source community. The total Sanctions Programs and Country list amounts to over 17 thousand entries ranging from individuals to terrorist organizations to countries. If that rings a bell, it's because, in October 2024, the Linux kernel developers ran right into this issue. The Linux kernel's leadership, including Greg Kroah-Hartman, the stable Linux kernel maintainer, and Linus Torvalds, Linux's founder, announced that eleven Russian kernel developers had been removed from their roles working on the Linux kernel. Why? Because, as Torvalds said, of "Russian sanctions." This, he added, in a Linux kernel mailing list (LKML) message was because "the 'various compliance requirements' are not just a US thing." For developers, this means exercising caution about who they interact with and where their contributions originate. The sanctions target specific countries, regions, and individuals or organizations, many of which are listed on the Specially Designated Nationals and Blocked Persons (SDN) List... Most OFAC sanctions are exempted for "informational materials," which generally include open source code. However, this only applies to existing code and not to requests for new code or modifications. So, for example, working with a Russian developer on a code patch could land you in hot water... While reviewing unsolicited patches from contributors in sanctioned regions is generally acceptable, actively engaging them in discussions or improvements could cross legal boundaries... Developers are warned to be cautious of sanctioned entities attempting to contribute indirectly through third parties or developers acting "individually." Countries currently sanctioned include: Russia Cuba Iran North Korea Syria The following regions of Ukraine: Crimea, Donetsk and Luhansk regions of the Ukraine. The Linux Foundation had written that the OFAC sanctions rules are "strict liability" rules, "which means it does not matter whether you know about them or not. Violating these rules can lead to serious penalties, so it's important to understand how they might affect your open source work." But J. Vaughan-Nichols offers this quote from open source licensing attorney Heather Meeker. "Let's be honest: Smaller companies usually ignore regulations like this because they just don't have the resources to analyze them, and a government usually ignores smaller companies because it doesn't have the resources to enforce against them. Big companies that are on the radar need specialized counsel."

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Thursday America's FDA "raised concerns about cybersecurity vulnerabilities" in patient monitors from China-based medical device company Contec "that could allow unauthorized individuals to access and potentially manipulate those devices," reports Reuters. The patient monitors could be remotely controlled by unauthorized users or may not function as intended, and the network to which these devices are connected could be compromised, the agency warned. The FDA also said that once these devices are connected to the internet, they can collect patient data, including personally identifiable information and protected health information, and can export this data out of the healthcare delivery environment. The agency, however, added that it is currently unaware of any cybersecurity incidents, injuries, or deaths related to these identified cybersecurity vulnerabilities. The FDA's announcement says "The software on the patient monitors includes a backdoor, which may mean that the device or the network to which the device has been connected may have been or could be compromised." And it offers this advice to caregivers and patients: If your health care provider confirms that your device relies on remote monitoring features, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor. If your device does not rely on remote monitoring features, use only the local monitoring features of the patient monitor. This means unplugging the device's ethernet cable and disabling wireless (that is, WiFi or cellular) capabilities, so that patient vital signs are only observed by a caregiver or health care provider in the physical presence of a patient. If you cannot disable the wireless capabilities, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor. A detailed report from CISA describes how a research team "created a simulated network, created a fake patient profile, and connected a blood pressure cuff, SpO2 monitor, and ECG monitor peripherals to the patient monitor. Upon startup, the patient monitor successfully connected to the simulated IP address and immediately began streaming patient data..." to an IP address that hard-coded into the backdoor function. "Sensor data from the patient monitor is also transmitted to the IP address in the same manner. If the routine to connect to the hard-coded IP address and begin transmitting patient data is called, it will automatically initialize the eth0 interface in the same manner as the backdoor. This means that even if networking is not enabled on startup, running this routine will enable networking and thereby enable this functionality

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An anonymous reader shared this report from Reuters: New York-based cybersecurity firm Wiz says it has found a trove of sensitive data from the Chinese artificial intelligence startup DeepSeek inadvertently exposed to the open internet. In a blog post published Wednesday, Wiz said that scans of DeepSeek's infrastructure showed that the company had accidentally left more than a million lines of data available unsecured. Those included digital software keys and chat logs that appeared to capture prompts being sent from users to the company's free AI assistant. Wiz's chief technology officer tells Reuters that DeepSeek "took it down in less than an hour" after Wiz alerted them. "But this was so simple to find we believe we're not the only ones who found it."

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SC World reports: A new phishing scam targeting mobile devices was observed using a "never-before-seen" obfuscation method to hide links to spoofed United States Postal Service (USPS) pages inside PDF files, [mobile security company] Zimperium reported Monday. The method manipulates elements of the Portable Document Format (PDF) to make clickable URLs appear invisible to both the user and mobile security systems, which would normally extract links from PDFs by searching for the "/URI" tag. "Our researchers verified that this method enabled known malicious URLs within PDF files to bypass detection by several endpoint security solutions. In contrast, the same URLs were detected when the standard /URI tag was used," Zimperium Malware Researcher Fernando Ortega wrote in a blog post. The attackers send the malicious PDFs via SMS text messages under the guise of providing instructions to retrieve a USPS package that failed to deliver... The phishing websites first displays a form for the victim provide their mailing address, email address and telephone number, and then asks for credit card information to pay a $0.30 "service fee" for redelivery of the supposed package... Zimperium identified more than 20 versions of the malicious PDF files and 630 phishing pages associated with the scam operation. The phishing pages were also found to support 50 languages, suggestion international targeting and possible use of a phishing kit. "Users' trust in the PDF file format and the limited ability of mobile users to view information about a file prior to opening it increase the risk of such phishing campaigns, Zimperium noted." Thanks to Slashdot reader spatwei for sharing the news.

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"Sometimes, government makes a bad bet..." writes the Los Angeles Times. Opening in 2014, the Ivanpah concentrated solar plant "quickly became known as an expensive, bird-killing eyesore." Assuming that state officials sign off — which they most likely will, because the deal will lead to lower bills for PG&E customers — two of the three towers will shut down come 2026. Ivanpah's owners haven't paid off the project's $1.6-billion federal loan, and it's unclear whether they'll be able to do so. Houston-based NRG Energy, which operates Ivanpah and is a co-owner with Kelvin Energy and Google, said that federal officials took part in the negotiations to close PG&E's towers and that the closure agreement will allow the federal government "to maximize the recovery of its loans." It's possible Ivanpah's third and final tower will close, too. An Edison spokesperson told me the utility is in "ongoing discussions" with the project's owners and the federal government over ending the utility's contract. It might be tempting to conclude government should stop placing bets and just let the market decide. But if it weren't for taxpayers dollars, large-scale solar farms, which in 2023 produced 17% of California's power, might never have matured into low-cost, reliable electricity sources capable of displacing planet-warming fossil fuels. More than a decade ago, federal loans helped finance some of the nation's first big solar-panel farms. Not every government investment will be a winner. Renewable energy critics still raise the specter of Solyndra, a solar panel manufacturer that filed for bankruptcy in 2011 after receiving a $535-million federal loan. But on the whole, clean power investments have worked out. The U.S. Department of Energy reported that as of Dec. 31, it had disbursed $40.5 billion in loans. Of that amount, $15.2 billion had already been repaid. The federal government was on the hook for $1.03 billion in estimated losses but had reaped $5.6 billion in interest. The article notes recent U.S. energy-related loans to a lithium mine in Nevada (close to $1 billion) and $15 billion to expand hydropower, upgrade power lines, and add batteries. Some of the loans won't get paid back "If federal officials are doing their jobs well," the article adds. "That's the risk inherent to betting on early-stage technologies." About the Ivanpah solar towers, they write "Maybe they never should have been built. They're too expensive, they don't work right, they kill too many birds... It's good that their time is coming to an end. But we should take inspiration from them, too: Don't get complacent. Keep trying new things." PG&E says their objective at the time was partly to "support new technologies," with one senior director of commercial procurement noting "It's not clear in the early stages what technologies will work best and be most affordable for customers. Solar photovoltaic panels and battery energy storage were once unaffordable at large scale." But today they've calculated that ending their power agreements with Ivanpah would cost customers "substantially less." And once deactivated, Ivanpah's units "will be decommissioned, providing an opportunity for the site to potentially be repurposed for renewable PV energy production," NRG said in a statement. The Las Vegas Review-Journal notes that instead the 3,500-acre, 386-megawatt concentrated thermal power plant used a much older technology, "a system of mirrors to reflect sunlight and generate thermal energy, which is then concentrated to power a steam engine." Throughout the day, 350,000 computer-controlled mirrors track the sunlight and reflect it onto boilers atop 459-foot towers to generate AC. Nowadays, photovoltaic solar has surpassed concentrated solar power and become the dominant choice for renewable, clean energy, being more cost effective and flexible... So many birds have been victims of the plant's concentrated sun rays that workers referred to them as "streamers," for the smoke plume that comes from birds that ignite in midair. When federal wildlife investigators visited the plant around 10 years ago, they reported an average of one "streamer" every two minutes. "Meanwhile, environmentalists continue to blame the Mojave Desert plant for killing thousands of birds and tortoises," reports the Associated Press. And a Sierra Club campaign organizer also says several rare plant species were destroyed during the plant's construction. "While the Sierra Club strongly supports innovative clean energy solutions and recognizes the urgent need to transition away from fossil fuels, Ivanpah demonstrated that not all renewable technologies are created equal."

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Star Wars star Mark Hamill, science fiction author William Gibson, XKCD cartoonist Randall Munroe, and The Onion have joined millions of others bringing Bluesky's user count to 30 million, reports CNET. In fact Bluesky has added over 14 million users in the last three months, and for a few days in early November was adding over one million users a day. "That rate equals about 12 new users per second. The 30 million user mark compares to 9 million users in September." But meanwhile Meta's social media site Threads — launched 19 months ago — "now has 320 million monthly active users," reports TechCrunch, "up from 300 million last month. The app had 275 million monthly active users in [early] November." That's a 16% grow rate in just three months. In comparison, Bluesky is experiencing a slowdown in growth, with an increase of less than 10% month-over-month in December 2024, following a remarkable 189% growth in November, according to analytics firm Similarweb. Bluesky now has a total of 26.44 million users. Additionally, Zuckerberg noted that Threads is adding more than 1 million daily signups [while presenting fourth-quarter earnings on Wednesday].

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La première chose à dire cette semaine est que les RTX 5000 sont là, mais pas vraiment là en fait. La RTX 5080 fait son entrée dans le tableau à 2064 euros..., la RTX 5090 est tout simplement indisponible pour le moment... Bref, un début de carrière difficile. Pour les autres cartes des verts, la 4060 prend 6 euros, la 4070 baisse de 4 euros, la 4070 Super perd 14 euros, la 4070 Ti augmente de 24 euros, la 4070 Ti Super baisse de 5 euros, la 4080 Super augmente de 108 euros et la 4090 prend 25 euros. Bref, ce n'est pas du tout la fête. […]

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Nearly three years ago a team of Chinese AI engineers working for DeepSeek's parent company unveiled an earlier AI supercomputer that the Washington Post says was constructed from 10,000 A100 GPUs purchased from Nvidia. Roughly six months later "Washington had banned Nvidia from selling any more A100s to China," the article notes. Remember that number as you read this. 10,000 A100 GPUs... DeepSeek's new chatbot caused a panic in Silicon Valley and on Wall Street this week, erasing $1 trillion from the stock market. That impact stemmed in large part from the company's claim that it had trained one of its recent models on a minuscule $5.6 million in computing costs and with only 2,000 or so of Nvidia's less-advanced H800 chips. Nvidia saw its soaring value crater by $589 billion Monday as DeepSeek rocketed to the top of download charts, prompting President Donald Trump to call for U.S. industry to be "laser focused" on competing... But a closer look at DeepSeek reveals that its parent company deployed a large and sophisticated chip set in its supercomputer, leading experts to assess the total cost of the project as much higher than the relatively paltry sum that U.S. markets reacted to this week... Lennart Heim, an AI expert at Rand, said DeepSeek's evident access to [the earlier] supercomputer would have made it easier for the company to develop a more efficient model, requiring fewer chips. That earlier project "suggests that DeepSeek had a major boost..." according to the article, "with technology comparable to that of the leading U.S. AI companies." And while DeepSeek claims it only spent $5.6 million to train one of its advanced models, "its parent company has said that building the earlier supercomputer had cost 1 billion yuan, or $139 million.") Yet the article also cites the latest insights Friday from chip investment company SemiAnalysis, summarizing their finding that DeepSeek "has spent more than half a billion dollars on GPUs, with total capital expenditures of almost $1.3 billion." The article notes Thursday remarks by OpenAI CEO Sam Altman that DeepSeek's energy-efficiency claims were "wildly overstated... This is a model at a capability level that we had quite some time ago." And Palmer Luckey called DeepSeek "legitimately impressive" on X but called the $5.6 million training cost figure "bogus" and said the Silicon Valley meltdown was "hysteria." Even with these higher total costs in mind, experts say, U.S. companies are right to be concerned about DeepSeek upending the market. "We know two things for sure: DeepSeek is pricing their services very competitively, and second, the performance of their models is comparable to leading competitors," said Kai-Shen Huang, an AI expert at the Research Institute for Democracy, Society and Emerging Technology, a Taipei-based think tank. "I think DeepSeek's pricing strategy has the potential to disrupt the market globally...." China's broader AI policy push has helped create an environment conducive for a company like DeepSeek to rise. Beijing announced an ambitious AI blueprint in 2017, with a goal to become a global AI leader by 2030 and promises of funding for universities and private enterprise. Local governments across the nation followed with their own programs to support AI.

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"A jury may never see the gun that authorities say was used to kill Blake Story last year," reports Cleveland.com. "That's because Cleveland police used a facial recognition program — one that explicitly says its results are not admissible in court — to obtain a search warrant, according to court documents." The search turned up what police say is the murder weapon in the suspect's home. But a Cuyahoga County judge tossed that evidence after siding with defense attorneys who argued that the search warrant affidavit was misleading and relied on inadmissible evidence. If an appeals court upholds the judge's ruling to suppress the evidence, prosecutors acknowledge their case is likely lost... The company that produced the facial recognition report, Clearview AI, has been used in hundreds of law enforcement investigations throughout Ohio and has faced lawsuits over privacy violations. Not only does Cleveland lack a policy governing the use of artificial intelligence, Ohio lawmakers also have failed to set standards for how police use the tool to investigate crimes. "It's the wild, wild west in Ohio," said Gary Daniels, a lobbyist for the American Civil Liberties Union. The lack of state regulation of how law enforcement uses advanced technologies — no laws similarly govern the use of drones or license plate readers — means it is essentially up to agencies how they use the tools. The affidavit for the search warrant was signed by a 28-year police force veteran, according to the article — but it didn't disclose the use of Clearview's technology. Clearview's report acknowledged their results were not admissible in court — but then provided the suspect's name, arrest record, Social Security number, according to the article, and "noted he was the most likely match for the person in the convenience store." Thanks to tlhIngan (Slashdot reader #30,335) for sharing the news.

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GTK developers have been holding another hackfest this week for the annual FOSDEM developer conference happening this weekend in Brussels. GTK developers are working toward the GTK 4.18 stable release and continuing to think more about GTK 5...

Merged on Friday to the Linux 6.14 kernel were the Kbuild feature changes for this cycle. Most notable with these kernel build changes is the introduction of the gendwarfksyms tool that is used as part of the ongoing Rust programming language push within the Linux kernel...

Ou alors c'est du potage mais ça ne doit pas être une douille non plus...

Ola chers amis ! Cette semaine au menu nous avons : Du bon foutage, la merdification sous forme de submersion, du lamentable, du tranchage hasardeux, et enfin du lavage de linge sale en (grande) famille, au cas où vous ne seriez pas tombé dessus vendredi. Sur ce, je vous laisse, je raccroche. Non c’est vous, non c’est moi, allez, à 1, 2 3… ahah, vous n’avez pas raccroché encore. Bon, je le fais. allo?

An anonymous reader quotes a report from TechCrunch: To cap off a day of product releases, OpenAI researchers, engineers, and executives, including OpenAI CEO Sam Altman, answered questions in a wide-ranging Reddit AMA on Friday. OpenAI the company finds itself in a bit of a precarious position. It's battling the perception that it's ceding ground in the AI race to Chinese companies like DeepSeek, which OpenAI alleges might've stolen its IP. The ChatGPT maker has been trying to shore up its relationship with Washington and simultaneously pursue an ambitious data center project, while reportedly laying groundwork for one of the largest financing rounds in history. Altman admitted that DeepSeek has lessened OpenAI's lead in AI, and he also said he believes OpenAI has been "on the wrong side of history" when it comes to open-sourcing its technologies. While OpenAI has open-sourced models in the past, the company has generally favored a proprietary, closed-source development approach. "[I personally think we need to] figure out a different open source strategy," Altman said. "Not everyone at OpenAI shares this view, and it's also not our current highest priority [] We will produce better models [going forward], but we will maintain less of a lead than we did in previous years." In a follow-up reply, Kevin Weil, OpenAI's chief product officer, said that OpenAI is considering open-sourcing older models that aren't state-of-the-art anymore. "We'll definitely think about doing more of this," he said, without going into greater detail.

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