SpaceX has responded to a critical report from CNBC alleging that it has repeatedly polluted waters in Texas this year. As per the private space company, the publication’s allegations about its launch operations in South Texas were factually inaccurate.
In its report, CNBC alleged that SpaceX violated environmental regulations by “repeatedly releasing pollutants into or near bodies of water in Texas.” The publication cited a notice of violation from the Texas Commission on Environmental Quality (TCEQ) about SpaceX’s water deluge system at Starbase, Texas, as part of its sources for its article.
The TCEQ reportedly received a complaint alleging that SpaceX “was discharging deluge water without TCEQ authorization” on August 2023. A total of 14 complaints alleging environmental impacts from Starbase’s deluge system have reportedly been received by the Harlingen region, the publication noted.
SpaceX repeatedly polluted waters in Texas this year, regulators found https://t.co/0KfZIxElxV— CNBC (@CNBC) August 12, 2024
In its response, which was posted through its official account on X, SpaceX noted that it worked with the TCEQ when Starbase’s water deluge system was built. SpaceX also clarified that it has only used potable water in the operations of Starship’s water deluge system.
Following is SpaceX’s full response to CNBC’s allegations.
CNBC’s story on Starship’s launch operations in South Texas is factually inaccurate.
Starship’s water-cooled flame deflector system is critical equipment for SpaceX’s launch operations. It ensures flight safety and protects the launch site and surrounding area.
Also known as the deluge system, it applies clean, potable (drinking) water to the engine exhaust during static fire tests and launches to absorb the heat and vibration from the rocket engines firing. Similar equipment has long been used at launch sites across the United States – such as Kennedy Space Center and Cape Canaveral Space Force Stations in Florida, and Vandenberg Space Force Base in California – and across the globe.
CNBC’s story on Starship’s launch operations in South Texas is factually inaccurate.
Starship’s water-cooled flame deflector system is critical equipment for SpaceX’s launch operations. It ensures flight safety and protects the launch site and surrounding area.
Also known as…— SpaceX (@SpaceX) August 12, 2024
SpaceX worked with the Texas Commission of Environmental Quality (TCEQ) throughout the build and test of the water deluge system at Starbase to identify a permit approach. TCEQ personnel were onsite at Starbase to observe the initial tests of the system in July 2023, and TCEQ’s website shows that SpaceX is covered by the Texas Multi-Sector General Permit.
When the EPA issued their Administrative Order in March 2024, it was done without an understanding of basic facts of the deluge system’s operation or acknowledgement that we were operating under the Texas Multi-Sector General Permit.
After we explained our operation to the EPA, they revised their position and allowed us to continue operating, but required us to obtain an Individual Permit from TCEQ, which will also allow us to expand deluge operations to the second pad. We’ve been diligently working on the permit with TCEQ, which was submitted on July 1st, 2024. TCEQ is expected to issue the draft Individual Permit and Agreed Compliance Order this week.
Throughout our ongoing coordination with both TCEQ and the EPA, we have explicitly asked if operation of the deluge system needed to stop and we were informed that operations could continue.
TCEQ and the EPA have allowed continued operations because the deluge system has always complied with common conditions set by an Individual Permit, and causes no harm to the environment.
Specifically:
– We only use potable (drinking) water in the system’s operation. At no time during the operation of the deluge system is the potable water used in an industrial process, nor is the water exposed to industrial processes before or during operation of the system.
– The launch pad area is power-washed prior to activating the deluge system, with the power-washed water collected and hauled off.
– The vast majority of the water used in each operation is vaporized by the rocket’s engines.
– We send samples of the soil, air, and water around the pad to an independent, accredited laboratory after every use of the deluge system, which have consistently shown negligible traces of any contaminants. Importantly, while CNBC’s story claims there are “very large exceedances of the mercury” as part of the wastewater discharged at the site, all samples to-date have in fact shown either no detectable levels of mercury whatsoever or found in very few cases levels significantly below the limit the EPA maintains for drinking water.
– Retention ponds capture excess water and are specially lined to prevent any mixing with local groundwater. Any water captured in these ponds, including water from rainfall events, is pumped out and hauled off.
– Finally, some water does leave the area of the pad, mostly from water released prior to ignition and after engine shutdown or launch. To give you an idea of how much: a single use of the deluge system results in potable water equivalent to a rainfall of 0.004 inches across the area outside the pad which currently averages around 27 inches of rain per year.
With Starship, we’re revolutionizing humanity’s ability to access space with a fully reusable rocket that plays an integral role in multiple national priorities, including returning humans to the surface of the Moon. SpaceX and its thousands of employees work tirelessly to ensure the United States remains the world’s leader in space, and we remain committed to working with our local and federal partners to be good stewards of the environment.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
