News
Elon Musk and SpaceX won’t be stopped along the road to Mars
If one is to take anything at all away from Elon Musk’s update to SpaceX’s planetary colonization strategy on September 29, it ought to be the tangible and undeniable progress the company has made with real, Mars-focused hardware development.
To take Musk at his word, the general atmosphere pervading the two relevant programs is one of extreme success and confidence. Raptor, the powerful methane-oxygen rocket engine intended to be the workhorse for any larger launch vehicle, has conducted dozens (42, to be specific) of successful hot fires at SpaceX’s McGregor, Texas testing facilities. These ranged from a handful of seconds all the way to 100 seconds in duration, and Musk made it explicitly clear that the only limiting factor to test duration was the size of the tanks of propellant available to fuel the engine. Of crucial importance is the fact that the engine being tested in Texas is a subscale prototype, and is not representative of the final engine. However, SpaceX has since shrunk the final target for operational Raptors, and this means that the current scale is not far off from the final thrust figure. The prototype Raptor is believed to have a thrust of approximately 1,000 kN (Kilonewtons), with slides from Musk’s 2017 presentation pointing to a full scale thrust of 1700 kN, far closer to becoming real than the 3,000 kN figure given at the 2016 IAC.
SpaceX has completed over 1,200 seconds of firing across 42 main Raptor engine tests. pic.twitter.com/EhxbPjd8Cj
— SpaceX (@SpaceX) September 29, 2017
Possibly even more significant is the reported success SpaceX has had with the construction and stress testing of a full-scale carbon fiber liquid oxygen tank, which was tested to a very eventful destruction on Washington state’s Puget Sound. Fans closely followed this series of tests, but information was scarce and the general consensus was that the tank had failed unintentionally during those tests. The fact that Musk claimed that the 12 meter diameter tank was “successfully tested” at high pressures, as well as the confidence he expressed about a uniquely capable “carbon fiber matrix”, suggest that SpaceX have leaped over one of biggest potential hurdles of their larger vehicle plans. Carbon fiber propellant tanks have the potential to make rockets significantly lighter and thus more efficient, particularly if no internal liner of metal is needed to ensure the safety of those carbon fiber tanks. One might remember the difficulties SpaceX had with supercool liquid oxygen, culminating in the Amos-6 mishap that saw carbon fiber helium tanks clash with SpaceX’s then-new supercooled propellant procedures.
-
- SpaceX’s massive carbon fiber tank being tested on a barge. (SpaceX)
-
- The tank made a premature attempt to reach orbit as it exploded. (SpaceX)
-
- Musk said that it flew 300 feet in the air in the controlled failure. (SpaceX)
Through many challenging mistakes, SpaceX has learned the hard way that extra care must be taken when mixing carbon fiber and liquid oxygen. The telltale sign that SpaceX has, however, successfully learned from those mistakes can be found in the company’s aspiration to begin construction of the first BFR cargo ship as early as April of 2018, barely six months from today. Time will tell if they can maintain that aggressive schedule and launch two Mars-bound cargo ships in 2022. The company’s incontrovertible success with the development of Raptor engines and carbon fiber propellant tanks bode extremely well for the future of their planetary colonization efforts.
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
