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SpaceX on track to launch 20 Falcon 9 rockets in the first half of 2021
The second half of SpaceX’s June 2021 flight schedule has begun to firm up, raising the odds of another four-launch month as the end of the first half of 2021 fast approaches.
In an increasing rarity among a slew of pandemic and shortage-stricken satellites, rockets, and launch flows, SpaceX’s fourth upgraded GPS III satellite launch for the US military has remained on track for more than four months and has had a firm launch date for more than eight weeks. Further, the GPS III SV05 navigation satellite’s launch schedule actually moved up from July 2021 and has been scheduled to launch no earlier than June 17th, 2021 since mid-April. The only noteworthy change made in the subsequent two months was a minor shift in launch time, which was moved from 6-9 pm EDT to a 15-minute window stretching from 12:09 pm to 12:24 pm (16:09-16:24 UTC).
More recently, Spaceflight Now was first to report that Transporter-2 – SpaceX’s second dedicated Smallsat Program mission and fourth June 2021 launch – settled on a launch target sometime during daylight on June 24th. A large portion of rideshare payload integration – assembling a massive ‘stack’ of dozens of satellites and dispensers – has already been completed, improving the odds that Transporter-2 will launch on schedule.
As was SpaceX’s main intent with its Smallsat Program, the company effectively closes the metaphorical doors on a given Transporter mission around a week before launch. From then on, if issues arise with any minor integrated rideshare payload or something delays a planned payload from being integrated in time, the customer is more or less automatically rebooked on SpaceX’s next Transporter mission. That means that delays or pre-launch anomalies that inevitably impact a small fraction of a dedicated rideshare mission’s total payloads don’t end up delaying dozens to 100+ other spacecraft.
Crucially, for the unlucky few customers that find themselves essentially booted off the bus, SpaceX nominally rebooks them at no extra charge on the next Transporter mission. While the program is only just beginning, SpaceX has already scheduled four dedicated Transporter launches between January 2021 and Q1 2022, meaning that payloads unable to launch on their scheduled flight will have to wait approximately six months for the next launch opportunity. While undoubtedly more than a little inconvenient, SpaceX is effectively betting that customers are willing to trade some degree of flexibility for low prices and launch dates firmly scheduled months in advance.
So far, that bet has unequivocally paid off and SpaceX has secured contracts to launch hundreds of rideshare payloads in just a few years.
Meanwhile, SpaceX’s June 17th GPS III SV05 mission will be the first time ever that the US military launches a “national security” payload on a flight-proven commercial rocket. Falcon 9 booster B1062 debuted with the successful launch of GPS III SV04 in November 2020. Seven months later, GPS III SV05 will be its second launch. If successful, it’s likely that the US military will allow SpaceX to use Falcon 9 B1062 a third time to launch GPS III SV06 – tentatively scheduled sometime in Q4 2021 or early 2022.
If both GPS III SV05 and Transporter-2 missions are successful, June 2021 will be SpaceX’s third four-launch month ever, representing an average of 48 launches per year if sustained for 12 months. All four June launches are also for paying customers, bringing welcome revenue to an H1 2021 manifest that’s been almost entirely populated by internal Starlink missions. Perhaps most significantly, a four-launch June will also mark 20 orbital SpaceX launches in the first half of 2021, leaving the company on track to achieve 40 launches this year if it can replicate that success in the second half.
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
