News
SpaceX urges Congress to expedite commercial spaceflight regulation reforms
Speaking in a Congressional hearing on the morning of June 26th, SpaceX Director of Government Affairs Caryn Schenewerk reaffirmed the company’s commitment to conducting “more than 25 [launches]” in 2018, a feat that will require a ~50% increase in launch frequency over the second half of the year.
Related to the focus of this particular hearing, namely regulatory reform, Representative Rick Larsen (WA-2) appeared to speak for everyone when he mirrored the four panelists’ sense of urgency for beginning the process of reforming federal space launch regulations by asking for an informal meeting outside the doors of the chamber once the session concluded, stating that “it’s that urgent.” In order for companies like SpaceX (and eventually Blue Origin) to be able to sustainably and reliably reach cadences of one launch per week in the near future, the currently cumbersome and dated launch licensing apparatus will almost invariably require significant reforms.
Pressure to remove artificial bottlenecks growing
Two primary problems were identified by the Air Line Pilots Association (ALPA), ULA, Blue Origin, and SpaceX officials present before the Congressional committee: the extreme sluggishness of licensing and the similarly obtuse brute-force integration of launch vehicle operations with the federal systems of air traffic control tasked with safely orchestrating tens of thousands of aircraft flights daily.
Whereas nominal orbital rocket launches result in vehicles like SpaceX’s Falcon 9 spending less than 90 seconds of real time within the bounds of that controlled airspace, the massive and disruptive “keep-out zones” currently required by the FAA for rocket launches frequently disrupt air traffic for more than 100 times as long. According to Ms. Schenewerk, SpaceX believes it already possesses the capabilities to integrate live Falcon 9 and Heavy telemetry with air traffic control, allowing those keep out zones to be dramatically compressed and highly responsive to actual launch operations, similar to how aircraft traffic is dealt with today.
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- Falcon 9 1046’s Block 5 upper stage shown on its May 11 debut launch with Bangabandhu-1. SpaceX’s rockets already provide rich telemetry live to the company’s launch controllers. (SpaceX)
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- After CRS-15, all orbital launches will be use Block 5 boosters and upper stages. The upgraded rocket’s next launch is NET July 20. (Tom Cross)
On the specific launch licensing side of this regulatory coin, SpaceX, Blue Origin, and ULA all expressed distaste for current standards, in which a worst-case scenario could see a launch provider forced to wait more than 200 days (up to eight full months) from the moment of filing to a launch license grant. Worse, even slight adjustments to a granted launch license require launch providers to resubmit themselves to that 200+ day process, effectively making timely modifications undependable exceptions to the rule.
Old rules, new rockets
The real barrier to these common-sense regulatory reforms is quite simply the extraordinary sluggishness of the FAA and those tasked with updating its guidelines and regulatory structures. Rep. Larsen was not exaggerating when he stated that he foresaw Congress choosing to delay those reforms by another 5+ years if given the opportunity, and it was thus likely a relief for the panel of witnesses (PDF) to hear him agree that these reforms must be pursued with the utmost urgency. In its current state, the FAA’s launch licensing is liable to be utterly swamped by the imminent introduction of multiple new smallsat launch providers on top of the already lofty launch cadence ambitions of SpaceX, ULA, and Blue Origin, as well as Orbital ATK to a lesser extent.
With SpaceX leading the charge, the American launch industry is already a year or more into a true renaissance of American spaceflight, and the FAA is simply not equipped to handle it. If reforms can be completed with haste rarely seen in Congress, the federal government can at a minimum ensure that it does not become a wholly artificial and preventable bottleneck for that explosion of domestic spaceflight activity.
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- SpaceX’s Demo Mission-1 Crew Dragon seen preparing for vacuum tests at a NASA-run facility, June 2018. (SpaceX)
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- A Falcon 9 fairing during encapsulation, when a launch payload is sealed inside the fairing’s two halves. This small satellite is NASA’s TESS, launched in April 2018. (NASA)
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- A combination of scientific satellites and five Iridium NEXT communications satellites preparing for launch in May 2018. (NASA)
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- Telesat’s SSL-built Telstar 19V conducts testing in an anechoic chamber before launch, currently NET July 19. (SSL)
Speaking of that activity, SpaceX is scheduled to begin its H2 2018 manifest push with as many as six Falcon 9 launches (five with Block 5 boosters) over the next ~60 days. Barring an abrupt increase in rocket booster production speeds, sources have confirmed that those 2-3 summer months will likely also feature one of the first rapid Falcon 9 Block 5 reuses, potentially seeing one of SpaceX’s highly-reusable rockets complete two orbital launches in approximately one month (30-50 days). That will, of course, depend upon both customer agreeability and the availability of rockets and launch facilities, but the goal of a rapid Block 5 reuse before summer’s end still stands, at least for now.
Up next is CRS-15, which will see the last orbital Block 4 Falcon 9 launch a flight-proven Cargo Dragon to the ISS with several thousand pounds of supplies in tow, with liftoff scheduled for NET 5:42 am EDT, June 29.
Follow us for live updates, peeks behind the scenes, and photos from Teslarati’s East and West Coast photographers.
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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
