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A SpaceX Starship rocket could take to the sky for the first time later this week
SpaceX has scrubbed its latest Starship static fire test for the third time since Friday but if another attempt succeeds within the next few days, a full-scale Starship prototype could lift off for the first time later this week.
SpaceX has attempted to perform a Starship static fire every day for the last three days without any luck, foiled by what must be mild technical issues and some extreme South Texas weather. That static fire – set to be Starship serial number 4’s (SN4) third – is required because SpaceX chose to replace the rocket’s installed Raptor engine (SN18) around 10 days ago after completing two successful tests on May 4th and 5th. Installed a few days after SN18 was removed, Starship and Raptor SN20 must now perform their own integrated static fire to ensure the complex systems are working properly.
Since SN4’s last test, SpaceX teams have been swarming the Starship prototype day and night, installing new COPVs (composite overwrapped pressure vessels; used to store high-pressure gas), new plumbing, and more. The specific purposes of all those in-situ changes can only be speculated at but what is clear is that SpaceX is preparing Starship SN4 for the first attempted flight test of a full-scale prototype, following in the footsteps of Starhopper’s bizarre but successful July and August 2019 hops. As SN4’s third Raptor static fire has slipped, though, so has that flight test. While the FAA has yet to officially publish a license for the 150m (~500 ft) Starship hop, NOTAMs (Notices to Airmen) filed recently suggest that that license and hop could come any day now.
Most recently, a NOTAM was filed on May 18th for what is likely Starship’s 150m hop test on Thursday, May 21st. Filed before SN4’s May 18th static fire test was aborted twice, that proposed May 21st hop test will almost certainly be delayed at least as long as the static fire that needs to precede it and is also dependent upon the FAA officially licensing the flight. The fact that NOTAMs are being filed for that flight strongly suggests that SpaceX and the FAA or in the late stages of hammering out a license, a process that can often involve a great deal of back-and-forth and compromise for experimental rocket launches.
Regardless, if or when Starship SN4 finally manages to fire up its new Raptor engine, it could be just a matter of days after that SpaceX attempts the first true Starship flight test. If everything goes according to plan, the ~30m (~100 ft) tall stainless steel rocket will lift off under the power of a single asymmetrically installed Raptor engine, capable of producing up to 200 metric tons (~450,000 lbf) of thrust with cryogenic liquid methane and oxygen propellant.
After lifting off from its ad-hoc South Texas launch mount, Starship SN4 will attempt to reach a peak altitude of 150m (~500 ft) and descend back down for a soft landing on an adjacent concrete pad, just like Starhopper did around nine months ago. A lot could go wrong: aside from using steel more than three times thinner than Starhopper’s, Starship SN4 will also be debuting an entirely new kind of landing leg, will be flying with asymmetric thrust, and will likely be using autogenous pressurization — all new challenges for SpaceX.
Nevertheless, there are also reasons for confidence. SpaceX has already successfully pressurized Starship SN4 all the way to 7.5 bar (~110 psi, sufficient for uncrewed orbital flight), performed multiple wet dress rehearsals and two Raptor static fire tests, and even tested what appears to be a new kind of cold gas thruster needed for roll control. Most importantly, even if Starship SN4 is destroyed during its next static fire or inaugural flight attempt, Starship SN5 is nearly at the same stage of completion and should be ready to take the reins almost immediately after the potential demise of its predecessor. With Crew Dragon’s inaugural NASA astronaut launch scheduled on May 27th, the rest of the month is set to be quite the event.
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
