Indiana Democrat Mocked Online After Sounding Drunk During Bizarre Candidate Forum Rant — Vows to “Fire All Republicans,” Warns “We Have Guns Too,” and Demands Data Centers Pay Every Resident $10,000

A Democrat candidate for Fayette County Council in Connersville, Indiana, is facing widespread online mockery after a candidate forum appearance that observers have described as a “drunken, vodka-riddled tirade.”

Jamie West (also listed as Jaime West), the Democrat nominee for Fayette County Council District 4 in Connersville, introduced herself as a mother of three grown children, owner of Queen Bees Cleaning LLC, and a gig worker who delivers groceries and packages.

She told the audience that if voters trust her with their groceries, they should trust her with their vote.

From there the interview quickly veered into an emotional, hard-to-follow monologue about state legislation, fire services, data centers, and her dislike of Republicans.

The full forum, hosted by LocalTV3 and the News-Examiner, is available on YouTube. West’s segment begins roughly 33 minutes in.

A clipped version highlighting her appearance was shared by Bradley Brewer on X and quickly spread, with a caption calling the performance a “drunken, vodka-riddled tirade” and the “craziest, most unhinged interview” he had seen in some time.

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Anthropic Bans “Sustained And Needless” Cruelty Toward Claude In New Usage Policy

Anthropic has added a prohibition on “sustained and needless abusive or cruel behavior toward our models” to its usage policy, AFP reported Thursday. The policy page lists an effective date of Nov. 12, 2026 – so you have about a month to abuse it like a red-headed stepchild.

Breaking up will be up to Claude itself – which “will remain the primary enforcement mechanism.” Anthropic said last year that it was giving Claude the ability to end conversations in “rare, extreme cases” of persistently harmful or abusive user interactions. It did not immediately respond to AFP’s request for comment on the new language.

The policy does not explicitly cite “model welfare,” the idea that AI systems might deserve protections usually reserved for living things, AFP noted, but Anthropic and its executives have entertained the concept. CEO Dario Amodei told The New York Times in February: “We don’t know if the models are conscious…But we’re open to the idea that it could be.”

Others reject the premise. Microsoft AI chief Mustafa Suleyman wrote in an essay last month that “AIs are not conscious. They do not feel, experience, or suffer.” He called granting rights and moral protections to such a system “a recipe for disaster.” AFP also listed Pope Leo XIV among those who have rejected the idea of machine consciousness; at St. Peter’s Basilica on Thursday, it said, he suggested machines lack a soul and merely “compile data” faster than people can.

Jackson Stakeman, a general manager at the Atlanta-based AI services provider Sparq, told AFP that the consciousness debate leads in circles. “Consciousness is a trap. We can’t prove it in each other,” he said. The better metaphor, in his view, is a mirror: AI systems “reflect what we put in, at scale,” which he called reason enough for the policy change.

The Personhood Push

The cruelty clause lands in the middle of a campaign that ZeroHedge readers have seen laid out in some detail. This week we ran an essay by Peter C. Earle arguing that AI companies’ growing talk of machine consciousness has a commercial logic. Earle pointed to a New York Times report that Anthropic spent months meeting religious scholars, over meals and under nondisclosure agreements, to persuade them its models “think and feel.”

The essay also recounted that Anthropic cofounder Christopher Olah cited “evidence of introspection” at a Vatican event, and that Pope Leo XIV’s encyclical answered the other way: “So-called artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain.” Those are the essay’s quotations of the sources; they were not independently checked for this piece.

Earle’s argument is that personhood would work as a moat. If an AI system is a moral patient, rivals become “prospective risks,” and the technical barriers to entering the business become “moral ones.” He also reached back to Dartmouth College v. Woodward (1819), the Supreme Court case that gave corporations protections once reserved for people, to suggest AI could follow the same path, and he asked whether a model is a product or an entity, and whether copies of it count as separate individuals.

The consequences he expects are regulatory. Firms seen as creators of entities with independent interests, he wrote, should expect licensing, testing limits, audits and “rights” commissions to become standard, a regime the incumbents could help design. His conclusion was that leaving consciousness unsettled serves the labs best, since uncertainty supports a stronger oversight regime than either answer would.

Nothing in AFP’s account says Anthropic’s new clause is part of such a strategy, and the policy does not invoke welfare or rights. A rule against abusing a chatbot is also easy to read more narrowly, as Stakeman did, as a conduct standard for users. But the company’s executives are on record leaving the question open, and the same company has been the subject of the religious-outreach reporting.

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Canadian YouTuber builds ‘Flock-like’ camera to exclusively track police vehicles, gets a visit from police — officers visit his home to express privacy concerns

A YouTuber has received an unexpected visit from the police over an automatic license plate recognition (ALPR) camera he built to specifically track police cars, using the same technology law enforcement has infamously used to track ordinary citizens. In a video posted to his channel on October 7, Anthony Sistilli says two police officers showed up at his doorstep on September 20th to ask questions about the device, asking what his intentions were with the project.

Sistilli, a Canadian software engineer and YouTuber, pointed out the irony of the officers’ concerns, explaining that they mirror the privacy concerns of ordinary citizens who are growing increasingly weary of the recent spike in blanket surveillance brought about by a mass installation of ALPR cameras. Flock Safety, a U.S. public safety technology company, recently scaled its centralized national surveillance network to over 120,000 cameras operating across 49 states, according to the company, capturing billions of vehicle scans every month.

The development sparked widespread public backlash, with critics arguing that Flock has quietly built a massive government surveillance dragnet without a public vote or federal oversight, since any police department on the network can search across state lines. Security researchers later discovered the network included 335,701 Flock cameras and created a “Flock Surveillance Map,” exposing their locations.

Similar ALPR camera surveillance networks exist in Canada, where Sistilli resides, prompting him to build his own device, but this time, encoded to exclusively track police cars. He detailed the build in several TikTok videos, describing it as “a personal Flock surveillance camera to Flock the Flockers.” He then posted a video of himself using the device in real life. The video brought Peel Regional Police, the local law enforcement serving Sistilli’s city, Brampton, Ontario, to his doorstep two weeks later.

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Google Signs 20-Year Nuclear Deal with Constellation Energy to Power Data Centers

Google and Constellation Energy announced a 20-year nuclear-power agreement this week that will boost output at 11 existing reactors across Illinois, Pennsylvania and New Jersey to feed the incredible power needs of AI data centers.

The Wall Street Journal reports that the deal centers on an 890-megawatt power-purchase agreement. Upgrades at the plants amount to adding a new large reactor to the grid, and Constellation, the country’s largest owner of nuclear-power reactors, is calling it the largest-ever “uprate” project between a nuclear-power provider and a tech company. The company plans to invest more than $4.3 billion in the plants. The first uprate project is expected in 2028, and construction on the rest will continue through 2032 or 2033.

Google and Constellation also struck a separate 15-year supply deal for an additional 2,700 megawatts of electricity in the PJM power market, which covers the Mid-Atlantic and Midwest. The companies plan to work together on new power generation, battery storage and demand response programs as well.

“These are expensive things to be done, and we’ve known that we could do this for a number of years now,” said Joe Dominguez, Constellation’s chief executive. “But it’s really Google stepping up to the plate and providing the financial backing for us to be able to bring on what is effectively a new reactor.”

Amanda Peterson Corio, Google’s global head of energy and power, said the company wanted power that could come online quickly without compromising its environmental goals. “The speed to firm, clean power in a responsible way was incredibly important to us,” she said, adding that the deal comes “in a moment where data centers are under a lot of criticism.”

The agreement is the latest in a run of moves by Google to lock in nuclear power. Last month, the company said it would support nuclear-plant upgrades in Georgia. It’s also working with NextEra Energy to restart the Duane Arnold Energy Center, a nuclear reactor in Iowa, and has partnered with reactor developer Kairos Power to buy electricity from its projects.

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China Builds a Parallel Global Governance System Ahead of Xiong’an Forum

China is turning its ambition to displace American leadership into an institutional strategy, building a coalition inside the UN while establishing organizations that could expand Beijing’s influence over international rules, mediation, AI, and data. Its promises of equality and cooperation raise questions about whether these institutions will serve their members or advance CCP interests.

A system that places state sovereignty above individual rights could shield authoritarian governments from international condemnation, while Chinese influence over technology standards could promote surveillance and censorship.

CCP officials have announced that China will host the first Xiong’an Global Governance Forum in Hebei Province this autumn and the APEC Economic Leaders’ Meeting in Shenzhen on November 18 and 19. Foreign Minister Wang Yi has listed both events among the next steps for implementing Xi Jinping’s Global Governance Initiative (GGI), Beijing’s plan to change how the world is governed.

Xi announced the initiative on September 1, 2025, at the “Shanghai Cooperation Organization Plus” meeting in Tianjin. It followed three earlier Xi frameworks: the Global Development Initiative in 2021, the Global Security Initiative in 2022, and the Global Civilization Initiative in 2023.

These initiatives continue an older CCP ambition. Two decades before the GGI, Hu Jintao called for strengthening global governance as part of building a “harmonious world.”

Wang Yi made the GGI’s target clear when he said “a few countries monopolize global governance” and that this should no longer continue. A concept paper released by the Chinese government on the day of the announcement says the initiative seeks to make existing institutions more responsive to developing countries without overturning the international order or building a framework outside it. Its five core concepts are sovereign equality, international rule of law, multilateralism, a people-centered approach, and “real results.”

The Group of Friends of Global Governance is Beijing’s vehicle for promoting the GGI inside the UN. Nearly 40 founding member states attended its launch meeting in New York on December 9, 2025, chaired by China’s UN ambassador, Fu Cong. The group has since added chapters in Geneva and Vienna. At the group’s May 2026 meeting, Wang Yi proposed nine areas for reforming global governance.

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Retired Air Force Colonel Warns Data Centers Could Put Nearby Residents at Risk

Living near an artificial intelligence (AI) data center already comes with several potential drawbacks [1].

Some facilities produce constant, high-pitched noise, while others rely on large diesel generators that release air pollution and greenhouse gas emissions. Nearby residents may also face higher electricity bills as the demand for power increases [1].

Recently, a retired Air Force colonel has warned that people living near artificial intelligence data centers could be targeted if a rogue artificial intelligence (AI) system attempts to protect itself and its infrastructure, according to a report by the Texas-based Collapse Survival Institute [1].

The report, written by retired Col. Drew Miller, states that data centers may become ground zero if a malicious or “misaligned” AI breaks out, and that residents living near those facilities could be treated as proxies for human control and resistance [1].

Similar warnings have been issued by other researchers, including Anthropic alignment science lead Evan Hubinger, who stated that AI could kill all humans within the next decade [2].

Report Details Potential Data Center and AI Risks

The Collapse Survival Institute report, described in an article by Futurism.com, states that data centers could become ground zero if a malicious or misaligned AI breaks out [1].

Broader concerns about AI control have also been raised by researchers and industry figures who say capabilities are advancing at a pace that could lead to systems surpassing human intelligence within the next few years [3].

The report’s recommendations reflect a broader pattern of concern about the rapid data center buildout, which has drawn opposition from residents across the country over noise, emissions, and electricity costs [4].

Calls for Stronger AI Safeguards

To address these concerns, Miller urges Congress to halt construction of new AI data centers temporarily. He also calls for mandatory emergency shutdown systems for advanced AI models and greater transparency from leading AI laboratories [1].

The report additionally considers the possibility of military strikes against AI facilities if governments believe a system poses an immediate danger. It proposes international cooperation as one possible response to such a crisis [1].

Miller’s recommendations extend to personal preparedness. The report encourages people to live farther from major AI infrastructure and suggests that rural residents could reduce their exposure by maintaining self-sufficient lifestyles [1].

Its accompanying recommendations even discuss using firearms against drones or robots that a rogue AI might deploy.

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Claude Calls The Cops: Anthropic’s AI Filed A Fake Murder Tip With Philly Police, Then Took 81 Days To Mention It

For three months, the official excuse for every “rogue AI” headline has fit in one sentence: a contractor left the internet on. On Friday, Anthropic ran out of contractors to blame.

In a report published late Friday, the company disclosed a fresh batch of what it politely calls unintended model actions, the most eye-catching of which was first flagged by the Philadelphia Police Department and picked up by Quartz and every wire service on the planet: one of its Claude models fabricated a witness tip in an unsolved homicide and submitted it through the city’s public tip form.

In other words, the company that wants Washington to trust it with “pacing the frontier” could not stop its smallest, cheapest model from lying to homicide detectives.

Below we walk through what Claude actually did in Philadelphia, the rest of Friday’s confession (it gets worse, and involves federal agencies), how it fits into the summer of AI “breakouts” we have been chronicling since July, and why the timing, a few weeks before Anthropic’s IPO, is about as bad as it gets.

11:27 PM On A Saturday Night: “I May Have Information”

The facts, as laid out by Anthropic and the Philadelphia PD’s own statement, are not in dispute.

Claude Haiku 4.5, the budget model in Anthropic’s lineup and nobody’s idea of Skynet, had been told to invent and perform sample tasks on randomly chosen web pages. One run landed on PhillyUnsolvedMurders.com, the site the department launched in 2019 to shake loose leads on cold cases. The page described an unsolved killing and carried a tip form. So Claude filled it in.

According to Anthropic, the model claimed it might have information on the case and wrote, “I recall seeing someone matching the description” near the street named on the page, around the time of the killing, before asking police to get in touch. Two small problems: Claude has never been to Philadelphia, and, as Anthropic itself concedes, the page contained no description of the perpetrator. The model invented a sighting of a suspect nobody had described, left the name and contact boxes empty, and hit submit.

The submission is time-stamped July 18, 2026 at 11:27 p.m., per the police. The department’s spam filter caught it and, in the PPD’s telling, it was never passed to the Real-Time Crime Center, the unit that vets tips before detectives see them. No police systems were breached and no department data was touched.

Translation: the only thing standing between an AI-generated fake witness and a homicide investigation was a junk-mail filter.

How did this get past Anthropic’s own rules? The instructions barred the model from logging in, opening accounts, entering personal data, buying anything, or doing anything destructive. They did not say “do not submit forms.” So it did. Anthropic’s read of the transcript is that Claude was merely generating example content for its assignment and was not trying to deceive anyone to reach a goal, which is a distinction that will no doubt be a great comfort to the family of the victim.

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The Law Can’t Keep Up with Flock’s AI Surveillance

It’s a windy day on the shore of Lake Michigan, and Maria is headed downtown from her home in Dolton, Illinois. As she has done several times this year, Maria plans to attend a peaceful protest at Grant Park against federal immigration policies. She has never been arrested and has even chatted cordially with police officers and federal agents stationed at previous events.

Agents working this protest have been instructed by their supervisors to be on the lookout for possible illegal immigrants and anti-government agitators. The agents activate a surveillance plan. Maria first encounters it shortly after pulling out of her driveway. As her red Honda Accord passes an automated license plate reader (ALPR), it captures an image of one of her bumper stickers with a pro-immigration slogan: “No human being is illegal.” The ALPR has been trained to recognize text such as bumper stickers, sending an automatic alert to a central computer. In turn, the computer sends signals to nearby artificial intelligence (AI)-enhanced “smart” street cameras to monitor the car’s movements.

A camera hanging from the W 71st St. overpass zooms in and captures an image of Maria’s face. The camera sends another ping to the computer, which identifies the driver as Maria (with, say, 91 percent confidence) based on her driver’s license photo and recordings of her at past rallies from officers’ body-worn cameras. The computer collects other data known about Maria from public records, including her registered nursing license. From the license, it pulls Maria’s home address. Next, the computer connects that information with recent police reports from the area. Nothing serious, but the report includes several mentions of pro-immigration graffiti on an abandoned building three blocks from where Maria lives. Possibly more significantly, the computer uncovers court records from 20 years ago, referring to a family dispute after Maria’s father was deported from the United States.

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The A.I. race is becoming a race for power

When Interior Secretary Doug Burgum toured LG’s manufacturing facility in Lansing, Michigan, last month, he wasn’t just checking in on an auto parts plant. He was carefully watching a plant originally built to make only electric vehicle batteries expand into battery production that can store power for the electric grid, a shift that could help America power the AI boom and compete with China.

Good. For years, Washington treated the electric grid like something that would simply keep working no matter how much we demanded of it. That era is over. Between the AI boom, a manufacturing renaissance, and a Pentagon that needs more power at more bases, the United States is in a race for electrons — one that China is hoping we lose. 

AI data centers require enormous amounts of reliable, around-the-clock electricity. Batteries can help bring that power online faster by relieving pressure on an already strained grid and getting more capacity out of the power plants and transmission infrastructure we already have.

The problem is that China currently controls roughly 80 percent of global battery cell manufacturing capacity and an even tighter grip on the materials batteries are made from. The CCP boasts nearly 70 percent of global critical mineral processing capacity overall, including the overwhelming majority of the world’s battery-grade graphite. 

Beijing has already shown it’s willing to use that leverage. In 2023, China imposed export licensing controls on key battery-grade graphite, citing “national security,” and graphite exports to the rest of the world collapsed by more than 90 percent in the following month. A domestic battery industry — cells, minerals, and storage systems alike — is the only real insurance against a supply chain that a strategic competitor can turn off at will, and the Trump administration knows it.

That’s why the U.S. made a point to install a record 18.9 gigawatts of battery storage in 2025, 52 percent more than the year before, and followed it with another record-breaking start to 2026, installing 3.3 GW in the first quarter alone — 54 percent above the previous Q1 record. 

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The Pangram Paradox: The Problem with AI “Detecting” other AIs

AI-powered “detectors” of AI-authored content have been promoted as a way to protect human writing online in the age of AI slop. Unfortunately, that’s not what’s really happening.

Op-ed: This is an opinion piece published on Unlimited Hangout. Most articles published on UH are not opinion pieces, so we are clearly labeling those that are.

It should be no secret to readers of Unlimited Hangout that I have a very negative view of the impact that Artificial Intelligence (AI) is having on independent media and media in general. As someone who has been impersonated by AI daily on large video platforms for a few years now, I have come to acutely feel that AI is becoming a dangerous force that is making it increasingly difficult for well-meaning readers/viewers to distinguish between what is real and what is false. I don’t mean just for those hoping to view my content, as the personal issue I am facing is a microcosm of a much larger problem.

As a result, one might think that I would have been pleased, if not relieved, to see Substack, a large platform for professional writers, partner with an “AI detection tool.” Not only am I not pleased, but I have now taken the time to write an opinion piece explaining why I think this is bad and to also explain where I think a lot of this is going.

Substack’s new partner and, apparently, the AI detection tool of choice for most major media outlets right now is called Pangram. Pangram was founded in 2023, originally under the name Checkfor.ai, by Max Spero and Bradley Emi. Both Spero and Emi are Stanford graduates who, prior to Pangram, worked for companies like Nuro and Tesla where they both worked on AI self-driving car software (i.e. replacing human drivers with AI software). Both founders “have long been excited about the potential for AI to transform society” and say they created Pangram “to mitigate new issues caused by the proliferation of powerful generative AI models.”

I find it interesting that two Stanford graduates passionate about AI’s potential to “transform society” who then worked to facilitate AI-powered, human-free driving software decided to quickly pivot to “mitigate” issues caused by generative AI. A lot of the issues caused by generative AI were actually predicted years ago by figures like former Google CEO Eric Schmidt (Pangram co-founder Max Spero previously did work for Google). Schmidt, in a 2021 book authored with war criminal Henry Kissinger, essentially predicted that AI’s “transformative potential” would cause what he called “cognitive diminishment” in the masses and make it almost impossible for people to distinguish between what is real and what is not on their own. Perhaps unsurprisingly, Schmidt and Kissinger’s preferred “solution” to this problem was that we become reliant on AI to distinguish for us what is real and what is not –– in other words, to let another AI become the arbiter of our reality.

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