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31 Jul 2026 3:32am GMT

An anonymous Slashdot reader writes: Surveillance cameras owned by Flock Safety have been cut down with electric saws in New York State, vandalized with paint in Oakland, California, and rammed with a truck in Idaho. Flock claims its services fight crime, but law enforcement agencies also use their services to track vehicles based on license plate numbers and reconstruct the their movements, even when the drivers and owners of these vehicles have never been accused or convicted of any crime. (Flock states it has 120,000 automated cameras that record license plate data, as well as pan-tilt-zoom cameras, across the United States.) A guerilla mindset among average citizens have seen these cameras forcibly disabled within recent weeks with sympathy directed toward the vigilantes. In June, a West Virginia man accused of destroying several Flock cameras was arrested. Under a Facebook post from the local NBC affiliate announcing his arrest are dozens of people volunteering to provide alibis. "He was out fishing with me that day, you got the wrong guy," one man wrote.

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31 Jul 2026 3:30am GMT

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31 Jul 2026 3:27am GMT

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30 Jul 2026 11:43pm GMT

An anonymous reader quotes a report from Ars Technica: This week, the Model Context Protocol (MCP), an open source standard for how AI systems interact with external tools and data sources, saw its largest update since its introduction. Most notably, MCP's protocol core is now stateless, so requests are no longer dependent on a session tied to an individual server instance. This change has the potential to address long-standing barriers to scalability. The blog post announcing the specification, written by lead maintainers David Soria Parra and Den Delimarsky (who both work at Anthropic), says: "The highlight of this release is a stateless protocol core -- MCP is transforming from a bidirectional stateful protocol into a request/response stateless protocol. It was one of the most highly-requested features from developers who were eager to get better reliability and scalability for their MCP servers." [...] There is also a new deprecation policy that ensures at least 12 months between when a feature's formal deprecation is enacted and when the feature may actually be removed -- with a narrow exception for critical security updates. This is again in keeping with the general "let's make this work better at enterprise scale" theme of the new specification. This update is "MCP's most important since remote MCP first launched over a year ago," Soria Parra wrote. Other additions include "Multi Round-Trip Requests, header-based routing, cacheable list results, authorization hardening, a formal extensions framework, and updated Tier 1 SDKs." A full list of changes can be found here.

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30 Jul 2026 11:00pm GMT

joshuark quotes a report from MIT Technology Review: It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology. By taking advantage of this flaw, which concerns how LLMs identify who or what is giving them instructions, the researchers were able to make popular LLMs spit out information they had been trained not to provide, such as how to synthesize cocaine and how to sabotage a commercial aircraft's navigation system. "There's a real probability that this is going to be a problem that's fundamentally unsolvable," says Charles Ye, an independent researcher and coauthor of the ICML paper. [...] The ICML paper describes attacks against several of OpenAI's models, but Cui and Ye say that they have since seen similar results with models made by Anthropic, Alibaba, and DeepSeek. Cui and her colleagues wanted to find out why an attack like chain-of-thought forgery was so effective. They suspected it had something to do with the mechanism that LLMs use to keep track of where their instructions are coming from. But what Cui and her colleagues discovered is that LLMs are in fact very bad at keeping track of different roles. In a series of experiments that looked at what was going on inside a handful of different models, the researchers found that LLMs seem to identify the role of a specific chunk of text not by the tags around it but by the style of that text and the words it contains. The upshot, the researchers claim, is that all an attacker needs to do to hack an LLM is write text that spoofs a certain role. And because roles are a fundamental part of how LLMs work, no amount of training will fully solve the problem. "There's going to be a huge economic incentive for people to do jailbreaks and prompt injections," says Cui. The best defense could be to expect the worst. Organizations shouldn't trust LLMs, and they should expect that anything done by agents could be unsafe, he says: "That's not a great solution, but it just might be what we have to do." "It's really incredible that these things are being deployed everywhere to control super-critical systems. There's been no study of the fundamental science here. We're all doing it ad hoc."

Read more of this story at Slashdot.

30 Jul 2026 10:00pm GMT

The Xen 4.22 hypervisor arrives with x86 FRED support, AMD Bus Lock Threshold, ARM guest suspend and resume, and Xenstore scalability improvements.

30 Jul 2026 9:42pm GMT

Plus, a new deprecation policy ensures features aren't removed suddenly.

30 Jul 2026 2:53pm GMT

Fedora Linux 45 will introduce a separate, minimal GRUB package designed for confidential VMs, Unified Kernel Images, and predictable TPM measurements.

30 Jul 2026 11:52am GMT

Immich 3.1 introduces EXIF metadata filters for workflows, prevents screens from dimming during web uploads, and expands map filtering on mobile.

30 Jul 2026 10:25am GMT

HAWK withstood years of testing that had yet to uncover a fatal weakness found through Mythos.

29 Jul 2026 10:07pm GMT

Advertisers agreed to "reset" relationship with X.

29 Jul 2026 8:57pm GMT