News
SpaceX crushes rocket engine world record during Raptor test
CEO Elon Musk has revealed that SpaceX crushed a global rocketry record during a recent Raptor engine test, pushing the crucial Starship component past years-old performance targets.
On August 17th, the SpaceX CEO unexpectedly released a photo of a Raptor test and a corresponding graph showing the engine’s chamber pressure, confirming that the company had successfully pushed the engine to record-breaking levels. Musk says that an unspecified Raptor – possibly serial number 39 (SN39) – briefly reached a main combustion chamber pressure of 330 bar (~4800 psi) during a controlled burn – and remained intact after shutdown.
Outside of subscale laboratory tests, the highest main combustion chamber known to full-scale, orbital-class rocketry was achieved by the Soviet Union in the 1980s with the RD-701 engine. Although the exceptionally unique engine was canceled before it could be used, it reportedly reached pressures of 290-300 bar in one mode of operation. Now, however, SpaceX and its Raptor engine appear to be the new world record holders – and by a huge margin.
Raptor’s new crown comes roughly 18 months after Elon Musk revealed that the engine had beaten the Soviet RD-270 full-flow staged combustion (FFSC) with a higher sustained chamber pressure (~257 bar vs 255 bar). A few days later, the same Raptor went even further, cresting the Russian RD-180 engine’s 257 bar operating pressure with a peak of 268 bar. Still, SpaceX needed 6-12 more months to refine Raptor into an engine capable of operating even close to those pressures for more than ~10 seconds. In July and August 2019, Raptor engine SN6 flew twice on Starhopper, culminating in a ~60-second, 150-meter hop that ended with the engine nearly destroying itself seconds before landing.
Almost exactly one year later, Raptor SN27 launched on Starship SN5 on the same 150m trajectory and appeared to perform flawlessly. Exhibiting barely a stutter or flare, SN27 never came close to the flamethrower-like death throes Raptor SN6 suffered in August 2019. In short, SpaceX continued to do what SpaceX does best, continuously refining rough prototypes into increasingly polished end products.
Originally revealed in 2016 as a methane/oxygen full-flow staged combustion engine with an operating combustion chamber pressure of 300 bar (4350 psi), Raptor’s August 17th achievement means that SpaceX has already exceeded one of its performance goals. Of course, combustion chamber pressure is significant but still far less important than engine longevity, burn duration limits, and reusability in the context of Starship. SpaceX likely wouldn’t be pushing the envelope of chamber pressure if it wasn’t confident about Raptor’s many other important attributes, but it’s still unknown if Raptor has ever burned for longer than ~90 seconds.
Regardless, if Raptor can actually sustain chamber pressures of 330 bar without damaging itself, the milestone could mean that SpaceX has already boosted Raptor’s maximum thrust from ~200 metric tons to ~225 metric tons (440,000-500,000 lbf. For Starship and Super Heavy, that 10% increase in thrust could easily translate to a 5-10% increase in payload to orbit per launch.
To reach orbit, though, Raptor still has a ways to go. For Super Heavy to be able to complete a normal launch, SpaceX will need to dramatically expand Raptor production (~31 engines per booster) and ensure that Raptor can reliably operate for 3-5+ minutes and reignite multiple times in flight. For Starship, SpaceX needs – at the minimum – to mature Raptor until it can burn continuously for 5-10 minutes to reach orbit. The company will likely also need to finish developing a custom vacuum-optimized version of Raptor for efficient orbital Starship flights.
Given just how quiet SpaceX is about most Raptor milestones, there’s a chance the company has already made substantial progress along those lines. For example, Starship SN8 – already well on its way to completion – will likely be the first prototype to fly with three Raptor engines and will need the ability to stop and start those engines in-flight to perform full-fidelity 20 km (~12.5 mi) launch and landing tests. Even just sustaining 330 bar for 10-100+ seconds without destroying the engine is likely several Raptor iterations away. Still, given SpaceX’s track record, all of those milestones are likely just a matter of time and perseverance.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
