The U.S. National Highway Traffic Safety Administration has raised concerns about Tesla's public messaging on its "Full Self-Driving" system. Photo via tesla.com

The U.S. government's highway safety agency says Tesla is telling drivers in public statements that its vehicles can drive themselves, conflicting with owners manuals and briefings with the agency saying the electric vehicles need human supervision.

The National Highway Traffic Safety Administration is asking the company to “revisit its communications” to make sure messages are consistent with user instructions.

The request came in a May email to the company from Gregory Magno, a division chief with the agency's Office of Defects Investigation. It was attached to a letter seeking information on a probe into crashes involving Tesla's “Full Self-Driving” system in low-visibility conditions. The letter was posted Friday on the agency's website.

The agency began the investigation in October after getting reports of four crashes involving “Full Self-Driving" when Teslas encountered sun glare, fog and airborne dust. An Arizona pedestrian was killed in one of the crashes.

Critics, including Transportation Secretary Pete Buttigieg, have long accused Tesla of using deceptive names for its partially automated driving systems, including “Full Self-Driving” and “Autopilot,” both of which have been viewed by owners as fully autonomous.

The letter and email raise further questions about whether Full Self-Driving will be ready for use without human drivers on public roads, as Tesla CEO Elon Musk has predicted. Much of Tesla's stock valuation hinges on the company deploying a fleet of autonomous robotaxis.

Musk, who has promised autonomous vehicles before, said the company plans to have autonomous Models Y and 3 running without human drivers next year. Robotaxis without steering wheels would be available in 2026 starting in California and Texas, he said.

A message was sent Friday seeking comment from Tesla.

In the email, Magno writes that Tesla briefed the agency in April on an offer of a free trial of “Full Self-Driving” and emphasized that the owner's manual, user interface and a YouTube video tell humans that they have to remain vigilant and in full control of their vehicles.

But Magno cited seven posts or reposts by Tesla's account on X, the social media platform owned by Musk, that Magno said indicated that Full Self-Driving is capable of driving itself.

“Tesla's X account has reposted or endorsed postings that exhibit disengaged driver behavior,” Magno wrote. “We believe that Tesla's postings conflict with its stated messaging that the driver is to maintain continued control over the dynamic driving task."

The postings may encourage drivers to see Full Self-Driving, which now has the word “supervised” next to it in Tesla materials, to view the system as a “chauffeur or robotaxi rather than a partial automation/driver assist system that requires persistent attention and intermittent intervention by the driver,” Magno wrote.

On April 11, for instance, Tesla reposted a story about a man who used Full Self-Driving to travel 13 miles (21 kilometers) from his home to an emergency room during a heart attack just after the free trial began on April 1. A version of Full Self-Driving helped the owner "get to the hospital when he needed immediate medical attention,” the post said.

In addition, Tesla says on its website that use of Full Self-Driving and Autopilot without human supervision depends on “achieving reliability" and regulatory approval, Magno wrote. But the statement is accompanied by a video of a man driving on local roads with his hands on his knees, with a statement that, “The person in the driver's seat is only there for legal reasons. He is not doing anything. The car is driving itself,” the email said.

In the letter seeking information on driving in low-visibility conditions, Magno wrote that the investigation will focus on the system's ability to perform in low-visibility conditions caused by “relatively common traffic occurrences.”

Drivers, he wrote, may not be told by the car that they should decide where Full Self-Driving can safely operate or fully understand the capabilities of the system.

“This investigation will consider the adequacy of feedback or information the system provides to drivers to enable them to make a decision in real time when the capability of the system has been exceeded,” Magno wrote.

The letter asks Tesla to describe all visual or audio warnings that drivers get that the system “is unable to detect and respond to any reduced visibility condition.”

The agency gave Tesla until Dec. 18 to respond to the letter, but the company can ask for an extension.

That means the investigation is unlikely to be finished by the time President-elect Donald Trump takes office in January, and Trump has said he would put Musk in charge of a government efficiency commission to audit agencies and eliminate fraud. Musk spent at least $119 million in a campaign to get Trump elected, and Trump has spoken against government regulations.

Auto safety advocates fear that if Musk gains some control over NHTSA, the Full Self-Driving and other investigations into Tesla could be derailed.

Musk even floated the idea of him helping to develop national safety standards for self-driving vehicles.

“Of course the fox wants to build the henhouse,” said Michael Brooks, executive director of the Center for Auto Safety, a nonprofit watchdog group.

He added that he can't think of anyone who would agree that a business mogul should have direct involvement in regulations that affect the mogul’s companies.

“That’s a huge problem for democracy, really,” Brooks said.

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions, and if so, the contributing circumstances for these crashes." Photo courtesy of Tesla

US to probe Texas-based Tesla's self-driving system after pedestrian killed in low visibility conditions

eyes on the road

The U.S. government's road safety agency is investigating Tesla's “Full Self-Driving” system after getting reports of crashes in low-visibility conditions, including one that killed a pedestrian.

The National Highway Traffic Safety Administration said in documents that it opened the probe last week after the company reported four crashes when Teslas encountered sun glare, fog and airborne dust.

In addition to the pedestrian's death, another crash involved an injury, the agency said.

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions, and if so, the contributing circumstances for these crashes.”

The investigation covers roughly 2.4 million Teslas from the 2016 through 2024 model years.

A message was left Friday seeking comment from Tesla, which has repeatedly said the system cannot drive itself and human drivers must be ready to intervene at all times.

Last week Tesla held an event at a Hollywood studio to unveil a fully autonomous robotaxi without a steering wheel or pedals. Musk, who has promised autonomous vehicles before, said the company plans to have autonomous Models Y and 3 running without human drivers next year. Robotaxis without steering wheels would be available in 2026 starting in California and Texas, he said.

The investigation's impact on Tesla's self-driving ambitions isn't clear. NHTSA would have to approve any robotaxi without pedals or a steering wheel, and it's unlikely that would happen while the investigation is in progress. But if the company tries to deploy autonomous vehicles in its existing models, that likely would fall to state regulations. There are no federal regulations specifically focused on autonomous vehicles, although they must meet broader safety rules.

NHTSA also said it would look into whether any other similar crashes involving “Full Self-Driving” have happened in low visibility conditions, and it will seek information from the company on whether any updates affected the system’s performance in those conditions.

“In particular, this review will assess the timing, purpose and capabilities of any such updates, as well as Tesla’s assessment of their safety impact,” the documents said.

Tesla reported the four crashes to NHTSA under an order from the agency covering all automakers. An agency database says the pedestrian was killed in Rimrock, Arizona, in November of 2023 after being hit by a 2021 Tesla Model Y. Rimrock is about 100 miles (161 kilometers) north of Phoenix.

The Arizona Department of Public Safety said in a statement that the crash happened just after 5 p.m. Nov. 27 on Interstate 17. Two vehicles collided on the freeway, blocking the left lane. A Toyota 4Runner stopped, and two people got out to help with traffic control. A red Tesla Model Y then hit the 4Runner and one of the people who exited from it. A 71-year-old woman from Mesa, Arizona, was pronounced dead at the scene.

The collision happened because the sun was in the Tesla driver's eyes, so the Tesla driver was not charged, said Raul Garcia, public information officer for the department. Sun glare also was a contributing factor in the first collision, he added.

Tesla has twice recalled “Full Self-Driving” under pressure from NHTSA, which in July sought information from law enforcement and the company after a Tesla using the system struck and killed a motorcyclist near Seattle.

The recalls were issued because the system was programmed to run stop signs at slow speeds and because the system disobeyed other traffic laws. Both problems were to be fixed with online software updates.

Critics have said that Tesla’s system, which uses only cameras to spot hazards, doesn’t have proper sensors to be fully self driving. Nearly all other companies working on autonomous vehicles use radar and laser sensors in addition to cameras to see better in the dark or poor visibility conditions.

Musk has said that humans drive with only eyesight, so cars should be able to drive with just cameras. He has called lidar (light detection and ranging), which uses lasers to detect objects, a “fool's errand.”

The “Full Self-Driving” recalls arrived after a three-year investigation into Tesla's less-sophisticated Autopilot system crashing into emergency and other vehicles parked on highways, many with warning lights flashing.

That investigation was closed last April after the agency pressured Tesla into recalling its vehicles to bolster a weak system that made sure drivers are paying attention. A few weeks after the recall, NHTSA began investigating whether the recall was working.

NHTSA began its Autopilot crash investigation in 2021, after receiving 11 reports that Teslas that were using Autopilot struck parked emergency vehicles. In documents explaining why the investigation was ended, NHTSA said it ultimately found 467 crashes involving Autopilot resulting in 54 injuries and 14 deaths. Autopilot is a fancy version of cruise control, while “Full Self-Driving” has been billed by Musk as capable of driving without human intervention.

The investigation that was opened Thursday enters new territory for NHTSA, which previously had viewed Tesla's systems as assisting drivers rather than driving themselves. With the new probe, the agency is focusing on the capabilities of “Full Self-Driving" rather than simply making sure drivers are paying attention.

Michael Brooks, executive director of the nonprofit Center for Auto Safety, said the previous investigation of Autopilot didn't look at why the Teslas weren't seeing and stopping for emergency vehicles.

“Before they were kind of putting the onus on the driver rather than the car,” he said. “Here they're saying these systems are not capable of appropriately detecting safety hazards whether the drivers are paying attention or not.”

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CenterPoint launches $65B capital improvement plan

grid growth

To support rising demand for power, Houston-based utility company CenterPoint Energy has launched a $65 billion, 10-year capital improvement plan.

CenterPoint said that in its four-state service territory — Texas, Indiana, Minnesota and Ohio — the money will go toward building and maintaining a “resilient” electric grid and a safe natural gas system.

In the Houston area, CenterPoint forecasts peak demand for electricity will increase nearly 50 percent, to almost 31 gigawatts, by 2031 and peak demand will climb to almost 42 gigawatts by the middle of the next decade. CenterPoint provides energy to nearly 2.8 million customers in the Houston area.

In addition to the $65 billion capital improvement budget, which is almost 40 percent higher than the 2021 budget, CenterPoint has identified more than $10 billion in investment opportunities that could further improve electric and natural gas service.

“Every investment we make at CenterPoint is in service of our approximately seven million metered customers we have the privilege to serve,” CenterPoint president and CEO Jason Wells said in a news release.

“With our customer-driven yet conservative approach to growth, we continue to see significant potential for even more investment for the benefit of our customers that is not yet reflected in our new plan,” he added.

UH projects propose innovative reuse of wind turbines and more on Gulf Coast

Forward-thinking

Two University of Houston science projects have been selected as finalists for the Gulf Futures Challenge, which will award a total of $50 million to develop ideas that help benefit the Gulf Coast.

Sponsored by the National Academies of Science, Engineering and Medicine’s Gulf Coast Research Program and Lever for Change, the competition is designed to spark innovation around problems in the Gulf Coast, such as rising sea levels, pollution, energy security, and community resiliency. The two UH projects beat out 162 entries from organizations based in Alabama, Florida, Louisiana, Mississippi, and Texas.

“Being named a finalist for this highly competitive grant underscores the University of Houston’s role as a leading research institution committed to addressing the most pressing challenges facing our region,” said Claudia Neuhauser, vice president for research at UH.

“This opportunity affirms the strength of our faculty and researchers and highlights UH’s capacity to deliver innovative solutions that will ensure the long-term stability and resilience of the Gulf Coast.”

One project, spearheaded by the UH Repurposing Offshore Infrastructure for Continued Energy (ROICE) program, is studying ways to use decommissioned oil rig platforms in the Gulf of Mexico as both clean energy hydrogen power generators as well a marine habitats. There are currently thousands of such platforms in the Gulf.

The other project involves the innovative recycling of wind turbines into seawall and coastal habitats. Broken and abandoned wind turbine blades have traditionally been thought to be non-recyclable and end up taking up incredible space in landfills. Headed by a partnership between UH, Tulane University, the University of Texas Health Science Center at Houston, the city of Galveston and other organizations, this initiative could vastly reduce the waste associated with wind farm technology.

wind turbine recycled for Gulf Coast seawall.Wind turbines would be repurposed into seawalls and more. Courtesy rendering

"Coastal communities face escalating threats from climate change — land erosion, structural corrosion, property damage and negative health impacts,” said Gangbing Song, Moores Professor of Mechanical and Aerospace Engineering at UH and the lead investigator for both projects.

“Leveraging the durability and anti-corrosive properties of these of decommissioned wind turbine blades, we will build coastal structures, improve green spaces and advance the resilience and health of Gulf Coast communities through integrated research, education and outreach.”

The two projects have received a development grant of $300,000 as a prize for making it to the finals. When the winner are announced in early 2026, two of the projects will net $20 million each to bring their vision to life, with the rest earning a consolation prize of $875,000, in additional project support.

In the event that UH doesn't grab the grand prize, the school's scientific innovation will earn a guaranteed $1.75 million for the betterment of the Gulf Coast.

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This article originally appeared on CultureMap.com.

ERCOT steps up grid innovation efforts to support growing power demand

grid boost

As AI data centers gobble up more electricity, the Electric Reliability Council of Texas (ERCOT) — whose grid supplies power to 90 percent of Texas — has launched an initiative to help meet challenges presented by an increasingly strained power grid.

ERCOT, based in the Austin suburb of Taylor, said its new Grid Research, Innovation, and Transformation (GRIT) initiative will tackle research and prototyping of emerging technology and concepts to “deeply understand the implications of rapid grid and technology evolution, positioning ERCOT to lead in the future energy landscape.”

“As the ERCOT grid continues to rapidly evolve, we are seeing greater interest from industry and academia to collaborate on new tools and innovative technologies to advance the reliability needs of tomorrow’s energy systems,” ERCOT President and CEO Pablo Vegas said in a news release. “These efforts will provide an opportunity to share ideas and bring new innovations forward, as we work together to lead the evolution and expansion of the electric power grid.”

In conjunction with the GRIT initiative, ERCOT launched the Research and Innovation Partnership Engagement (RIPE) program. The program enables partners to work with ERCOT on developing technology aimed at resolving grid challenges.

To capitalize on ideas for grid improvements, the organization will host its third annual ERCOT Innovation Summit on March 31 in Round Rock. The summit “brings together thought leaders across the energy research and innovation ecosystem to explore solutions that use innovation to impact grid transformation,” ERCOT said.

“As the depth of information and industry collaboration evolves, we will continue to enhance the GRIT webpages to create a dynamic and valuable resource for the broader industry to continue fostering strong collaboration and innovation with our stakeholders,” said Venkat Tirupati, ERCOT’s vice president of DevOps and grid transformation.

ERCOT’s GRIT initiative comes at a time when the U.S. is girding for heightened demand for power, due in large part to the rise of data centers catering to the AI boom.

A study released in 2024 by the Electric Power Research Institute (EPRI) predicted electricity for data centers could represent as much as 9.1 percent of total power usage in the U.S. by 2030. According to EPRI, the share of Texas electricity consumed by data centers could climb from 4.6 percent in 2023 to almost 11 percent by 2030.

A report issued in 2024 by the federal government’s Lawrence Berkeley National Laboratory envisions an even faster increase in data-center power usage. The report projected data centers will consume as much as 12 percent of U.S. electricity by 2028, up from 4.4 percent in 2023.

In 2023, the EPRI study estimated, 80 percent of the U.S. electrical load for data centers was concentrated in two states, led by Virginia and Texas. The University of Texas at Austin’s Center for Media Engagement reported in July that Texas is home to 350 data centers, second only to Virginia.

“The U.S. electricity sector is working hard to meet the growing demands of data centers, transportation electrification, crypto-mining, and industrial onshoring, while balancing decarbonization efforts,” David Porter, EPRI’s vice president of electrification and sustainable energy strategy, said. “The data center boom requires closer collaboration between large data center owners and developers, utilities, government, and other stakeholders to ensure that we can power the needs of AI while maintaining reliable, affordable power to all customers.”