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SpaceX hit by back to back Falcon 9 and Starship rocket delays
SpaceX has been hit by multiple back-to-back Falcon 9 launch and Starship test delays in a period of a few days, ending the company’s second attempt at a potentially record-breaking month.
Originally scheduled to launch no earlier than (NET) June 22nd, give or take, SpaceX’s own Starlink-9 satellite mission kicked off the misfortune and has suffered the most. After SpaceX announced an indefinite delay on July 11th to allow for “more time for checkouts”, Starlink-9 is not expected to launch for several more days at best. On July 13th, SpaceX announced that another summer mission targeting a NET July 14th launch had also been delayed indefinitely to allow teams to inspect the Falcon 9 rocket’s upper stage and potentially replace hardware.
Those two delays have had follow-on effects on subsequent launches planned in late July and early August but the actual end-results will be hard to determine until SpaceX has settled on alternate launch dates for Starlink-9 and ANASIS II. Meanwhile, all throughout those orbital-class launch delays, the first Raptor engine test with SpaceX’s fifth full-scale Starship has been consistently delayed and is now expected no earlier than this week (roughly July 15-19). The swath of delays have been so pronounced and oddly simultaneous that CEO Elon Musk even weighed in on Twitter yesterday, shedding a bit of light on the situation.
On July 13th, in response to a Spaceflight Now article detailing a few of those setbacks, Musk revealed that SpaceX is “being extra paranoid” – presumably the cause of most of the recent delays. Per Musk, “maximizing [the] probability of [a] successful launch is paramount” to SpaceX – not exactly a shocking revelation but still good to hear. Over the last six or so weeks, SpaceX has attempted to substantially ramp its launch cadence, targeting an unprecedented four launches in June 2020.
Delays reared their head, however, beginning with Starlink-9 around the last week of the month. SpaceX simply carried its four-launch-month ambitions into July, although that goal has already been pushed out of reach before the first launch of the month. As of July 1st, SpaceX has completed 11 launches in 2020 and has at least another 16 within tentative launch targets in the second half of the year. To complete all 16, the company would have to average almost three launches per month for the rest of 2020, a cadence it’s only managed to sustain for two or so months at a time.
Before ANASIS II’s indefinite delay was announced, Falcon 9 booster B1058 was on track to smash the world record for the fastest turnaround of an orbital class rocket, beating NASA’s Space Shuttle by ~20% (9 days). Somewhat ironically, some concerns surrounding the unflown upper stage have triggered said delay, while the record-breaking B1058 booster was apparently ready for launch. Like Starlink-9, ANASIS II’s delay is indefinite, meaning that it could last just a few days or stretch weeks into the future. If SpaceX manages to turn around for a second launch attempt before July 26th, though, B1058 still has a shot at becoming the world’s most rapidly reusable orbital-class rocket.
Meanwhile, Starship SN5 has been slowly wading through delay after delay as SpaceX’s South Texas team prepares the rocket for its first wet dress rehearsals (WDRs) with live propellant and its first Raptor engine ignition tests (i.e. static fires). As few as a few days after that test is complete, SpaceX wants to launch the massive steel rocket on the first full-scale hop test, potentially reaching 150m (500 ft) or higher before attempting to land nearby.
Prior to numerous delays, Starship SN5’s first static fire was expected to occur as early as late June or early July. As of now, SpaceX appears to be targeting the first wet dress rehearsal (WDR) with live methane and oxygen propellant (a precursor to any flight test) no earlier than (NET) July 15th to test SN5’s “fuel pump.” If successful, SpaceX would presumably move into static fire operations within a few days, followed another few days later by the first hop test attempt if the static fire was also successful.
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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
