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Flock Cameras Are Being Destroyed Across the US

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.

Read more of this story at Slashdot.

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Hi, can I get some feedback on chronos CRM?

hello. this is my first time here. My agency is on the fence about switching to chronos CRM. We tested it and I just wanted to make 1 last check before we do. we saw the good side, we liked the features and the prices. But I don’t see a lot of bad comments anywhere . Does anyone have any horror stories or any bad feedback?

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Soggy

damp...

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New MCP Specification Addresses the Main Barrier To Enterprise Adoption

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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A Fundamental Flaw Leaves LLMs Strikingly Vulnerable To Attack

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."

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I built a CRM to fix my own headaches. Now I want to fix yours.

I spent years dealing with broken software, overpriced subscriptions, and CRMs that just feel like glorified spreadsheets. I finally hit a breaking point. Instead of paying for a dozen different fragmented tools just to run a business, I decided to build the exact solution I was looking for.

The journey to get here was an absolute grind. I put my head down and focused entirely on the product to build an ecosystem exactly how it needed to be built, doing it completely on my own terms.

The result is the OpenLuxe CRM. I set out to make something that actually works the way founders and operators think, solving the massive pain points that still plague the industry.

Here is how we fixed it:

  • A built in AI partner: I didn't want a static database. We built Odysseus, an AI agent that acts as your personal intelligence hub. You can ask it anything about your pipeline, and it extracts structured bullet points to build out ongoing strategy threads for every single contact.
  • Automated communication: We baked in configurable AI receptionists that can answer inbound calls, pull CRM data directly from the transcripts, and even auto-reply to inbound SMS messages.
  • True consolidation: It connects natively with our Storyline Builder and custom website tools. Your leads flow directly into a customizable deal flow pipeline where you can track close likelihoods, and you can draft and send invoices or secure payment links all in one place.

But we know there are still more problems to solve, and the whole point of this post is that we want to make our CRM even better. I want to hear from you: what are the biggest pain points with your current CRM? What are the problems that nobody seems to be addressing? Tell us what is broken, and we will build the solution for you.

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Microsoft's $450 Billion Jump Is Biggest In Stock Market History

Microsoft shares surged as much as 17% after reporting 43% growth in Azure revenue, putting the company on track to add a record $490 billion in market value in a single day. Bloomberg notes that it "would eclipse Nvidia's $440 billion addition, following President Donald Trump's announcement of a 90-day tariff pause last year, as the biggest ever." From the report: The nearly $500 billion jump is larger than the market capitalization of roughly 96% of S&P 500 stocks, data compiled by Bloomberg show. It's also bigger than the combined value of the benchmark's 44 smallest members, which includes companies like Domino's Pizza Inc., Clorox Co. and Hasbro Inc. Microsoft's one-day add in value also dwarfs many of the world's other equity markets. South Africa, Turkey, Finland and Vietnam all have total stock market values that are less than what the software maker is set to add on Thursday.

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ABC Accuses FCC of 'Attempted Censorship'

ABC accused FCC Chair Brendan Carr of "attempted censorship," arguing that an early review of its eight broadcast licenses is politically motivated retaliation over the network's coverage and could chill the entire media industry. "The retaliation against ABC is a signal to every media company in the country: accommodate the Administration's view of what news coverage should look like or pay the price," the Disney-owned television network wrote. Politico reports: "Across the government, regulatory and contracting carrots and sticks have been trained on other disfavored speakers," ABC's lawyers added in the 119-page filing. "The tools vary; the objective does not: a media industry too fearful of official reprisal to report the news freely." Carr has repeatedly rejected accusations of censorship while defending his efforts to rein in what he calls abusive, politically motivated behavior by licensed TV broadcasters. "I don't view the FCC as the speech police," he told POLITICO this week for an upcoming episode of the podcast "The Conversation." In its filing, ABC pointed to an outpouring of support it has received in more than 152,000 comments in the agency's license review, as well as recent warnings from conservative Supreme Court Justice Neil Gorsuch, Sen. Ted Cruz (R-Texas) and various pro-free-market organizations about the dangers of a politically motivated FCC. Those include letters from a bipartisan group of former FCC leaders, community and advocacy groups and lawmakers of both parties. "The Commission's attempted censorship of ABC has attracted condemnation across the political aisle," the network wrote.

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Amazon's Zoox Wins First US Approval For Paid Robotaxis Without Human Controls

An anonymous reader quotes a report from Reuters: Amazon's Zoox unit has won U.S. approval for limited commercial deployment of its novel steering-wheel-free robotaxis, a first for the autonomous ride industry, the U.S. auto safety agency said on Thursday. Zoox said that the National Highway Traffic Safety Administration's decision gives the company federal approval to begin charging for rides, and that it will soon begin charging for service, first in Las Vegas, with additional markets to follow as it completes various state requirements. [...] NHTSA Administrator Jonathan Morrison told Reuters that Zoox had received clearance to commercially deploy up to 2,500 vehicles in each of the next two years. Zoox currently carries passengers in parts of Las Vegas and San Francisco as part of testing. The exemption would allow Zoox to charge them fees, subject to state and local approvals. The agency said it determined the vehicle is as safe as an equivalent vehicle meeting federal motor vehicle safety standards that are being waived. Zoox cannot sell any of the vehicles to the public. "We can say pretty clearly that the systems in place on the Zoox exceed the equivalent performance requirements of a compliant vehicle," Morrison said in an interview. "But we still want to make sure that the automated driving system will operate appropriately." As part of the exemption, NHTSA is placing additional reporting requirements on Zoox for issues such as crashes or stopping inappropriately on roads, and the regulatory agency will adjust the conditions based on how the vehicles behave. "We have the ability to pull the exemption if we see major safety issues," Morrison said. All remote operators must be located in the United States, NHTSA said, and Zoox must publish maps of areas indicating where the vehicles are operating. Morrison said NHTSA expects to develop the first federal safety standards for automated driving systems by the end of the Trump administration. It is also proposing to overhaul some existing rules written with human drivers in mind such as requiring brake pedals and rear-view mirrors.

Read more of this story at Slashdot.

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DPRK-Linked macOS Malvertising Uses Fake Updates to Deliver Crypto-Stealing Malware

Threat actors with ties to North Korea have been attributed to a sophisticated macOS malvertising campaign that involves redirecting users to fake web pages displaying a full-screen non-existent update sequence to deliver malware as part of a new iteration of the long-running Contagious Interview campaign. The defining aspect of the attack is that bogus macOS software update screen stealthily

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Catastrophic MoD Data Breach Caused By Lack of Training On Excel

A UK parliamentary inquiry found that a catastrophic Ministry of Defense breach exposing 18,700 Afghans could have been prevented with basic Excel training, after an employee unknowingly shared a hidden worksheet containing their details. The Independent reports: The leak, in February 2022, exposed the details of 18,700 Afghans who said they were in danger from the Taliban because of their links to UK forces and now wanted to escape to Britain. The blunder triggered an unprecedented superinjunction used against the national media, including The Independent, and prompted a secret evacuation program -- the cost of which is still unclear but which likely ran into the billions of pounds. Following the revelation by this outlet and others in July last year of the hidden operation, MPs set up an inquiry to scrutinize what had happened. In their report, the defense selection committee concluded that: - The data breach could have been prevented if Ministry of Defense (MoD) personnel had received basic Excel training - By August 2023, when the department discovered the leak, thousands of people already knew that a significant data incident had taken place - The government did not strike "the right balance between operational secrecy and democratic accountability" -- and the superinjunction was in place for too long - Secrecy denied affected Afghans the chance to take steps to protect themselves and their families and caused delays to evacuation program - Thousands of Afghans eligible to come to Britain are still trapped in Afghanistan with the government failing to explain how they will help get families to safety. MPs have called on the government to publish periodic reassessments of the risks facing Afghan applicants to UK resettlement schemes, with officials to report findings annually. They also want ministers to publish a clear policy explaining how they will help Afghans who are eligible to come to Britain but who have not yet been evacuated. The defense committee have also called on the MoD to explain who was responsible for data protection risk before the Afghan breach, criticizing the lack of accountability within the civil service.

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Google's Gemini Can Now Stomp Around as a Humanoid Robot

Google DeepMind's Gemini Robotics 2 combines vision, language, and action models to control multiple types of robots, including humanoids performing tasks such as organizing shelves, tying bags, and replacing lightbulbs. "It's another milestone in our path towards really getting towards what we call like physical AGI, which means we get a robot to do anything that a human can," Carolina Parada, head of robotics at Google DeepMind, tells WIRED. From the report: Gemini Robotics 2 combines several different AI models into a single system. Taken together, they allow a robot to make sense of its surroundings and how to act in it. A vision language model (VLM), which understands images and video, can communicate with humans and reason how to perform different tasks. Two vision language action (VLA) models, trained to understand how to move in physical space, control the robot's full-body movement as well as the movements of grippers or hands. In video demonstrations shared ahead of the release, the company showed several different robots performing complex tasks autonomously using the amalgamated model. In one demo, Apptronik's Apollo 2 robot used hands from a company called Sharpa to tidy shelves. Google DeepMind trained the model to perform these tasks using a mix of human teleoperation, video examples, and simulations -- it's not yet possible for AI models to perform a wide range of complex tasks without specific training. [...] Parada says Google takes a multi-layered approach to safety, with guardrails applied on each model layer. It's also introducing ASIMOV-Agentic, a new benchmark for measuring the safety of various AI systems collaborating to control a robot. The benchmark detects whether a command will result in harmful or uncertain outcome.

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Manufacturers — are you still managing orders, inventory and production across Excel + WhatsApp?

I’ve been looking at how small and mid-sized manufacturers manage their operations, and a common problem seems to be having enquiries, orders, inventory, production and dispatch spread across different tools.

We’ve been exploring what a manufacturing-specific CRM/management system could look like:

Enquiry → Quotation → Order → Inventory → Production → Dispatch → Payment

With inventory tracking, suppliers, production status, order management, invoices and reporting connected in one place.

I’m with GLAD Studio, and we build custom business software, but I’m particularly interested in hearing from manufacturers:

What’s the #1 process in your business you’d want such a system to automate?

Would also be interesting to know what you currently use — Excel, ERP, custom software, or something else?

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