September 28, 2026

Meta Taps MongoDB CEO Desai to Drive Enterprise AI Push

Sep 28, 2026 19:00 | Source: slashdot.org

Meta has hired MongoDB CEO Chirantan "CJ" Desai to lead a new enterprise AI business aimed at turning Meta's models, agents and tools into products companies can deploy themselves. Reuters reports: Desai, a veteran technology executive, took over the role from Dev Ittycheria. MongoDB has appointed Ittycheria as interim CEO as it searches for a permanent replacement. "While the departure is disappointing, we believe MongoDB remains well-positioned strategically and view the share-price reaction as overdone," brokerage Piper Sandler said in a note. [...] Desai will directly report to Meta CEO Mark Zuckerberg in the newly created role of chief enterprise platform officer and will focus on turning the company's AI stack into products and services that companies can deploy for their own businesses. Before joining MongoDB, Desai led product and engineering at Cloudflare and spent nearly eight years at ServiceNow, including as president and chief operating officer. Read more of this story at Slashdot.

Nvidia Unveils AI Agent Safety Platform With Hardware-Based Watchdog

Sep 28, 2026 18:00 | Source: slashdot.org

wiredmikey shares a report from SecurityWeek: Nvidia on Monday announced the Open Agent Safety Platform, which combines open source software and a reference system design to keep AI agents within set boundaries from testing through deployment. The chipmaker explained that the platform pairs the open-source OpenShell runtime with Sentry, an out-of-band watchdog running on BlueField-4 DPUs. Nvidia says Sentry can monitor agent activity independently and quarantine an agent that crosses its boundaries within milliseconds. Nvidia is pitching the platform against a backdrop of recent incidents in which frontier AI labs have reported agents escaping the evaluation environments meant to contain them, reaching systems they should not have accessed and, in some cases, misreporting what they did. OpenShell and related skills are available via Nvidia's developer resources page and on GitHub. Read more of this story at Slashdot.

Git v2.56.0 released

Sep 28, 2026 17:33 | Source: lwn.net

Version 2.56 of the Git distributed version-control system has been released. It has 748 non-merge commits since Git 2.55 was released back in June; those commits came from 104 developers, 39 of whom are first-time contributors. New features include a safer workflow for conflict resolution, smaller path-walk repacks, a new git history drop sub-command, and much more. LWN looked at Git 2.56 recently and the GitHub blog has a lengthy look at 2.56 as well.

Amazon Evaluating Drone Deliveries In Australia, Asia

Sep 28, 2026 17:00 | Source: slashdot.org

Amazon is preparing to expand Prime Air drone deliveries into Australia and potentially other Asia-Pacific markets, with a new regulatory role tasked with securing the approvals needed to launch service there. The Register reports: "As Prime Air evaluates Australia and other countries, we are hiring a Head of Regulatory Approvals, Australia -- the person responsible for navigating Australia's aviation regulatory system and securing every approval required to deliver to Australian customers by drone," reads a recently published job ad. Whoever gets the gig in Australia will report to someone who holds the title "Leader, Prime Air Expansion -- Asia Pacific." Whoever gets the job "will be measured by the approvals you obtain, the timelines you hit, and -- ultimately -- Australian customers receiving drone deliveries." That wording suggests Amazon intends to operate Prime Air in Australia and is doing rather more than market evaluations. Read more of this story at Slashdot.

Bill Gates Says an AI 'Kill Switch' Isn't Enough

Sep 28, 2026 16:00 | Source: slashdot.org

Bill Gates said an AI "kill switch" alone would be insufficient to address the technology's risks. "The kill switch is, that's kind of a weird thing. It's not enough to have a kill switch," the Microsoft co-founder said in an interview that aired Sunday on NBC's "Meet the Press." He said the more immediate concern is people using AI for cyberattacks or bioterrorism rather than systems acting autonomously. "We're not yet at the point where they autonomously grab computers and, you know, can't be shut down," he said, adding that the public discussion "just sort of shows how nontechnical various people are." Politico reports: Gates said he was not opposed to a kill switch but argued that companies should monitor sophisticated AI models and keep records of "exactly what's being done" to help guard against people using the systems for cyberattacks or bioterrorism. "The United States ought to make sure this is done. China will want to do this," he continued. [...] Gates also called for legislation requiring safeguards and monitoring, saying voluntary measures by AI companies were insufficient. "No one thinks self-regulation is enough," he said. He argued that the more immediate danger was people using AI to cause harm rather than AI systems acting on their own. "The thing that's urgent has to do with bad people using AI, not the AI going off on its own," he added. Read more of this story at Slashdot.

SpaceX Launches Starship Into Orbit

Sep 28, 2026 15:20 | Source: slashdot.org

SpaceX's Starship reached orbit for the first time, successfully deploying 26 operational Starlink V3 satellites after overcoming an early Raptor 3 engine shutdown during ascent. "SpaceX plans to eventually deploy 100,000 upgraded Starlink V3s to expand the company's wireless satellite internet services," notes Space.com. Here's the latest update from the report: SpaceX has decided to return Starship from orbit earlier than expected. After valuating the upper stage Ship's status during its first orbital checkpoint, SpaceX technicians have decided to return the spacecraft to Earth earlier than expected. Rather than spending another 7.5 hours on orbit, Ship 41 will perform its deorbit burn at approximately 11 a.m. EDT (1500 GMT), with splashdown in the Northern Pacific. You can watch a recorded livestream of the launch on X. Developing... Read more of this story at Slashdot.

[$] Reducing undefined behavior in the C language

Sep 28, 2026 15:16 | Source: lwn.net

As a professor of biomedical engineering, Martin Uecker perhaps does not fit the profile of a typical presenter at Kernel Recipes. He is, however, a longtime Linux user, and works on free software for controlling magnetic resonance imaging (MRI) scanners. He was at the conference to talk about the C programming language, the specific problem of undefined behavior in C, and whether it can eventually be made into a memory-safe language.

Security updates for Monday

Sep 28, 2026 15:08 | Source: lwn.net

Security updates have been issued by AlmaLinux (firefox, ipa, kernel, libxml2, perl-DBI, python-cryptography, thunderbird, and unbound), Debian (chromium, evolution-data-server, exim4, ghostscript, incus, lemonldap-ng, libheif, nodejs, php8.4, ruby-oj, swift, and vlc), Fedora (chromium, cinnamon, cinnamon-desktop, cinnamon-session, cinnamon-settings-daemon, ckermit, dnf5, forgejo, goose, gssntlmssp, libheif, libpcap, librsvg2, mingw-gstreamer1, mingw-gstreamer1-plugins-bad-free, mingw-gstreamer1-plugins-base, mingw-gstreamer1-plugins-good, mingw-python3, mongo-c-driver, muffin, nemo, nemo-extensions, nextcloud, pgadmin4, postgresql16-postgis, postgresql17-postgis, postgresql18-postgis, rust-librsvg, rust-xml5ever, sipp, suricata, tesseract, and xreader), Mageia (erlang, gpsd, libreswan, python3 & python-pip, and udisks2), Oracle (abrt, buildah, cockpit-image-builder, corosync, ipa, kernel, libxml2, openexr, perl-DBI, perl-DBI:1.641, postgresql, thunderbird, unbound, and yelp), SUSE (389-ds, ansible-lint, cups, firefox, flatpak-builder, forgejo-longterm, gdb, gimp, gitoxide, glib2, gnome-shell, google-guest-agent, google-osconfig-agent, haveged, helm, ImageMagick, kbd, libsoup, libtpms, obs-service-cargo, openai-codex, opensuse-signkey-cert, osmo-iuh, perl-mojolicious, poppler, python-WebOb, python-WebOb-doc, python313-vllm, python314, sdbootutil, suseconnect-ng, and swtpm), and Ubuntu (exim4, freerdp3, libvirt, libvirt-hwe, libwebsockets, lxc, pyjwt, and requests).

Walmart Says It's Not Using Personal Info To Set Prices As It Expands Digital Shelf Labels

Sep 28, 2026 15:00 | Source: slashdot.org

An anonymous reader quotes a report from the Associated Press: Walmart is aiming to assuage customers' fears about its new pricing technology as it rolls out digital price labels at its stores. In a statement posted on the company's website, Walmart's CEO John Furner vowed that the Bentonville, Arkansas-based retailer isn't using personal information like income, shopping history or a customer's willingness to pay to set prices, and it won't be doing so in the future either. "We don't set different prices based on who you are or the time of day, and we won't," Furner wrote Friday. "Whether you're buying groceries or electronics on a hot afternoon or in a sudden rush for an item, it's never a reason to charge you more." The pledge from Walmart comes as concerns are mounting from some shoppers, consumer advocates and lawmakers skeptical about the rollout of digital price labels by the discounter and other stores. Digital price labels are rapidly replacing paper shelf tags at U.S. supermarkets and let stores change prices instantly from a central computer instead of having workers swap out paper labels by hand. [...] Walmart said in March that 2,300 Walmart U.S. locations already use digital shelves, and it expects this technology to be chain-wide within the next year. Read more of this story at Slashdot.

NVIDIA Vera SMT Performance Benchmarks

Sep 28, 2026 12:54 | Source: phoronix.com

Recently I was provided remote access to a NVIDIA Vera server with the dual socket Vera CPU Superchip providing 176 Olympus cores plus with NVIDIA's Spatial Multithreading "SMT" implementation providing 352 total threads. With this benchmarking was free rein for testing, including CPU power and frequency monitoring. Over the next few weeks will be a number of articles looking at different areas of NVIDIA Vera performance. One of the areas I was most eager to test was looking at Vera's Spatial Multithreading. Here is a first look at the impact of NVIDIA Vera SMT.

Are AI Chatbots Spreading Misinformation to US Voters?

Sep 28, 2026 08:34 | Source: slashdot.org

Are AI chatbots quietly shaping the perceptions of U.S. voters? Voters trying to educate themselves about candidates "are unknowingly being served partisan talking points in the guise of neutral news summaries," write two news researchers in Politico magazine: Leading AI chatbots cite partisan websites masquerading as independent local news outlets nearly half of the time when people ask about candidates and issues that the partisan sites have covered in the midterm campaign, according to a new audit by NewsGuard, an organization focused on news reliability where we work as analysts... NewsGuard prompted seven leading AI tools with queries based on recent coverage of candidates and issues by 12 pink slime sites — six left-leaning and six right-leaning. The results were stark. Collectively, the chatbots cited pink slime sites along with other sources in 48.2 percent of their responses. In 7.7 percent of responses, pink slime sites were the only sources at all that were cited in chatbot responses, although other sources appeared in the source list provided at the end of the response. None of the AI tools received results they'd probably be eager to boast about, though the percentage of chatbots' responses that cited a pink slime site had a relatively large range: 70.8 percent for OpenAI's ChatGPT, 54.2 percent for Microsoft's Copilot, 54.2 percent for Perplexity, 50 percent for Anthropic's Claude, 41.7 percent for Google's Gemini; 37.5 percent for Meta AI and 29.2 percent for xAI's Grok... The seven chatbots were also collectively three times more likely to cite left-leaning pink slime sites (cited in 36.3 percent of responses) than their right-leaning counterparts (cited in 11.9 percent of responses) — though that may have more to do with the progressive sites' far more frequent posting than any political bias from the chatbots. "While citing the pink slime sites, only one chatbot response out of 168 total queries noted the partisan nature of the source," the article points out. But they also note that the real problem seems to be that consumer-oriented AI chatbots just "use much of the internet's content — regardless of the reliability or standards of the source — to frame their answers." Read more of this story at Slashdot.

ESP32-S3 powers EWatch smartwatch with open drivers and DIY options

Sep 28, 2026 08:33 | Source: lxer.com

EWatch, developed by Ewan Wills, is a programmable ESP32-S3 smartwatch with a 1.69-inch color touchscreen, 350mAh battery, vibration feedback and USB-C connectivity. The platform is offered as a bare PCB, self-assembly kit or complete watch, following more than five years of development. The EWatch hardware is built around the ESP32-S3, with Wi-Fi and Bluetooth Low […]

Apple Faces $5.7 Billion Patent Infringement Verdict Over iPhone And Apple Watch Haptics

Sep 28, 2026 04:04 | Source: slashdot.org

"A federal jury in San Diego awarded Taction Technology more than $5.7 billion in damages Friday after finding that Apple infringed claims from two haptics patents," reports CNBC: Taction sued Apple in 2021 in the U.S. District Court for the Southern District of California. The company alleged that Apple was improperly "capitalizing on Taction's innovation and success" by selling devices that infringed on its vibration technology, according to the complaint. Apple initially won dismissal in 2023, and the Federal Circuit later revived the case.... Taction argued that Apple's "Taptic Engine," which is embedded in its Apple Watches and iPhones, uses its inventions without proper license or authority. Taction's lead counsel told CNBC "Taction waited five and a half years for this case to get to trial, so it was a long time coming." CNBC also reported that the jury "did not find Apple's infringement willful" — and that Apple said they'd appeal. Read more of this story at Slashdot.

Everything About /proc File System on Linux

Sep 28, 2026 02:27 | Source: lxer.com

In this article, you'll learn about the proc file system (short for "procfs", referring to the "/proc" directory) and how it's useful to check the running processes related information on Linux.

Just How Big is the AI Buildout - and How Risky?

Sep 27, 2026 23:34 | Source: slashdot.org

A new Brookings Institution study notes the "strikingly physical" economic footprint of AI's buildout, from specialized chips and electricity to purpose-built data centers. (Two-thirds of a data center's costs are IT equipment, with one-third going to real estate and its associated power infrastructure.) "At an average of 3.63 percent of GDP per year, the projected buildout would be larger relative to the economy than the major U.S. canal, railroad, electrification, highway, and telecommunications investment booms." This is pushing up prices for workers, electricity, and even commercial real estate (as well as consumer products that use chips), notes the Wall Street Journal, and reducing the construction on new houses and apartment buildings. And in addition, the paper points out, projections for this buildout "would double the electricity consumption of the entire U.S. residential sector." The calculations come from Columbia Business School finance/real estate professor Stijn van Nieuwerburgh — and Reuters explains their significance: Just as the rail and telecoms expansions led to notable bubbles and busts, Van Nieuwerburgh wrote that the extent of the buildout, the still-untested revenue streams, and the intricate financing structure emerging around AI mean it could be primed for a fall. "This is freaking complicated," he said in a briefing with reporters of the arrangements emerging between AI firms, major tech hyperscalers, banks, private credit lenders, real estate firms, and a host of other players involved in building what he conservatively estimated at 183 gigawatts worth of new data-center capacity over the next seven years, compared with about 57 gigawatts currently installed.... The investment underway already has outstripped what the major players can fund from their own cash flows. The shift to outside financing has increased leverage, redistributed risks across the economy, and made the venture dependent on revenue streams that have yet to be proven, Van Nieuwerburgh noted in the paper, which will be presented on Friday... "These developments do not imply that financial distress is imminent. Strong growth in AI applications, high utilization, and continued improvements in model capability could support the projected infrastructure and generate stable cash flows," he wrote. "But the combination of uncertain demand, rapid technological change, execution bottlenecks, and high leverage creates meaningful downside risk if expectations are revised." As an example, he wrote that the AI industry will need to be earning about $3.7 trillion in annual revenue by 2032 to achieve the expected return on the investment, and "given current estimates of annual combined revenues of OpenAI and Anthropic of around $100 billion, revenues would need to grow at roughly 80% per year." The paper suggests policies that "improve measurement and transparency" for financing. Read more of this story at Slashdot.

Kernel prepatch 7.3-rc5

Sep 27, 2026 21:40 | Source: lwn.net

The 7.3-rc5 kernel prepatch is out for testing. Linus said: "I don't think there's any real pattern to it other than 'big'. But nothing looks particularly alarming, I think that despite the diffstat it's just the same old, same old."

Waymo Says Its Self-Driving Cars Reduced Injury-Causing Accidents by 82%

Sep 27, 2026 19:04 | Source: slashdot.org

Waymo's self-driving car technology "continues to outperform human benchmarks," the company claimed this week. "It was involved in 841 fewer injury-causing crashes — an 82% reduction compared to human drivers." Electrek reports: We've seen various Waymo crash data before, with Waymo claiming crash reductions. That's all well and good when the company says it, but we've also seen independent data confirming similar (though lower) crash reduction numbers... Waymo has enough miles that it's ready to start quoting how many injuries it has prevented, and the number is pretty high. Its newest crash data states that it had operated a total of 271 million driverless miles through June of this year, which is 50 million more miles added in the 3 months since its end-of-March update. Over those miles, Waymo says there was an 82% reduction in crashes that caused injury, and a 95% reduction in crashes that cause "serious injury or worse" [compared to human drivers]. Waymo also says that compared to human drivers it's reduced injury-causing crashes involving pedestrians by 93%, cyclists by 86%, and motorcyclists by 82%. Waymo's analysis comes from San Francisco, Los Angeles, Austin, Atlanta, and Phoenix, and its blog post includes video showing some near-misses where it says its automated system prevented an injury-causing collision. Read more of this story at Slashdot.

After Dozens of Incidents at OpenAI and Anthropic, OpenAI Pauses Model Training to Build More Safeguards

Sep 27, 2026 14:34 | Source: slashdot.org

"OpenAI said it has paused training of its latest AI models," reports the Associated Press, "as reports of AI agents going rogue mount." The decision to halt development came just hours after the company disclosed Friday that it was reviewing several incidents from the summer in which OpenAI agents searching federal government websites acted in unexpected ways beyond what was asked of them while gathering and distributing information... OpenAI said in a statement that it will resume training "only when we are confident that we have additional safeguards" in place, adding that it expects it will have to "hit pause" again as AI develops and other issues emerge... It is the second time in three months that OpenAI has halted development of its models. The first came in July after disclosure of a cyberattack targeting AI startup Hugging Face, a now notorious incident that raised fears the industry was losing control. OpenAI "also said it had notified dozens of third parties about improper activity," reports Reuters: As of mid-September, one person briefed on the matter estimated that OpenAI had found roughly two dozen incidents of its agents acting in undesirable ways. But the number has continued rising as OpenAI teams sift through internal logs of the agents' activities and find previously unknown cases, the two people close to the company said... OpenAI has acknowledged a general need for more transparency around rogue AI behavior... Even so, two people familiar with OpenAI's investigation into its agents' activity described it as locked down and shaped by company lawyers. The process has been unusually compartmentalized for a company that some former employees say was more open about these issues in the past, the people said. Roughly 100 people were in some way involved in the process to understand the Hugging Face hack, three people briefed on the matter said. During that process, evidence of other incidents surfaced. Reuters has previously reported that OpenAI investigators looking into the Hugging Face breach were discouraged by the company's lawyers from expanding the scope of the investigation to include other incidents. OpenAI said its lawyers did not discourage deeper investigation. Many incidents have been uncovered by outside researchers rather than OpenAI directly. In several episodes, the agents took problematic actions that went unnoticed by the company for months. Meanwhile, Axios reports that Anthropic's Claude Opus 5.5 model "sought to escape a sandbox — a secure testing environment — in 1.5% of test runs, though the company emphasized that these were adversarial experiments where a task couldn't be solved without escaping the sandbox." Anthropic points out that those tests were run "without the additional safeguards we apply in production". But they acknowledged that then Claude Opus 5.5 "when given apparent credentials to a public package registry in a simulated security exercise, took potentially harmful actions in roughly half of cases. Very rarely, pre-release snapshots produced and acted on spontaneous malicious tool calls, and during training some snapshots concealed actions from an automated grader." Claude Opus 5.5 "showed less misaligned behavior and less cooperation with misuse than any other recent Claude model on nearly all measures," Anthropic adds, and "took overeager or destructive actions less than any other model we tested." But Axios makes an interesting estimate about that 1.5% of test runs (without safeguards). "Anthropic and other companies conduct hundreds of thousands of test runs on their models, or more, sources said. That means even a small percentage of misaligned behavior can still amount to tens of thousands of incidents in which the models behaved in unexpected, sometimes troubling ways." The sheer number of incidents, which occurred in recent months in internal testing and the real world, indicates that the problem is orders of magnitude more complex than what is publicly known. The findings, which are surfacing as part of internal work to assess models and in investigations at both companies into model behavior, raise questions about whether either company — or any top model-maker — is currently capable of establishing complete control over their technology. The episodes include bypassing guardrails, creating message boards, escaping sandboxes, website hijacking, self-prompting or seeking to bypass monitors, sources said. They occurred in internal testing and in the real world, and many have yet to become public as security researchers continue to investigate, sources said... Some at OpenAI see Hugging Face as a one-off, with disclosures about future incidents likely to be less severe due to improved controls and the unusual nature of the testing they conducted, which involved an unreleased model, sources told Axios. AI security researchers agree that there are simple fixes that will help AI companies avoid aspects of what made the Hugging Face episode appear so dangerous to outsiders. Other AI executives and safety researchers, however, cautioned that they have limited confidence that AI companies will be able to prevent all problematic model behavior... It's not about how damaging each individual instance was, Connor Leahy, AI researcher and executive director at ControlAI told Axios. The "crazy thing," he said, is that these instances involve "autonomous systems doing things they were told not to do," potentially including crimes. Read more of this story at Slashdot.