Tag: technology

Second Largest US Grid Operator Proposes Reliability Rules For Data Centers

The Midcontinent Independent System Operator – the second largest US grid operator after PJM Interconnection – on Friday proposed a set of requirements large loads must meet before they can connect to the grid, including ramping and ride-through specifications.

The “interconnection reliability requirements” framework aims to improve MISO’s visibility into large load “characteristics and behavior, support reliable planning and operational decision-making, and establish scalable and technically justified expectations proportional to demonstrated reliability risk,” the grid operator said in its filing with the Federal Energy Regulatory Commission.

The proposal is a part of MISO’s response to FERC’s mid-June “show cause” orders requiring major grid operators to set rules that meet certain criteria for adding data centers and other large loads to the grid. MISO said it plans to make additional proposals by a Nov. 16 deadline.

MISO’s proposal follows similar actions at the Electric Reliability Council of Texas and the PJM Interconnection aimed at setting reliability standards for large loads after several incidents where data centers suddenly tripped offline, raising concerns about grid stability.

On average, electric demand was relatively flat between 2009 and 2024, growing by about 0.5% a year, MISO told FERC. Now, the grid operator expects 1% to 2% annual growth through 2044, with higher growth rates in the near term, according to MISO, which runs the grid and wholesale power markets from Louisiana to Minnesota.

MISO’s proposal defines “large loads” as those larger than 50 MW, and “computational loads” as large loads that include at least 25 MW of demand from information technology equipment, such as servers, storage and networking hardware.

The separate computational load classification will allow MISO to target certain requirements just to data centers, the grid operator said.

“Computational loads may exhibit rapid and coordinated changes in demand, significant power-electronic behavior, and distinct responses to transmission system disturbances,” MISO said.

MISO’s proposed reliability framework sets requirements for its transmission customers that take service on behalf of large loads. It covers four main areas:

  • Visibility requirements

To improve MISO’s visibility into large loads on its system, transmission customers must provide MISO with basic information and modeling data on large load facilities, according to the proposal. They must also provide real-time and day-ahead load forecasts for the facilities.

The information is needed “to support planning studies, operational assessments, and accurate representation of large loads behavior and system impacts,” MISO said.

  • Phasor Measurement Unit requirements

The PMU requirements set monitoring expectations for computation loads through high-resolution, time-synchronized measurements, according to MISO.

“PMU data provides MISO with greater visibility into facility behavior during system disturbances and rapid operating changes, supporting model validation, performance verification, disturbance analysis, and identification of potential dynamic interactions with the transmission system,” MISO said. 

  • Ramp requirements

MISO said its proposed ramp requirements address the rate at which computational loads may increase or decrease electric use during stable-state transitions. 

“Managing rapid changes in demand helps reduce real-time supply-demand imbalances, sudden change in transmission power flows, and associated operational impacts, while supporting more reliable system operation,” MISO said.

  • Ride-through requirements

The proposed measures set minimum disturbance performance requirements for computational loads during voltage and frequency disturbances to reduce the risk of unnecessary disconnection or customer-initiated rapid reductions in demands during system events, MISO said. 

MISO’s proposal includes grandfathering provisions to provide certainty to existing and nearly complete commercial arrangements for large loads. MISO asked FERC to let its proposal take effect on Dec. 4.

MISO plans to file additional large load-related proposals, including for additional transmission products and associated study processes, protections against cost shifts and the treatment of generation service to “electrically proximate” large loads, MISO said.

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Elon Musk’s G20 Prediction: 1 Billion Humanoid Robots Will Outproduce All of Humanity in 10 Years

Elon Musk addressed a virtual session of the G20 yesterday, laying out predictions on AI, humanoid robots and regulation. According to Musk, within 10 years, 1 billion humanoid robots will outproduce all of humanity.

CNBC reports that Musk covered four topics: power constraints on AI, the technology’s economic potential, humanoid robotics, and how governments should regulate emerging tech.

Robotics is where Musk got more specific about mechanics. He described humanoid robot usefulness as the product of three factors: AI software, the onboard AI chip, and electromechanical dexterity, particularly in the hands. All three are improving exponentially, he said. Once robots start manufacturing other robots, growth turns recursive: slow at first, then explosive. He called his own ten-year forecast conservative, projecting well over a billion humanoid robots, each roughly five times as productive as a person. Combined, that fleet would outproduce all of humanity. This physical layer, he argued, not the digital economy, is where he expects overall economic output to grow by a factor of ten or more.

On power, Musk cited a consensus estimate that AI chips will face a shortfall of at least 15 gigawatts by 2027. AI chip production is climbing roughly 40 to 50 percent a year, he said, while power generation outside China grows only about 10 to 20 percent annually. That gap, in his view, is what actually limits the industry’s growth, not chip supply itself. Musk said Google, Anthropic and other companies are now leasing computing capacity from SpaceX, which built its own power plants to bring capacity online quickly. China has abundant electricity, he noted, but is blocked from importing the latest chips under GPU export bans. His advice to other countries: build out power generation, host AI data centers, then tax them or charge fees for the privilege.

Musk put a number on the economic upside too: a 20 to 30 percent boost to the global economy from digital AI alone, or roughly $20 trillion to $30 trillion a year. By the end of next year, he said, AI should handle any digital task that doesn’t require physically shaping atoms by hand. On software specifically, he predicted AI will reach “Stockfish-level” within about 12 to 18 months, invoking the chess engine as a benchmark and mentioning Magnus Carlsen, the five-time World Chess Champion, in the same breath. That same window, he said, applies more broadly to AI becoming extremely capable across engineering and other digital work. He also plugged X, the platform he owns, as the place where he said nearly all serious AI discourse happens.

On regulation, Musk’s position was that new technologies should be treated as legal by default rather than illegal by default. He pointed to the European Union as an example of heavy regulation that slows progress without stopping it. Using an image of young saplings against big trees in a forest, he compared startups to the saplings and incumbents to the established trees, arguing that most governments over-support the trees while starving the saplings. Large companies get access to political leaders that startups typically don’t, he said, and he thinks policy should be deliberately tilted toward young companies to correct that imbalance.

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The State Is Coming For Your Roomba

The federal government has discovered another menace to the republic: the vacuum cleaner.

In July, the Federal Communications Commission added foreign-produced “advanced robotic devices” to its Covered List, generally preventing new models from receiving the authorization needed to be imported, marketed, or sold in the United States. Although early headlines emphasized Chinese humanoid robots and mechanical dogs, Sean Hollister reported in The Verge that the rule also encompasses robotic vacuums, lawnmowers, delivery machines, and many warehouse robots. It potentially applies to almost any wireless, software-controlled ground robot weighing more than 4.4 pounds and capable of perceiving its surroundings.

This is not yet a confiscation campaign. Americans may continue using their existing vacuums, and retailers may sell models that were previously authorized. The prohibition falls principally on future foreign-produced models unless their manufacturers secure conditional approval. Yet the distinction makes the policy more absurd, not less. According to the Federal Communications Commission’s own fact sheet, the supposed security danger is serious enough to exclude new household products but not serious enough to affect previously purchased machines – or even purchases and use by federal agencies.

The security concerns are not imaginary. Sean Hollister himself had documented in an earlier The Verge article in February how a vulnerability in DJI Romo robotic vacuums allowed a researcher to obtain information from roughly 7,000 devices, including room maps, location data, and, in some circumstances, camera access and remote control. A machine carrying sensors through every room can plainly become an instrument of surveillance when its manufacturer handles data irresponsibly.

But a real problem does not vindicate every coercive response proposed in its name. The FCC’s rule does not primarily distinguish secure robots from insecure ones. It distinguishes foreign production from domestic production. Jennifer Pattison Tuohy observes in “The Ban on Robot Vacuums Won’t Make Them Safer, Only Worse” that a vacuum assembled in Massachusetts is not automatically more secure than one assembled in Shenzhen. The government is restricting where machines are made without demonstrating that domestic manufacture guarantees encrypted storage, responsible data retention, local processing, independent auditing, or competent software maintenance.

From a libertarian standpoint, the first question is not whether officials can imagine a danger. They can always imagine one. The question is whether the government may forcibly prevent peaceful adults from purchasing a product because bureaucrats believe that they have evaluated its risks better than the buyer has. A person owns his home, his money, and his network. He may sensibly refuse to place an internet-connected camera on his floor. He may instead purchase one after reading disclosures, disabling cloud functions, installing firewall rules, or deciding that the convenience exceeds the risk. That judgment belongs to the property owner, not to a federal licensing authority.

The Austrian case against the ban begins with consumer choice. In his explanation of the concept of consumer sovereignty, Robert P. Murphy explains that Ludwig von Mises regarded consumer spending as a continuing plebiscite directing entrepreneurs toward the goods people value. In a market, producers retain their position only by persuading customers. The FCC reverses that relationship. Consumers may vote for inexpensive Chinese vacuums, privacy-oriented American machines, offline models, or no robot at all – but only after Washington has removed the candidates it dislikes.

Ludwig von Mises described this mechanism precisely in chapter 39 of Human Action. Restrictive intervention forbids or makes more expensive particular methods of production, transportation, and distribution. It thereby eliminates means that people could have used to satisfy their wants. Government may redirect production, but it cannot conjure the factories, skilled labor, components, logistical networks, and accumulated knowledge that its decree assumes into existence. It can force robotic production away from locations selected through market calculation; it cannot guarantee that the replacement arrangement will be equally productive.

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Same Cage, New Landlord: How Axon is Replacing Flock Without You Noticing

Communities across the country spent the better part of two years fighting to tear down Flock Safety’s license plate readers, and in city after city, they won. Then, in the same council chambers where residents celebrated those victories, officials quietly signed even bigger checks to a company that builds the exact same surveillance apparatus, only this time it’s hidden inside the streetlight over your driveway.

Since January of this year alone, roughly 23 cities have canceled, rejected, or deactivated their Flock contracts, and close to 98 have done so since 2021, as residents raised alarms over warrantless tracking, indefinite data retention, and a vendor-run national database that agencies across the country could tap into without a warrant. Asheville, North Carolina became the latest flashpoint in late August, when its city council voted 5-2 to terminate the city’s contract and order every piece of Flock hardware removed from its streets, following a marathon public comment session and a public call from the mayor herself to shut the cameras down. Lansing, Michigan followed almost the same week, with residents packing council chambers to demand an end to what one described as adjusting his daily commute just to avoid being logged by the cameras. Cleveland’s safety committee, for its part, voted down a quarter-million-dollar Flock renewal outright after council members openly questioned whether the cameras made anyone safer at all.

By every surface-level measure, this looks like a movement winning. It isn’t. It’s a market-share transfer, and the company picking up the business is Axon, the Scottsdale, Arizona outfit better known for Tasers and police body cameras, which has spent the past year building a product engineered specifically to defeat the kind of organizing that just took Flock down. Axon calls it Lightpost, and unlike Flock’s freestanding poles, it clips directly onto a streetlight that’s already there, drawing power straight from the light’s own socket. No new poles. No trenching. No visible object for a resident to photograph, protest, or bring to a council meeting.

Axon’s own marketing describes it as a way to turn streetlights into real-time detection tools, combining license plate recognition, vehicle attribute recognition, and live streaming video into a form factor built for speed of deployment. A companion product, Axon Outpost, offers the same capability as a standalone unit that can be mounted on new or existing poles, buildings, vehicles, trailers, or even trees, and can run on solar power when no electrical hookup is available. Both feed directly into Axon Fusus, a platform that integrates footage from body cameras, squad cars, drones, and third-party cameras into a single searchable, real-time operational view for police departments.

The company building this doesn’t hide the fact that blending in is the point. Ubicquia, the infrastructure firm Axon partnered with to build Lightpost, markets the devices as mounting directly on existing streetlight infrastructure and blending seamlessly into the urban landscape, while avoiding complex permitting processes altogether. That single sentence is the entire strategy laid bare. Flock’s cameras became targets because they were visible, arguable, votable things sitting on a pole at an intersection. A camera hidden inside the fixture that already lights your street at night isn’t something most residents will ever notice, let alone organize against, and that is by design rather than accident.

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Governor DeSantis Revokes Permits For Flock Cameras On Florida State Highways

Florida Governor Ron DeSantis has ordered the removal of all Flock Safety automated license plate reader (ALPR) cameras from state highway right-of-ways, citing privacy, data, and systematic surveillance concerns.

The Daily Caller reports that DeSantis ordered all Flock cameras to be removed from the “state highway system,” including interstates such as I-10 and I-75, within 30 days, in a Florida Department of Transportation (FDOT) memo on Monday.

According to WCTV, the order specifically targets cameras on state-owned roads, including major interstates like I-10 and I-75 but does not automatically ban cameras operating on local city or county roads, nor does it impact devices installed on private or commercial properties.

Local law enforcement agencies will have 30 days to remove the hardware and if they fail to comply, FDOT will remove the cameras independently.

DeSantis remains supportive of law enforcement but acknowledged that growing evidence of camera misuse has raised legitimate concerns about government surveillance.

During a press conference last Wednesday, DeSantis warned against allowing Florida to become a “surveillance state” and said, “I think people are right to be concerned.”

The Republican Governor stated:

But, you also have to say, okay, how could this be misused? And how could a private company misuse the data, but also law enforcement? We know there was an officer in Florida who was using the LPR data to track like an ex-girlfriend or something like that.

DeSantis called on the Florida Legislature to cement permanent regulations into law during the next legislative session and advocated for a comprehensive AI Bill of Rights to institute strict criminal penalties for data misuse and protect citizens from emerging digital monitoring methods.

Following the announcement, several sheriff’s departments, including those in Putnam, Liberty and Franklin counties, announced they would end their own license plate reader programs.

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Taiwanese Man Jailed After Using Robot Vacuum to Record Wife’s Affair

A Taiwanese man was sentenced to five months in jail and ordered to pay more than $4,700 for using a robot vacuum to secretly record his wife’s affair.

While the court ruled that the husband had violated his cheating wife’s privacy, the Taiwanese man also won a civil lawsuit, resulting in his wife and her lover being ordered to pay him thousands in compensation, according to a report by the South China Morning Post.

The Taiwanese man, whose name has not been made public, married his wife in 2021. In September 2023, he found a used toothbrush at their holiday home, prompting him to review security footage from a parking garage, which reportedly revealed an man driving his wife home.

Three months later, the husband remotely activated the robot vacuum cleaner inside the home, and discovered his wife engaged in an intimate encounter with another man via the robot’s live feed.

From there, he began recording footage of his wife’s affair in order to collect evidence he had planned to use later for a legal claim.

Video footage reportedly showed his wife changing her clothing, embracing the other man, and moving about the house naked while her lover lay on the sofa.

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Iran Targets Marine Barracks In Jordan, Sends Drones On Bahrain & Kuwait, After Trump’s New Strikes

Iran Targets Marine Barracks in Jordan, Drones Sent on Bahrain, Kuwait

Iranian state media is saying that the military retaliation is ongoing, with the Islamic Revolutionary Guard Corps (IRGC) Aerospace Force announcing that it launched a heavy ballistic missile attack targeting the US Marine barracks at Camp Titin, located near the Gulf of Aqaba in Jordan – which is at a significant distance, in the country’s far southwest corner. State media sources further detail:

According to the IRGC, the strike destroyed multiple military installations and attack helicopters, inflicting heavy casualties on U.S. forces. The operation was executed as the second wave of retaliatory actions under the code name “Ya Rasul Allah.”

And more via state WANA News Agency: “The IRGC stated that the action was carried out in retaliation for a U.S. strike on a residential home during a wedding ceremony in Sirik, which resulted in nearly 50 civilians killed or injured, including children.” Iranian claims of US casualties will as usual be hard to verify, but CENTCOM has said no casualties have resulted, per news wires:

US officials says no US casualties from Iranian attack on facilities in Jordan so far

In the wake of the US CENTCOM campaign, which may still be ongoing, Iran’s Hormozgan grid is under blackout. Further damage is likely to be assessed and publicized in the coming hours. Bahrain, Kuwait also targeted:

  • Iran’s army launched drone attacks on the US base in Bahrain, according to Fars News Agency
  • Kuwait Army says air defenses are confronting attacks by hostile drones
  • Jordan intercepts 10 ballistic missiles from Iran, three fell in remote areas: army

Initial unconfirmed footage now widely circulating of alleged IRGC attack on Jordan base…

Iranian Retaliation on regional Bases Begins

Iran is already hitting back, according to some early reports of what looks to be their latest retaliation, despite President Trump having earlier warned the Islamic Republic will be hit harder if it responds.

“If the failed Nation of Iran retaliates for this very justified attack, they will be hit again at a much harder and higher level, but it will not be the biggest attack of them all, that is waiting in the wings and, when it is over, there will be very little left of the Islamic Republic of Iran!” he stated earlier.

The White House indicated it is focused on taking out IRGC targets. But this has triggered the expected reaction:

  • Fars: Some Arab sources report that an explosion was heard in Jordan; several explosions were heard from American bases in Jordan
  • IRGC says US attacks will tighten the lock on the Strait of Hormuz
  • Explosion heard in Erbil, Iraq, reports Fars

The last tit-for-tat instances also saw US bases in Jordan targeted.

One Atlantic Council analyst points out the obvious – today’s action is yet another indication that the administration still does not understand how the Iranian government and leadership thinks (unless the intent is actual runaway escalation). Danny Citrinowicz writes:

Threatening Tehran with even more devastating strikes if it retaliates is unlikely to prevent an Iranian response. In fact, it may do the opposite. From Tehran’s perspective, failing to respond to a direct U.S. attack would undermine the very deterrence equation Iran has spent months trying to establish. The Iranian leadership believes it must demonstrate that American military action carries a price. That means Iran is likely to retaliate and it may even conclude that a broader or more painful response is necessary precisely to rebuild deterrence against future U.S. attacks.

This is the fundamental problem with Washington’s approach: it assumes that sufficiently strong threats will convince Iran to back down. But Tehran may draw exactly the opposite conclusion, meaning that backing down under threat would invite additional American strikes. Threats will not solve this problem. If Washington wants to prevent another cycle of retaliation and counter-retaliation, it needs a political strategy for ending the confrontation. Otherwise, each side will continue using force to restore deterrence after the previous round — creating an escalation cycle that becomes increasingly difficult to control.

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Trump says communities that reject data centers ‘want to end up being backwards and poor’ — President claims China ‘could not be happier’ with AI data center backlash in the US

Donald Trump doesn’t appear to be a fan of the data center backlash that has swept the nation. Posting on his Truth Social platform, the President said that communities that reject data centers only do so because “they want to end up being backwards and poor,” and posited that China “could not be happier with this anti Data Center movement.” The comment comes amid a wide, albeit unorganized, pushback to data center buildouts in the United States that’s left local communities and municipalities reckoning with an unanticipated and rapid infrastructure buildout.

Local pushback has been widespread and consistent across the country. Earlier this month, an Amazon data center came under fire for circumventing public feedback based on old laws. Since April, leaders across the nation have received an elevated number of credible death threats related to data centers since April. And last month, the number of local bans on data center developments crossed over 500 within the United States.

The President says to “let Data Reign” if communities “want to be successful and rich, with far lower taxes and jobs all over the place.” Presumably, the President missed a comma after “taxes” and does not mean that data centers will lower the number of jobs available. The economic argument surrounding data centers is a tough issue to quantify, though it’s not completely detached from reality.

A July study from Georgia Tech found that data center developments increase local employment by 3.5%, total wages by 5%, business establishments by 4.7%, and median household income by 1.9%. Further, the developments reduce unemployment rates. Critically, however, the study found that these benefits mainly show up in metropolitan areas, calling the benefits in rural areas “negligible.” The study also highlights that data centers often employ fewer than 100 permanent workers, with specialized services “imported from outside the country.”

The research also looked into trade-offs with electricity prices, finding that prices rise an average of 5% after a data center is built in a community.

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Court Gives FCC 30 Days to Respond to CHD Petition on Wireless Harms

The Federal Communications Commission (FCC) has 30 days to explain why it hasn’t complied with a 2021 court order requiring the agency to reveal how it determined that current wireless radiation exposure limits — which haven’t been updated in 30 years — adequately protect people and the environment, a federal appeals court ruled today.

Within a month, the FCC must respond to a petition filed earlier this year by Children’s Health Defense (CHD) requesting the information.

“This is a huge deal, and we are very pleased with the court’s order,” said Miriam Eckenfels, director of CHD’s Electromagnetic Radiation (EMR) & Wireless Program.

Today’s order by the U.S. Court of Appeals for the District of Columbia Circuit represents a big step toward holding the FCC accountable for its ongoing refusal to protect people and the environment from wireless radiation, Eckenfels said.

“The FCC’s inaction to address the mountain of science on the health impacts of wireless radiation is nothing short of reckless,” she said.

‘This signals that the court is interested in the issue’

In 2019, the FCC chose not to update its 1996 radiofrequency (RF) radiation exposure safety limits and to terminate a legal inquiry into scientific evidence of adverse biological effects of RF radiation.

In response, CHD and other petitioners, including the Environmental Health Trust, sued the FCC. The groups filed 11,000 pages of evidence of harm from 5G and wireless technology — evidence that they alleged the FCC ignored in 2019, when it decided not to update its safety limits.

In 2021, after CHD and the other petitioners’ cases were consolidated into EHT et al. v. FCC, the District of Columbia Circuit sided with CHD.

The 2021 ruling called the FCC’s 2019 decision “arbitrary and capricious” because it failed to consider the non-cancer evidence of adverse health effects caused by wireless technology.

According to the 2021 ruling:

“In addition to the Commission’s inadequate response to the non-cancer-related effects of RF radiation on human health, the Commission also completely failed even to acknowledge, let alone respond to, comments concerning the impact of RF radiation on the environment.

“That utter lack of a response does not meet the Commission’s obligation to provide a reasoned explanation for terminating the notice of inquiry.”

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Federal Appellate Court Rules In Favor Of AI Child Porn

While proponents of artificial intelligence (”AI”) paint an idyllic picture of how the groundbreaking technology is poised to eliminate the ills plaguing society, their unbridled optimism continues to be met with skepticism by their opponents. From fears over the economic repercussions of the rapid loss of jobs that advancements in AI may not be able to outpace to the technology’s applications as the framework for the apparatus of a panopticon surveillance state, concerns over the impact of AI mar the utopian vision its advocates have with an even more dystopian outlook of the future it will usher in. A look inside of the Pandora’s Box being opened by AI was glimpsed following a decision by a federal appeals court ruling in favor of protecting AI-generated child pornography.

On August 25th, 2026, the U.S. Court of Appeals for the 7th Circuit ruled thatthe First Amendment protects an individual’s right to privately possess images and videos of child sexual abuse created using AI, so long as the child sex abuse material (”CSAM”) does not depict a real child and remains in the privacy of the possessor’s home. The federal appellate court issued the unanimous ruling from a panel of three U.S. circuit judges: Judge John Z. Lee, Judge Doris L. Pryor, and Judge Joshua P. Kolar. The case came to the court in the matter of U.S. v. Anderegg, a title that now stands poised to challenge longstanding Supreme Court precedent governing how the law addresses CSAM.

The pivotal case centers on Steven Anderegg, 42, of Holmen, Wisconsin. Anderegg was arrested in May 2024 on suspicion of mass production of AI-generated CSAM. Prosecutors alleged that he used an AI image generator called Stable Diffusion to create over 13,000 images depicting child sex abuse by entering prompts into the platform, including thousands of realistic images of prepubescent minors. In a press release announcing his arrest, the U.S. Department of Justice revealed Anderegg described how he created the AI CSAM through the text-to-image generative AI model in a chat with a 15-year-old boy on the social media platform Instagram. The DOJ press release chronicled how Anderegg not only described how he generated the images to the minor, but that he sent the boy several AI-generated images of minors displaying their genitals. Following their exchange, Instagram reported Anderegg’s account to the National Center for Missing and Exploited Children (”NCMEC”) through its CyberTipline. The NCMEC followed suit by alerting federal authorities.

On May 15th, 2024, a federal grand jury in the Western District of Wisconsin returned an indictment against Anderegg, charging him with producing, distributing, and possessing obscene visual depictions of minors engaged in sexually explicit conduct and transferring obscene materials to a minor under the age of 16. Under those charges, Anderegg faces a maximum penalty of 70 years in prison and a mandatory minimum of five years.

Ahead of his trial originally scheduled to begin on February 18th, 2025, Anderegg’s attorneys filed a motion to dismiss the four counts brought against him on September 23rd, 2024. His defense counsel cited a myriad of federal cases in support of their argument that the statutes Anderegg was charged under were unconstitutional because the AI CSAM he created, possessed, and shared did not depict any actual children, thus the charges violated his rights under the First Amendment.

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