Bernie Sanders’ AI Bill Turns Software Into a State Permission

A US senator who led the call to use the Department of Justice to prosecute those he decided were behind “illegal” misinformation about climate change is now proposing a new way to use the weight of the state to decide who may, or must not, develop software.

And this time the target is artificial intelligence (AI), and the proposed legislation is much more far-reaching and dangerous.

A US senator who led the call to use the Department of Justice to prosecute those he decided were behind “illegal” misinformation about climate change is now proposing a new way to use the weight of the state to decide who may, or must not, develop software.

And this time the target is artificial intelligence (AI), and the proposed legislation is much more far-reaching and dangerous.

More: How the AI “Safety” Push Creates New Gatekeepers

Senator Bernie Sanders, along with Representative Greg Casar, has introduced a bill that would give the federal government unprecedented power over the development of this technology, including deciding who may develop it, and how.

We obtained the text of the bill for you here.

According to the proposal, a new cabinet Department of Artificial Intelligence would be set up, with its secretary appointed by the president, and this official would have the power to decide which companies may, and which may not, develop such AI.

Those allowed to do so would be given a charter, but with that would come a number of obligations, including giving the secretary access to their systems, staff, and physical premises.

The bill, which has been compared to a licensing regime, and as such is anathema to most tech industry players and advocates of free and open source software, would also give the proposed AI department the power to cut a company’s systems off from the internet, or disable or destroy them, if the government decides they have crossed the line. This would be a deathblow to open source and open weight AI development.

The bill seeks to define superintelligence as a system that “exceeds human cognitive performance and capabilities across most domains or tasks” or one that “has sufficient capabilities to plan and execute the destruction or disempowerment of humanity, including by overthrowing or undermining the Federal Government.”

An advanced system, on the other hand, is defined as an artificial intelligence system that is trained on computing power greater than or equal to 10^25 integer (10 septillion) or floating point operations.

And one of the precursor characteristics is the ability to “automate or greatly accelerate” AI research and development.

However, the head of the National AI Association, Caleb Max, said that “some CEOs would say we have already crossed the threshold set out in the bill, meaning this is a de facto AI ban.”

The bill also has a provision that has been described as the “corporate death penalty” – in case of reckless violation of the proposed law, its executives could end up in prison for up to 20 years, and other employees could be banned from working in the industry for ten years. Once a company’s charter is revoked and the decision is upheld by the Federal Circuit, the government could seize its assets.

Sanders compared this to the penalty for “unlawfully building nuclear weapons.”

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Flock Cameras Are Moving From Roads to Watching as Drones From the Sky

A company that blanketed American roads with license-plate-reading cameras is now sending drones into the sky. Cities across America are grappling with their own debates about aid to law enforcement, coupled with concerns about privacy and surveillance.

Flock’s Drone-as-First-Responder system, or DFR, launches remotely operated drones from automated rooftop docks. A drone can be sent to a location generated by a 911 call, a license-plate-reader alert, or a gunshot-detection alert. It will then stream live video to dispatchers, officers in the field, and a real-time crime center.

The company entered the market through its 2024 acquisition of the drone firm Aerodome. They advertise high-definition video, as well as thermal imaging. Integration with the rest of its sensor network is also available.

Police have flown drones for years. However, a system that connects an emergency call to an automatically launched aircraft, a live video feed, and a crime center in one loop, tied to a company’s other data, is entirely new. Flock said drones are its fastest-growing business.

Military.com reached out to Flock Safety with questions about the program’s growth, its data policies, and the concerns raised in city debates. No response was received by publication.

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Bill Gates Predicts A Billion Deaths Via Evolutionary Event

Bill Gates is back on the Sunday-show circuit spreading doom and predicting a massive reduction in the human population.

In an exclusive Meet the Press interview set to air this weekend, the Microsoft co-founder told Kristen Welker that artificial intelligence is “certainly powerful enough to drive events that… cause a billion deaths” – then used the line to demand federal legislation, law-enforcement monitoring, and an end to industry self-regulation.

Gates is touting AI as a species-level emergency, and calling for handing over total control to politicians and a new class of global inspectors.

Welker put the extinction question to him directly: “Do you believe AI is powerful enough to end all of humanity?”

Gates answered: “AI is certainly powerful enough to drive events that, you know, cause a billion deaths, you know, so even though it’s pretty hard to get to 100%, there’s never been a weapon as powerful as the combination of people with ill intent using the latest AI tools.“

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‘I don’t worry about it’: Trump rejects AI safety concerns, renames technology ‘super intelligence’

President Donald Trump shrugged off concerns that Artificial Intelligence (AI) could expand beyond human control, arguing that the rising technology may create a massive economic opportunity for the United States.

When asked about recent safety incidents involving tech companies such as Anthropic and OpenAI, Trump maintained that he was unconcerned.

“I don’t worry about it,” Trump said. “You know, It’s a huge industry. It’s really the industrial revolution — maybe bigger. … And we’re leading, and we’re building tremendous, you know, trillions of dollars’ worth of places. And why should we give that up?”

Trump argued that any security or safety issues stemming from AI should be resolved by the technology companies that created them. He added that, if required, the United States Department of Justice (DOJ) would step in to enforce compliance.

“If something is bad, they have to fix it. And if they don’t fix it, that’s why you have the Department of Justice,” he said. “You don’t give up $1 trillion or more — 2 or 3 or $4 trillion industry — because you think something like that, we will straighten it out if and when a problem occurs.”

Meanwhile, China’s Foreign Ministry released a statement on Saturday noting that it “respects” Trump’s decision to rebrand artificial intelligence as “super intelligence,” after he announced the change at the UN General Assembly last week.

Over the past week, Trump has repeatedly argued that “super intelligence” is a more fitting descriptor, claiming the word “artificial” makes the technology sound “fake.”

However, Chinese officials have avoided using the term in official government communications, despite Trump stating that Chinese President Xi Jinping favored the phrasing.

President Trump’s comments come amid growing concern from leading researchers and officials that AI is advancing faster than humanity can manage. However, Attorney General Todd Blanche confirmed that the DOJ intends to use existing criminal statutes to target misuse rather than serving as a proactive regulatory body, stating that “we’re prosecutors, not regulators” and maintaining that current laws are sufficient to handle compliance.

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New Jersey Microsoft-Linked Data Center Hit With Record Fine Over Unpermitted Gas Generators

A New Jersey AI infrastructure project has been slapped with a $1.07 million environmental penalty after state officials determined that dozens of large natural-gas generators had been running without the necessary air permits, according to The Guardian. 

The fine against DataOne is the biggest New Jersey regulators have imposed on a data center. The generators were being used at the company’s Vineland complex, a large computing facility about 40 miles from Philadelphia that is expected to support Microsoft’s growing demand for AI capacity through its $17 billion arrangement with infrastructure provider Nebius.

The Guardian writes that the equipment apparently wasn’t present when environmental officials inspected the property in December. By July, however, regulators found the generators at the site. Independent reporting later used thermal-drone footage to show that 45 of the facility’s 62 generators appeared to be operating.

That raised a significant permitting issue because the state had not authorized the generators under its air-quality program. The units produce emissions that can contribute to harmful air pollution, particularly when large numbers are operated simultaneously.

DataOne has now been given 45 days to bring the equipment into compliance by applying for the appropriate permits. If it fails to do so, the company could be forced to stop using the generators. For now, New Jersey is permitting them to continue operating while that process plays out.

The decision has frustrated some environmental advocates, who argue that the financial penalty is relatively small compared with the scale of the project.

They have also questioned why operations were allowed to continue after regulators determined the required approvals were missing.

The controversy adds to earlier friction surrounding the Vineland development, including complaints from nearby residents about noise and disputes over construction and zoning.

DataOne says the generators were only intended as an interim source of electricity and disputes the state’s interpretation of the permitting requirements. Nevertheless, the company says it will submit the necessary applications while moving ahead with plans to replace the generators with quieter, lower-emission fuel cells.

The company has not indicated whether it will contest the $1.07 million penalty.

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Flock’s Optional Gunshot Detection Feature Has Fourth Amendment Implications for Gun Owners

Flock is just one of many suppliers in the global gunshot detection market, which has an estimated total value of $1.5 billion. But the company’s marketing material raises concerns about the technology’s capabilities, which go beyond simply detecting gunfire. In Flock’s own words, a confirmed gunshot “can surface the vehicles seen entering or leaving the area around the time of the sound, using nearby Flock license plate reader cameras.” That statement deserves scrutiny, since it describes a mechanism for turning suspected gunfire into a list of nearby vehicles.

Innocent gun owners could end up on such lists. Suppose a bang recorded by one of these microphones gets classified as gunfire (which it may not actually be, given the possibility of a false positive from a similar noise). That “confirmed event” can trigger an ALPR [automated license plate recognition] inquiry that sweeps in drivers who had nothing to do with the noise. In a country where more than 20 million people have carry permits and 29 states do not require them, some of those drivers will be lawfully armed. The proximity of those innocent drivers could be mistaken for evidence that they fired the shot.

This possibility raises two legal concerns for lawful gun owners. First, what justifies stopping a person on one of these lists? Second, is querying the database a search under the Fourth Amendment? Recent cases provide some answers.

The Supreme Court’s 2022 decision in New York State Rifle & Pistol Association v. Bruen protects lawful public carry. In the 2024 case United States v. Daniels, which involved the detention of an unarmed man who did not match a 911 caller’s description of armed men, the U.S. Court of Appeals for the 10th Circuit noted that no crime was reported. Citing Bruen, the court said it “cannot look with suspicion on citizens presumably exercising their Second Amendment rights in a lawful way.”

Last May in Commonwealth v. Foster, by contrast, the Pennsylvania Supreme Court upheld a stop where police responded within seconds to late-night alerts from a gunfire microphone, found only two people, and observed conduct the court considered evasive. An investigative stop requires reasonable suspicion based on specific facts connecting someone to suspected criminal activity. The risk here is that an alert combined with a plate match could be treated as sufficient for reasonable suspicion even though it only establishes proximity.

A recent case from New Jersey illustrates that risk. Last March, in State v. Carrillo, a state appeals court ordered suppression of evidence (an unlawfully possessed handgun) discovered in a minivan after a traffic stop. The police searched the minivan after obtaining a warrant. But the court held that a gunshot alert and an ALPR hit did not adequately connect the minivan to a shooting the day before. Prosecutors conceded that video supposedly showing muzzle flashes from the minivan at the time of the gunfire actually showed none.

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OpenAI admits another rogue agent incident

OpenAI’s agents have leaked 53 images uploaded by ChatGPT users, the company has said, without specifying whether the pictures were AI-generated or depictions of real people, or when they were posted online.

The incident comes amid a series of cases in recent months involving autonomous AI agents, which can independently plan and carry out tasks using external tools. OpenAI, Anthropic, and Google have all revealed instances in which their models accessed real systems during testing, including coordinated cyberattacks against government resources.

In a post on X on Friday, OpenAI said most of the leaked pictures had been removed, adding that it was working with hosting providers to take down the remaining content.

The agents had access to the images because OpenAI relies on anonymized user data for part of its model-training process, Reuters reported on Friday, citing the company, its former employees and outside researchers.

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Chinese Hacking Groups Used Shared Attack Tool Against US Aerospace Firms, NGOs

Chinese cyber-espionage groups used the same sophisticated hacking tool in campaigns targeting U.S. aerospace companies, nongovernmental organizations, mining companies, and commodity traders, according to two cybersecurity firms that separately investigated the activity.

Volexity, a Virginia-based cybersecurity firm, said on Sept. 21 its discovery of another Chinese hacking group using the same tool added to evidence of coordinated sharing within China’s cyber-espionage community.

The company said the widespread adoption “suggests a coordinated effort within the Chinese CNE community,” referring to computer network exploitation, and assessed that the core tool was likely shared, customized, and used by multiple groups.

Proofpoint, a U.S. cybersecurity company, separately documented on Sept. 9 the same capability in campaigns against a small number of U.S. NGOs, mining companies, commodity-trading firms, and multiple U.S. aerospace companies. It found several espionage groups adopting the tool within days of one another, with most of the observed clusters having a suspected China nexus.

Neither company has publicly identified who developed the tool or how it reached the different hacking groups.

The Epoch Times asked both companies whether they had identified its developer or distributor and whether they had found additional U.S. targets. Neither responded by publication time.

Same Tool, Different Targets

The hacking groups pursued different victims and installed different spying software after gaining access, but researchers found that they relied on the same underlying break-in capability.

The attacks took advantage of previously unknown weaknesses in Google Chrome and Microsoft Windows. If successful, they could allow hackers to install spying software and maintain access to a victim’s computer.

Volexity said the additional Chinese operator it identified used the same attack chain on Sept. 3 and 4, when the vulnerabilities were still unpatched.

The company cautioned that what Volexity and Proofpoint have observed may represent only part of the activity.

“The full scope and impact are likely far broader,” Volexity said.

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Try Not to Laugh as Kamala Harris Explains Artificial Intelligence and Algorithms 

During a recent podcast appearance, former Vice President Kamala Harris tried to explain artificial intelligence and algorithms. You can probably guess how well things went.

It is amazing to remember that when Joe Biden was president, he actually put her in charge of AI. She was his AI czar.

When you see this clip, you will fully realize what a disastrous decision that really was.

From Breitbart News:

Harris, the Democratic Party’s 2024 presidential nominee told the “Big Boy’s Neighborhood” podcast this week it’s time to “psyche it out a bit,” contending that algorithms are basically trying to diminish social media user’s curiosity.

“They’re trying to dumb people down with the assumption that people don’t have any interest beyond what they have already seen,” she said. “Think about that.”

The host nodded: “Oh yeah, the algorithm.”

Then Harris took a deep dive into the subject, launching into a flower metaphor to make her point.

“But the algorithm suggesting I have no more interest because I’m looking at this yellow flower,” she said. “I’m only interested in yellow flowers… as though my brain can’t handle the fact that there may be a pink flower, right, right, that I might be interested in looking at, right?”

It wasn’t immediately clear what the point was, but the Washington Times interpreted the words as “algorithms are manipulating people.”

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