News
SpaceX lobbies NASA to foster competitive deep space exploration
Tim Hughes, the senior VP of SpaceX’s global business and government affairs, testified earlier this morning before the Senate Subcommittee on Space, Science, and Technology and the Committee on Commerce, Science, and Technology. He put forth a strong argument that it would be in the best interests of both NASA and the United States to encourage commercial competition in pursuit of the exploration of deep space, and that this could be done with concrete goals like improved interplanetary communications, vertically landing spacecraft on the Moon, and sending substantial amounts of cargo to Mars.
Before joining SpaceX, Hughes was the central actor responsible for drafting and supporting the Commercial Space Launch Amendments Act of 2004, which effectively paved the way for NASA’s first programs of commercial competition just two years later. He joined the company in 2005, and has defined SpaceX’s approach to legal and government affairs in the many years since.
Leveraging data related to the major successes and efficiency of NASA’s Commercial Orbital Transport Services (COTS) initiative, which began in earnest in 2006, Hughes demonstrated that by awarding SpaceX with funds from COTS, NASA ultimately found themselves with a highly-capable orbital launch vehicle after a relatively miniscule investment of $396 million into the venture. A study later conducted by NASA estimated that developing the same vehicle with a traditional NASA or commercial approach would have cost approximately $4 billion or $1.7 billion respectively, implying that the COTS approach was as much as ten times more efficient than NASA’s own traditional strategies of launch vehicle procurement.
SpaceX’s CRS-11 mission just over a month ago was the company’s 10th successful transport of cargo to the ISS. (SpaceX)
Of course, SpaceX themselves invested over $500 million initially following NASA’s COTS award, but NASA’s bode of confidence in the company likely made it possible in the first place for it to raise that level of funding. The point of this presented data, of course, is to segue into the argument that the introduction of commercial competition into the field of deep space exploration could also benefit NASA in the sense that it might be drastically more cost effective than current approaches. Hughes did not explicitly call out any current programs during his testimony, but the clear figureheads are the Space Launch System and Orion. Such a request from private industry also acts as a bit of a gentle suggestion to those in NASA, related Congressional and Senatorial committees. Subcommittees that past and current traditional strategies of hardware procurement for space exploration may be showing signs of age and obsolescence in the face of more efficient commercial ventures.
In fact, NASA’s Chief of Spaceflight, Bill Gerstenmaier, admitted earlier today in a very rare streak of candor that he “[couldn’t] put a date on humans on Mars” and that that was a result of a severe lack of budget to design and build the myriad technologies, hardware, and vehicles necessary to actually take advantage of a heavy launch vehicle like the Space Launch System. NASA is admittedly beginning to pursue and request industry information for what they are calling a Deep Space Gateway or NEXTSTEP, intended to be a small orbital base or space station located closer to the Moon than to Earth. A successfully-developed DSG would indeed become one completed facet of the architecture needed to bring humans to Mars, and can be compared in concept to SpaceX’s Big Falcon Spaceship in a limited fashion.
-
- Boeing (pictured here), SNC, and five other companies all produced concepts that are now being evaluated by NASA for the NEXTSTEP program. (Boeing)
-
- Sierra Nevada’s NEXTSTEP cislunar station concept. (SNC)
-
- SpaceX’s conceptual Interplanetary Transport System from 2016 was considerably larger and more structurally complex than 2017’s BFR. (SpaceX)
Given Gestenmaier’s frank admittance that NASA’s budget is not presently able to support even a fraction of what is necessary for their “Journey to Mars”, exploring alternative methods of more efficiently exploiting the money NASA could realistically make available for further deep space exploration is almost certainly a major priority, or it at least ought to be. Gertsenmaier’s unspoken need for more efficient methods of exploring Mars and deep space would perfectly mesh with the requested program SpaceX’s Tim Hughes also presented earlier today, and the potential benefits SpaceX might also reap from such an arrangement make it worth serious consideration.
The political and corporate mire that NASA is almost innately intertwined with is the primary and most obvious barrier to the existence of a deep space COTS-esque program, but it is possible that some amount of calculated politicking on behalf of SpaceX could result in the right Senators or Representatives getting behind SpaceX’s mission of cost-effective space exploration.
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
