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SpaceX urges White House to foster public-private partnerships in space
Earlier this year, the White House announced plans to reestablish the National Space Council (NSC), an advising body that dates back to the creation of NASA in 1958. The council convened for the first time on October 5 and invited several central figures in US spaceflight, including SpaceX’s President and COO Gwynne Shotwell.
In a brief but powerful speech to the Council, Shotwell urged the US Federal government to apply the lessons learned from NASA’s successful private-public partnerships to efforts to expand human presence in Low Earth Orbit and beyond. Those successful partnerships include NASA COTS (Commercial Orbital Transportation Services), which funded SpaceX to develop its Cargo Dragon spacecraft to resupply the ISS, and the Commercial Crew Program (CCP) that funded SpaceX for the development of their crewed Dragon 2 spacecraft. In terms of efficiency and speed, both programs have indeed been extraordinarily successful, despite often maligned delays.
As a brief example of the insignificance of SpaceX’s Commercial Crew delays, one needs to look no further than NASA’s Space Launch System. Described in early 2011 to be pursuing operational readiness no later than December 2016, SLS is now extremely unlikely to conduct its first launch until well into 2020. A reasonable cost estimate spreads the development costs ($30 billion) over 30 years of operations, assumes an optimistic one launch per year for the vehicle, and arrives at an astounding final figure of $5 billion per SLS launch.
The development funds NASA awarded SpaceX for both Cargo Dragon, Falcon 9, and Crew Dragon were estimated to be no more than $7.3 billion from 2006 to the last Cargo Dragon mission currently scheduled for 2024. Even if this figure swells to $10 billion once operational crewed flights to the ISS begin in 2018 or 2019, the entire cost of NASA’s support of SpaceX would equate to two launches of SLS total.
NASA slipped a sly glimpse of Dragon 2 construction into their live coverage SpaceX’s CRS-12 launch. On the left is a Dragon 2 pressure vessel, while on the right is the vehicle’s “trunk”. (NASA)
Shotwell made sure to avoid the topic of SLS entirely, instead choosing to highlight the benefits of cost and speed public-private partnerships could provide for deep space communications and interplanetary cargo transport. This marks the second time that a ranking member of SpaceX has mentioned a possible public-private program for deep space communications, something that will inevitably need to improve as the commercial spaceflight apparatus extends its reach beyond Earth. SpaceX is currently developing satellite technology to enable a massive orbital Internet constellation around Earth, and the company is obviously interested in leveraging that R&D to strengthen Earth-Mars and Earth-Moon networks into a more robust communications backbone. Secretary of Transport Elaine Chao and Secretary of State Rex Tillerson also slipped in words of excitement and interest in SpaceX’s recently revealed concept of point to point Earth transportation with their BFR system.
This meeting of the NSC also focused heavily on the domestic and regulatory apparatus for commercial space operations. Shotwell and Blue Origin’s CEO Bob Smith both suggested that the FAA’s current rules and regulations regarding commercial spaceflight ought to be reviewed and potentially updated to better account for a future of reusable commercial launch vehicles. Shotwell subtly maligned the often-tedious process of applying for FAA launch permits, pointing to the fact that even slight changes to permits would force companies to file entirely new applications, often taking six months or longer. SpaceX, with its rapid development and deployment of reusable rockets and an ever-increasing launch cadence, is more than ever before at odds with the FAA’s slow and unforgiving permitting processes.
SpaceX’s BFR Earth transport concept would undoubtedly clash head-on with the FAA’s current system of rocket regulations. (SpaceX)
Intriguingly, Council members Mike Pence, Mick Mulvaney, and Elaine Chao all expressed a desire to ease the burden of anachronistic regulations on the commercial space industry. More interesting still, the commercial space panel ended with what effectively sounded like a handshake deal between the Vice President, the Secretary of Transportation, and the Director of the Office of Management and Budget to review current commercial spaceflight regulations and report the results of those reviews to the NSC in no more than 45 days.
It remains to be seen if this verbal commitment translates into an official review, but it is at a minimum encouraging to hear ranking members of the current White House administration so openly express support for SpaceX, Blue Origin, Sierra Nevada Corp., and American commercial spaceflight in general.
The First Meeting of the National Space Council can be seen in the embed below.
https://www.youtube.com/watch?v=nh2jVG76S7g
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.”
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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
