News
SpaceX to demonstrate weekly launch cadence: 3 launches in 14 days
LC-39A undergoing repairs and tests after the launch of CRS-11. (/r/SpaceX)
SpaceX is in the process of preparing to launch BulgariaSat-1, with the first attempt scheduled for Saturday, June 17th between 2:10 p.m and 4:10 p.m. EST. BulgariaSat-1 will be Bulgaria’s second satellite ever and will act as a telecommunications hub in geostationary orbit, around 30,000 miles above Earth.
Following a highly successful launch and docking of the eleventh cargo mission of its Dragon spacecraft, Launch Complex 39A has since undergone routine checks to verify its condition and has likely been lightly repaired. The static fire for the upcoming mission is scheduled as early as tomorrow. Both the static fire and launch were pushed back two days due to a 48 hour delay of the CRS-11 launch.
The launch of BulgariaSat-1 is already exceptional for several reasons. First and foremost, the Falcon 9 first stage to be used in the upcoming mission has already flown once before, assisting in the successful launch of Iridium’s first ten NEXT satellites in early January of this year. It will thus mark the second time SpaceX has truly reused a Falcon 9 first stage. There has even been a bit of circumstantial evidence that the choice to launch on a recovered F9 resulted in BulgariaSat-1 being moved ahead of Intelsat 35e, which is now scheduled for no earlier than July 1st. Regardless, another successful reuse will be a boon for a SpaceX in the throes of an unprecedentedly busy year of launches by once again demonstrating the viability of their program of reuse and thus hopefully swaying more customers to take the leap to reused rocket cores.
The second reason, as touched on above, is that BulgariaSat-1 will mark the beginning of a two week period in which SpaceX could potentially conduct three separate launches, two at Cape Canaveral and one at Vandenberg Air Force Base. If successful, this would demonstrate weekly single-vehicle launch cadence, something that has not been seen in the launch industry in quite some time. This weekly cadence, if successful, will demonstrate a maturing company that is truly preparing for extraordinary launch cadence. By using two pads, one in California and one in Florida, SpaceX will still be able to provide two weeks between launches in order to prepare each launch site for the next launch, while effectively launching once a week. While Vandenberg Air Force Base can only support polar orbit launches, LC-40 is currently deep into the process of being repaired and reactivated following the failure of a Falcon 9 late last year.
With LC-40 preparing for reactivation sometime in August or September, SpaceX will find themselves at long last with two viable all-purpose launch pads in very close proximity to each other. By staggering launches on each pad and continuing to maintain the two week pad turnaround time after launches, SpaceX could theoretically begin to sustain regular weekly launches as few as three months from now. A successful weekly cadence this month could reinforce that such a sequence of events is a possibility.
Iridium NEXT 1’s Falcon 9 first stage after recovery in the Pacific Ocean. (SpaceX)
SpaceX has long been working to rapidly increase its ability to launch frequently, and this year has been an exceptional example of several pieces fitting together. The company has begun to use an automated flight termination system, which will allow them to rely less upon the availability of Cape Canaveral’s Range Officers while crafting their manifest and launch schedules. Normally, the flight termination system in rockets is monitored by an actual team of people who have barely a few seconds to decide if rocket telemetry is less than nominal and prevent what is effectively a large missile from impacting populated areas. SpaceX has replaced this with an arguably much safer approach dependent upon their mature autonomous avionics systems, simply meaning that computers on board their rockets and spacecraft automatically analyze telemetry and control vehicle performance and guidance. SpaceX has been testing this system in a way that is almost identical to Tesla’s method of installing inert autonomy software that can learn without actually controlling the vehicle, and it is consequently only now being implemented after SpaceX and the Air Force have a high degree of confidence that it will outperform its human colleagues.
The ultimate goal of this automated flight termination system (AFTS), as well as many other significant changes to both the hardware of pads and vehicles, is to eventually allow SpaceX to accomplish Elon Musk’s long fabled and oft-ridiculed goal of 24-hour reusability, and thus 24-hour launch cadence. SpaceX and the USAF have both stated that AFTS alone will likely allow Cape Canaveral to support up to 48 launches a year. While shared between ULA and SpaceX, even 36 launches a year would effectively leave SpaceX with a shrinking launch manifest and significantly increased revenue and profit. This would speculatively allow them to more rapidly develop their pursuits of Mars, a vast constellation of broadband satellites, and more.
BulgariaSat-1 being prepared for launch. (SSL)
Nevertheless, this is all of course speculation and dependent upon many things going well. If SpaceX is able to successfully launch BulgariaSat-1 on June 17th, Iridium NEXT 2 on the 25th, and Intelsat 35e on July 1st, they will have successfully demonstrated the ability to support a weekly launch cadence and will have to do little more than wait for the availability of a second East coast pad to begin to take full advantage of it.
With ten launches scheduled between now and October and ten more launches scheduled between October and the end of December, it is guaranteed to be one incredible year for SpaceX and their fans.
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
