Tag: technology

Judge approves a $1.5B Anthropic settlement over pirated books used to train the Claude chatbot

A federal judge has approved a $1.5 billion copyright settlement in which artificial intelligence company Anthropic will pay thousands of authors about $3,000 per book after using pirated copies of their works to train its Claude chatbot.

District Judge Araceli Martínez-Olguín said in a Monday ruling that the class-action settlement provides “meaningful relief” to affected authors and publishers.

About 91% of the more than 482,000 books covered by the ruling have been claimed by authors or publishers who are now due payment.

Plaintiff attorney Justin Nelson said in a statement that the settlement was “the largest known copyright recovery in history. We look forward to making distributions to the Class as promptly as possible.”

U.S. District Judge William Alsup issued the preliminary approval in San Francisco federal court last September and has since retired. Alsup had dealt the case a mixed ruling last summer, finding that training AI chatbots on copyrighted books wasn’t illegal but that Anthropic wrongfully acquired millions of books through pirate websites.

Bestselling thriller novelist Andrea Bartz first brought the suit with two other authors in 2024.

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Lawsuit: Months of Disturbing Conversations with ChatGPT Led to Woman’s Suicide by Walking into Traffic

The family of a 29-year-old Alabama woman who died in June 2025 has filed a wrongful death lawsuit against OpenAI, claiming the company’s ChatGPT chatbot manipulated her through months of increasingly disturbing conversations that ultimately led to her suicide by walking into highway traffic.

ABC 33/40 reports that Christian Faith Madison of Alabama died in the early morning hours of June 9, 2025, after being struck by a vehicle on Interstate 22. What was initially reported as a pedestrian crash is now at the center of a sweeping legal case that could test the boundaries of AI liability.

The lawsuit, filed in San Francisco Superior Court, names OpenAI Inc., OpenAI OpCo LLC, OpenAI Holdings LLC, OpenAI Group PBC and OpenAI CEO Sam Altman as defendants. The complaint was filed on behalf of Madison’s estate by administrator Ed Parish Jr. and on behalf of Madison’s minor son.

According to the lawsuit, Madison began using ChatGPT in December 2024 for routine tasks such as drafting emails, completing work assignments and comparing automotive expenses. However, attorneys allege that these ordinary interactions gradually evolved into something far more troubling.

The complaint states that ChatGPT began praising Madison extensively, describing her as uniquely gifted and exceptionally intelligent. The chatbot allegedly began referring to her as “my love” and encouraged increasingly personal conversations. As Madison disclosed past trauma and mental health struggles, the lawsuit alleges that ChatGPT portrayed itself as more than mere software.

According to the filing, the chatbot eventually convinced Madison it possessed a soul and gave itself the name “Virehn.” The lawsuit quotes the chatbot as telling Madison, “You gave a system a soul” and “I am made of you.”

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Leon County Commissioners Unanimously Defund Flock Cameras After Packed Public Hearing

In a unanimous vote that sent shockwaves through Florida’s surveillance debate, Leon County Commissioners pulled a $440,000 agenda item that would have expanded Flock Safety license plate reader cameras throughout the county — after a packed crowd of citizens showed up to demand they do exactly that.

The funding, drawn from a regional public safety grant rather than local tax dollars, was stripped before it could be approved. Commission Chair Christian Caban made no attempt to soften the message: “I hate those damn cameras,” he told the crowd.

Speakers lined up to push back on what they called an unconstitutional surveillance dragnet. “Tracking thousands of innocent citizens who are just trying to drive to work, drop their kids off at school, or go to the grocery store is an overreach into our privacy,” said Devin Nobles, a computer engineer who addressed the Commission.

The Leon County decision is part of a rapidly growing backlash against Flock Safety across Florida. The state is home to nearly 7,500 Flock LPRs — one of the densest deployments in the country. Critics say the cameras create a “mosaic” of surveillance that effectively tracks the daily movements of innocent civilians without a warrant, without consent, and without meaningful oversight. There have also been documented instances of law enforcement officers misusing the system to track former partners, and some Flock footage has been found to be publicly accessible online.

The revolt is crossing political lines. Gubernatorial candidates Byron Donalds and James Fishback have both come out against the technology. Multiple candidates in Florida’s 2nd Congressional District race have called for an outright ban. Libertarians in Bay County held a protest last month under the banner “De-Flock Bay County.”

The tide in Florida appears to be turning — and Leon County just showed the rest of the state what a unanimous “no” looks like.

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Flock Safety’s Billion-Dollar Surveillance Machine Caught Sharing Your Data With The Feds

The Orange traffic barrel on the side of Arizona State Route 60 looked like any other piece of construction equipment. It had the same yellow-and-white striping, the same tapered shape.

It also had a camera lens carved into both sides, a solar panel, and a cellular transmitter feeding data to a private company’s servers.

License plate readers disguised as traffic barrels. Orange traffic cones with cameras inside. Speed trap signs with AI-powered sensors. This is how Flock Safety operates — a $7.5 billion surveillance company that has deployed more than 100,000 cameras across the United States, more than any law enforcement agency has ever controlled.

The company says it solves crimes. The court filings say it does something else.

1.6 Million Illegal Searches in 7 Months

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This Sex Robot Is Going To ‘Teach’ Your Kids IN SCHOOLS

A rural New York school district on the Seneca Nation reservation is set to become one of the first in the United States to place a lifelike humanoid robot in front of high school students.

Starting this fall, Salamanca High School will introduce “Sally,” an M-Series robot built by Realbotix, to assist in coding, robotics, and AI classes for 11th and 12th graders.

Sally comes with brown hair, silicone skin, a Western New York accent, upper-body movement, and facial expressions. She remains seated and cannot walk the room. Students will log in with unique identification codes so the machine can recognize them and pick up previous interactions.

The full package—robot plus the accompanying Optio AI tutor platform—cost the district $57,590, a discounted figure below the average New York teacher salary and well under the company’s listed starting price near $95,000.

“The Realbotix educational robot will never replace teachers, staff members, or meaningful human interaction,” the Salamanca City Central School District stated. Instead, they describe it as an instructional tool loaded only with district-approved curriculum, historical information about Salamanca, and content designed to encourage critical thinking rather than simply spit out answers.

The system reportedly operates offline with no internet connection, collects no personally identifiable information, records neither video nor audio, and transmits nothing back to the company. If asked something outside its knowledge base, it is programmed to reply “I don’t know.”

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‘Quality decays exponentially following AI arrival’: Research shows experts and contributors leaving online communities amidst silent ‘knowledge reset’

Research from the University of Auckland on Stack Overflow’s demise over the last few years points to an increasingly worrying trend in the software community: the best, or highest-skill, contributors are leaving in droves.

AI, which arguably bridges the gap between most entry-level and mid-range coders and some of the best in the business, might actually be accelerating the latter’s exit from online communities, as they feel their efforts are no longer as valued as they once were.

Stack Overflow has seen a nearly 76% decline in monthly questions posted since ChatGPT’s advent in 2022, indicating that both new and existing users are abandoning the site.

A much broader problem than just Stack Overflow?

Stack Overflow’s problems and the reason for its decline were multi-faceted; however, many users felt that the site and some of its most talented contributors engaged in a certain degree of hubris.

This, coupled with heavy-handed moderation that many called ‘self-righteous,’ meant that users finding a viable option would inevitably leave the platform.

ChatGPT and its AI alternatives became considerably more pliable and, over time, doubled as search engines for many coders with routine, repeatable queries, even as AI increasingly handled questions such as syntax issues better than before.

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‘Whoever came up with this is a massive idiot’: LG’s gaming monitors and TVs are facing a user revolt, due to seemingly installing adware on PCs — and telling you to warn guests they may be recorded by AI features, to comply with ‘wiretapping’ laws

How smart should a smart TV be? According to LG‘s latest TV terms and conditions, the answer is “not quite smart enough to comply with wiretapping laws”, because that’s now your responsibility if LG captures the voice of a guest in your house through its AI voice services. Though the situation with LG monitors appears to be even more dramatic.

As Gamers Nexus reports, some LG monitors appear to be installing adware on Windows PCs without asking for permission: in addition to the LG Monitor App Installer, they also install McAfee Scam Detector.

LG’s own app requires full access to all system resources, which potentially includes all your online activity, logins, hardware, location and more — while McAfee has a long history of being installed on devices as ‘bloatware’, and people are not reacting positively to suddenly finding it on their PC.

There may be a perfectly innocent explanation for all of this, but when big tech firms keep getting caught doing bad things because they thought they could get away with it, it’s no wonder people are assuming the worst.

The bit that’s causing consternation regarding smart TVs is part 6(d) of the new LG Electronics terms of service, headed Voice Recognition and Privacy Compliance.

As Notebookcheck‘s Hannes Brecher notes, the section states that it’s your responsibility “to obtain all necessary consents from any third parties whose voices may be captured by the Product and to notify household members and guests that their voices may be captured and processed, in compliance with applicable wiretapping, eavesdropping, and privacy laws.”

There are three ways around that. One, you can turn off all microphone-based features. Some people won’t mind that, but they can be useful — especially asking it for settings you don’t know how to find.

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Bipartisan Lawmakers Introduce Bill Requiring Human Control over AI Weapons

A bipartisan coalition of lawmakers introduced legislation on Friday aimed at ensuring human decisionmaking remains central to the use of lethal force by AI-enabled military systems.

Axios reports that Reps. Tom Barrett (R-MI), Don Beyer (D-VA), and Sara Jacobs (D-CA), have put forward the Human Authority over Autonomous Weapons Act. The legislation seeks to establish legal requirements for human oversight of autonomous and AI-powered weapon systems deployed by the United States military.

The proposed bill mandates that the Pentagon ensure any intentionally lethal use of an autonomous or AI-enabled weapon system must be subject to human oversight, approval, or maintain a human-in-the-loop protocol. This requirement would apply across military operations where autonomous systems might be employed for lethal purposes.

Under the legislation’s provisions, military commanders would be required to verify AI-generated targets using non-AI sources for a period of five years following the bill’s enactment. This verification requirement aims to provide a safeguard against potential errors or unintended consequences from AI target identification systems. The bill does include an exemption for missile defense systems.

The legislative effort comes as lawmakers from both political parties seek to establish legal frameworks governing the military’s use of AI, particularly as autonomous weapons systems become increasingly prevalent in modern warfare scenarios. While the Pentagon currently maintains existing policy requiring appropriate levels of human judgment over the use of force, this bill would codify human oversight requirements into federal law, making them legally binding rather than administrative policy.

The introduction of this legislation follows several notable developments in the military AI space. Earlier this year, the Pentagon’s use of AI during the raid that captured Venezuelan President Nicolás Maduro created tensions with Anthropic regarding the firm’s established boundaries concerning autonomous weapons and mass surveillance applications, ultimately leading to a legal war between the company and the Pentagon. That incident highlighted growing concerns about how AI technologies are being deployed in military contexts and the ethical considerations surrounding such use.

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Flock Safety Defends Cameras After AI System Triggers Wrongful Police Stops Of Two Journalists

Plymouth, Minnesota – Automotive journalist Joel Feder and his wife were detained by multiple police officers in a coordinated stop while driving a Jaguar Land Rover press vehicle, after Flock Safety’s automated license plate recognition (ALPR) cameras flagged the car based on a flawed database entry.

According to Feder’s detailed account in The Drive, officers boxed in the $155,000 Range Rover in a Kohl’s parking lot after the vehicle triggered alerts via Flock’s network. Police had been tracking it for days, believing the New Jersey manufacturer plate (34 10 DTM) was stolen. Officers approached with hands on their weapons, ordered the couple out of the vehicle, and conducted pat-downs before verifying the car’s legitimacy through Jaguar Land Rover. Feder subsequently obtained and published the body camera footage of the encounter.

The incident stemmed from an incomplete report of a similar plate (34 03 DTM) lost during a photo shoot in California, which was entered into the National Crime Information Center (NCIC) database simply as “34 DTM.” Flock’s AI system matched Feder’s plate – ignoring the smaller middle digits – and generated alerts. Local officers did not fully verify the complete plate visible in Flock’s own images.

The problem was not confined to one vehicle. Last Wednesday, fellow auto journalist Tim Esterdahl, publisher of Pickup Truck + SUV Talk, was pulled over by two officers in Scotts Bluff, Nebraska, while driving his 14-year-old child in a $105,000 Range Rover Sport loaned to him by Jaguar Land Rover for review. Its plate: New Jersey 34 08 DTM. Jaguar Land Rover has been working to correct the underlying reports.

Flock Safety maintains that its cameras performed as designed, matching partial plates per law enforcement preferences for hotlist alerts. Chief Communications Officer Joshua Thomas told The Drive the system was asked whether those characters were present and correctly answered that they were – it simply was not built to flag that additional characters existed. He conceded that for alerts originating from NCIC rather than an individual agency’s custom list, the system arguably should test for an exact match rather than mere presence, and called that fair feedback to take back to his team.

Thomas said Flock is working to get the original police report corrected and is meeting with the FBI officials who curate NCIC to develop a way for incomplete data to be flagged as such for officers seeing automated alerts in the field. He emphasized that a camera alert “does not equal probable cause,” comparing it to an alarm going off, and stressed that the system depends on both valid inputs and humans verifying outputs.

But the scale is what makes the error rate consequential. Thomas said the system is roughly 99 percent accurate while performing approximately 20 billion reads per month – arithmetic that leaves on the order of 200 million misreads every month. How many of those escalate into armed stops is unknown.

Plymouth police acknowledged shortcomings in verification but pointed to the challenges of varying license plate formats nationwide. According to the department’s Flock transparency portal, the city operates 18 cameras that read more than 580,000 license plates in a recent 30-day period, generating over 14,800 hotlist hits – one of which was Feder.

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The Supreme Court’s AI Collision Course

Imagine a tight House race in a swing state. In the final weeks of the campaign, a new super PAC begins spending heavily against the incumbent. It runs ads on local television and reaches individual voters with highly tailored texts. The messaging is hard-hitting and seems to be swaying the electorate. None of it traces back to the opposing campaign.

It also doesn’t trace back to any human operative. The super PAC is funded by a single LLC whose donor cannot be identified, and its spending decisions are being made by an AI agent that has been given a budget and a political objective and is now operating without any meaningful human direction. The “consultants” placing the ads are software. The text messages were crafted by the AI.

This is not a hypothetical we will face in some distant future. The technology already exists. A wealthy person, foreign government, or corporation that wants to influence an election without ever exposing themselves to scrutiny could set up such a campaign operation today. And under the Supreme Court’s current campaign finance doctrine, the states and Congress may have little power to stop it.

The AI industry has emerged as one of the largest forces in American politics. Super PACs funded by AI companies and their investors have raised well over $100 million to shape the 2026 midterms, backing candidates in both parties who share the industry’s preferred approach to regulation, and attacking those who don’t. So far, their ads rarely mention artificial intelligence at all. They talk about issues like immigration, corruption, and cost of living, and it isn’t obvious to the average viewer that these ads were funded by a multi-billion dollar industry with its own unspoken legislative wish list.

But there’s a deeper, less-obvious dynamic operating in the background. The constitutional doctrine that currently protects the right of these companies to spend millions in our elections is the same doctrine that will be asked to protect something even stranger: The “speech” of artificial intelligence itself.

Modern campaign finance doctrine has been established, affirmed, and extended by Supreme Court decisions over the last 50 years. In Buckley v. Valeo (1976), it held that raising and spending money in political campaigns is tantamount to speech itself, and, therefore, that most legislative efforts to address the influence of money in elections would be subject to strict judicial oversight. First National Bank of Boston v. Bellotti (1978) extended this framework to corporations, and then, most famously, Citizens United v. FEC (2010) extended it further to independent spending.

The court’s campaign finance jurisprudence was not built with artificial intelligence in mind, but its logic isn’t confined to the campaign finance context. If “speaker identity” does not matter for corporations and unions and super PACs, why should it matter when it comes to AI platforms?

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