The Austin, Texas, company supposedly fixed its self-driving software for more than 2 million vehicles, but the U.S. National Highway Traffic Safety Administration still has concerns. Photo courtesy of Tesla

Federal highway safety investigators want Austin-based Tesla to tell them how and why it developed the fix in a recall of more than 2 million vehicles equipped with the company's Autopilot partially automated driving system.

Investigators with the U.S. National Highway Traffic Safety Administration have concerns about whether the recall remedy worked because Tesla has reported 20 crashes since the remedy was sent out as an online software update in December.

The recall fix also was to address whether Autopilot should be allowed to operate on roads other than limited access highways. The fix for that was increased warnings to the driver on roads with intersections.

But in a letter to Tesla posted on the agency's website Tuesday, investigators wrote that they could not find a difference between warnings to the driver to pay attention before the recall and after the new software was released. The agency said it will evaluate whether driver warnings are adequate, especially when a driver-monitoring camera is covered.

The agency asked for volumes of information about how Tesla developed the fix, and zeroed in on how it used human behavior to test the recall effectiveness.

Phil Koopman, a professor at Carnegie Mellon University who studies automated driving safety, said the letter shows that the recall did little to solve problems with Autopilot and was an attempt to pacify NHTSA, which demanded the recall after more than two years of investigation.

“It’s pretty clear to everyone watching that Tesla tried to do the least possible remedy to see what they could get away with,” Koopman said. “And NHTSA has to respond forcefully or other car companies will start pushing out inadequate remedies.”

Safety advocates have long expressed concern that Autopilot, which can keep a vehicle in its lane and a distance from objects in front of it, was not designed to operate on roads other than limited access highways.

Missy Cummings, a professor of engineering and computing at George Mason University who studies automated vehicles, said NHTSA is responding to criticism from legislators for a perceived lack of action on automated vehicles.

“As clunky as our government is, the feedback loop is working,” Cummings said. “I think the NHTSA leadership is convinced now that this is a problem.”

The 18-page NHTSA letter asks how Tesla used human behavior science in designing Autopilot, and the company's assessment of the importance of evaluating human factors.

It also wants Tesla to identify every job involved in human behavior evaluation and the qualifications of the workers. And it asks Tesla to say whether the positions still exist.

A message was left by The Associated Press early Tuesday seeking comment from Tesla about the letter.

Tesla is in the process of laying off about 10% of its workforce, about 14,000 people, in an effort to cut costs to deal with falling global sales.

Cummings said she suspects that CEO Elon Musk would have laid off anyone with human behavior knowledge, a key skill needed to deploy partially automated systems like Autopilot, which can't drive themselves and require humans to be ready to intervene at all times.

“If you're going to have a technology that depends upon human interaction, you better have someone on your team that knows what they are doing in that space,” she said.

Cummings said her research has shown that once a driving system takes over steering from humans, there is little left for the human brain to do. Many drivers tend to overly rely on the system and check out.

“You can have your head fixed in one position, you can potentially have your eyes on the road, and you can be a million miles away in your head,” she said. “All the driver monitoring technologies in the world are still not going to force you to pay attention.”

In its letter, NHTSA also asks Tesla for information about how the recall remedy addresses driver confusion over whether Autopilot has been turned off if force is put on the steering wheel. Previously, if Autopilot was de-activated, drivers might not notice quickly that they have to take over driving.

The recall added a function that gives a “more pronounced slowdown” to alert drivers when Autopilot has been disengaged. But the recall remedy doesn’t activate the function automatically — drivers have to do it. Investigators asked how many drivers have taken that step.

NHTSA is asking Telsa “What do you mean you have a remedy and it doesn’t actually get turned on?” Koopman said.

The letter, he said, shows NHTSA is looking at whether Tesla did tests to make sure the fixes actually worked. “Looking at the remedy I struggled to believe that there’s a lot of analysis proving that these will improve safety,” Koopman said.

The agency also says Tesla made safety updates after the recall fix was sent out, including an attempt to reduce crashes caused by hydroplaning and to reduce collisions in high speed turn lanes. NHTSA said it will look at why Tesla didn't include the updates in the original recall.

NHTSA could seek further recall remedies, make Tesla limit where Autopilot can work, or even force the company to disable the system until it is fixed, safety experts said.

NHTSA began its Autopilot investigation in 2021, after receiving 11 reports that Teslas using Autopilot struck parked emergency vehicles. In documents explaining why the investigation was ended due to the recall, NHTSA said it ultimately found 467 crashes involving Autopilot resulting in 54 injuries and 14 deaths.

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Houston cleantech company closes $12M seed round

fresh funding

Houston-based Helix Earth Technologies has closed a $12 million Seed 2 funding round to scale manufacturing of its energy-efficient commercial HVAC add-on technology.

Veriten, a Houston-based energy investment firm, led the round. Rua Ventures, Carnrite Ventures, Skywriter LLC and Textbook Ventures also participated.

Helix Earth—which was founded based on NASA technology, spun out of Rice University and has been incubated at Greentown Labs—is developing high-efficiency retrofit dehumidification systems that aim to reduce the energy consumption of commercial HVAC units. The company reports that its technology can lead to "healthier indoor air, lower energy bills, reduced building maintenance, and more comfortable spaces for building owners and occupants."

"Building owners are dealing with rising energy costs, uncontrolled humidity, and aging infrastructure with no viable, cost-effective path forward. We are in the field today solving these problems for commercial customers, and this capital puts us on an aggressive path to scale,” Rawand Rasheed, Helix Earth co-founder and CEO, said in a news release.

“The strength of this round reinforces our team's conviction that we can transform innovation-starved sectors with transformational solutions that deliver order-of-magnitude improvements to owners and operators, for both their bottom line and the environment,” Rasheed added.

Maynard Holt, Veriten’s founder and CEO, said that the investment firm is tripling its investment in Helix Earth.

"The team has built breakthrough technology with real applicability across multiple industries,” Holt said in the release. “Their first product will have an immediate and measurable impact on our energy system, and they are already pursuing adjacent innovations to help heavy industries operate more efficiently and with less waste. This is a well-rounded team with a proven track record of strong execution and disciplined capital management.”

Helix Earth also closed a $5.6 million seed funding round in 2024, led by Veriten.

Last year, the company secured a $1.2 million Small Business Innovation Research (SBIR) Phase II grant and won in the Smart Cities, Transportation & Sustainability contest at the 2025 SXSW Pitch Showcase. Rasheed was also named to the Forbes 30 Under 30 Energy and Green Tech list for 2025.

SLB and NVIDIA expand partnership to scale AI across energy sector

AI partnership

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”