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.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Modular nuclear reactor company opens office in Houston

new to hou

The nuclear energy renaissance continues in Texas with an announcement by NuScale Power. The Oregon-based provider of proprietary and innovative advanced small modular reactor (SMR) nuclear technology announced in April it would be opening office space in Houston’s CityCentre.

“Opening this space in Houston underscores our commitment to meeting rising energy demand with safe, scalable nuclear technology,” John Hopkins, NuScale president and CEO, said in a news release. “This move expands our presence in a key market for partners, prospective customers, and stakeholders in addition to positioning us for the future as we focus on the near-term deployment of our industry-leading technology. Texas is leading the way in embracing advanced nuclear for grid resilience and industrial decarbonization, and we’re proud to expand our footprint and capabilities in this important region.”

Interest in nuclear power has been growing in recent years thanks to tensions with oil-rich nations, concerns about man-made climate change from fossil fuels, and the rapidly increasing power needs of data centers. Both Dow and Texas A&M University have announced expanded nuclear power projects in the last year, with an eye of changing the face of Texas’s energy industry through smaller, safer fission reactors.

Enter NuScale, founded in 2007 from technology developed at the University of Oregon. Their modular SMR technology generates 77 megawatts and is one of the only small modular reactors (SMR) to receive design approval from the U.S. Nuclear Regulatory Commission (NRC). These advances have led to runaway success for NuScale, whose stock has risen by more than 1,670 percent since the start of 2024.

The new operations campus in CityCentre is expected to facilitate the movement, installation and coordination of NuScale technology into the various energy systems. Typically, SMRs are used for off-grid installations, desalination operations, mining facilities and similar areas that lack infrastructure. However, the modularity means that they can be easily deployed to a variety of areas.

It comes none too soon. ERCOT projects that Texas data centers alone will require 77,965 megawatts by 2030.

Houston battery recycling company secures $32M in financing

fresh funding

Houston-based Ace Green Recycling has raised $32 million in private investment in public equity (PIPE) financing to support its future plans for growth.

The battery recycling technology company secured the financing with Athena Technology Acquisition Corp. II, a publicly traded special purpose acquisition company that Ace previously announced it plans to merge with. Once the merger is completed, Ace will become a publicly traded company on the Nasdaq Stock Exchange under the ticker symbol "AGXI."

Ace says the financing will be used to complete the merger and scale the company.

“This investment accelerates our mission to redefine battery recycling at a global scale,” Ace CEO Nischay Chadha said in a news release. “At Ace, we are deploying Greenlead® and LithiumFirst™ as a new standard–fully electrified, Scope 1 emissions-free solutions designed to replace legacy processes and unlock a cleaner supply chain for critical materials. We believe that the future of electrification depends on how efficiently and sustainably we recover these resources, and this milestone brings us meaningfully closer to that future.”

Ace says the funding will also be primarily used to fund capital expenditures related to the development of its planned flagship recycling facility, located outside of Beaumont, Texas. According to a February investor presentation, the facility is expected to launch in 2027. It will recycle lead-acid and lithium-ion batteries.

Ace agreed to a 15-year battery material supply agreement with Miami-based OM Commodities last year, in which OM Commodities would supply Ace with at least 30,000 metric tons of lead scrap to be recycled annually. Switzerland-based Glencore plc agreed to a 15-year offtake agreement to purchase up to 100 percent of ACE’s products from four of its planned lead-acid and lithium-ion battery recycling parks back in 2022.

Ace also reported that the funding will be put toward "supporting the expansion of operations and to fund the purchase of other companies," in the release.

Houston AI startup rolls out platform to reshape oil and gas workflows

AI for energy

Houston-based Collide is looking to solve AI issues in the energy industry from within.

Co-founded by former oil roughneck Collin McLelland, the company has developed AI software for operators and field teams, shaped by firsthand oilfield experience. Its AI-native platform “retrieves and synthesizes data from authoritative sources to deliver accurate, cited, and energy-focused insights to oil and gas professionals,” according to the company.

“Oil and gas has a graveyard full of technology that was technically impressive and operationally useless,” McLelland tells Energy Capital. “The reason is almost always the same: the people who built it didn't understand what they were actually solving for. When you're an outsider, you see workflows and try to automate them. When you're an insider, you understand why those workflows exist—the regulatory constraints, the physical realities, the liability concerns, the trust dynamics between operators and service companies.”

Collide’s large language model, known as RIGGS, performed well in recent benchmarking results when taking a standardized petroleum engineering (SPE) exam, the company reports. The exam assesses understanding from conceptual terminology to complex mathematical problem-solving.

According to Collide, RIGGS achieved a score of 67.5 percent on a 40-question subset of the SPE petroleum engineering exam, outperforming other large language models like Grok 4 (62.5 percent), Claude Sonnet 4.5 (52.5 percent) and GPT 5.1 (4 percent).

RIGGS completed the test in 15 minutes, while Grok took two hours. Collide hopes over the next few months, RIGGS will receive a score between 75 percent to 80 percent accuracy.

The software could potentially help oil and gas companies produce accurate outputs and automate trivial workflows, which can open up valuable time for engineers and teams to work on other pressing matters, according to McLelland.

“Collide exists because we sat in those seats — we were the engineers, the operators, the field guys,” he says. ”RIGGS scoring higher on the PE exam versus the frontier labs isn't a party trick. It's evidence that the model understands petroleum engineering the way a petroleum engineer does, because it was built by people who do.”

RIGGS was trained on Collide’s Spindletop hardware and is supported by a vast library of information, as well as a reasoning engine and validation layer that uses logic to solve problems.

“Longer term, we see RIGGS as the intelligence layer that sits underneath every operator's workflow — not a chatbot you open in a browser, but something embedded in the tools engineers already use,” McLelland says. “The goal is to give every engineer the knowledge and pattern recognition of a 30-year veteran, on demand."

According to McLelland, Collide is already building toward reservoir analysis and production optimization, automated regulatory compliance (Railroad Commission filings, W-10s, G-10s), workover report generation, and engineering decision support in the field for near-term use cases. In March, Collide and Texas-based oil and gas operator Winn Resources announced a collaboration to automate the time-intensive process of filing monthly W-10 and G-10 forms with the Texas Railroad Commission, completing what’s normally a multi-hour task in under 30 minutes. Collide reports that Winn’s infrastructure now automates regulatory filings and provides real-time visibility into data gaps, which has reduced processing time by over 95 percent.

“Before Collide, I'd spend hours manually keying in filings,” Buck Crum, director of operations, said in a news release. “(In March), we had 50 wells to file and I was done in 20 minutes. It does the majority of the heavy lifting while keeping me in control. That human-in-the-loop approach saves meaningful time and gives us greater confidence in our compliance and reporting.”

Collide was originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing.” After raising $5 million in seed funding led by Houston’s Mercury Fund last year, the company said it would shift its focus to rolling out its enterprise-level, AI-enabled solution.