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SpaceX targeting 100 launches in 2023
CEO Elon Musk says that SpaceX is aiming to complete up to 100 launches in 2023 while the company continues to set records in 2022.
In the history of orbital spaceflight, no family of rockets – let alone a single variant like Falcon 9 – has completed more than 61 successful launches in one calendar year. The cadence target Musk is suggesting is unprecedented and would be an extraordinary challenge even for SpaceX, a company that just completed its 50th successful Falcon 9 launch in a little over 12 months. However, it’s less impossible than it sounds.
After a few years of stagnation at a cadence of roughly 15-20 launches per year from 2017 through 2019, and an impressive doubling from 2019 to 2020 as Starlink entered its buildout phase, SpaceX effectively flipped a switch in 2021. 2020 appears to have been a sort of trial run, demonstrating that SpaceX was able to launch one Falcon 9 rocket every two weeks. At 26 launches for the year, it broke SpaceX’s previous record – 21 launches, set in 2018 – by almost 25%. But something changed in 2021.
In the first half of the year, SpaceX launched 20 times, demonstrating an unexpected 50% improvement over 2020’s annual cadence. In the second half of the year, SpaceX had two strange gaps of almost two months each, during which it didn’t once. In the other two months, though, SpaceX launched 11 times, effectively demonstrating another launch cadence improvement of more than 50% over the first half of the year. Finally, SpaceX completed 6 of those 11 launches in a period of 4 weeks near the end of the year – an annual cadence of 78 launches if sustained for a full year.
Thus far, 2022 has been an eight-month extension of the last few weeks of 2021. SpaceX even appears to have improved upon itself again, accelerating its launch cadence throughout the year. In the first half of the year, SpaceX managed 27 Falcon 9 launches, nearly beating the 31-launch record it set in 2021 in half the time and demonstrating an annual cadence of up to 54 launches per year if sustained.
Instead of continuing that already impressive pace in the second half of the year, SpaceX launched six times in July and another six times in August, sustaining an annualized cadence of 72 launches per year for two full months. At the moment, that could be considered a fluke. But if SpaceX manages another six launches in September, which is the plan, it can likely be deemed a new normal for Falcon 9 launch cadence.
From 60 to 100
To achieve 100 Falcon launches in 2023, SpaceX would need to find a way to launch an average of eight times per month, an improvement of 33% over the six-launch months the company appears to be increasingly comfortable with. Likely thanks to intentional planning and overengineering done years in advance of the payoff, SpaceX’s fleet of Falcon launch pads and recovery ships – drone ship landing platforms especially – appear to be capable of achieving that lofty cadence goal.
Assuming all three pads were able to consistently operate at their fastest demonstrated turnaround times with little to no downtime, they could theoretically support around 115 launches per year. SpaceX drone ship availability is another concern, but the current fleet of three ships can theoretically support 100 Falcon 9 landings in one year if each ship is able to recover one booster every 11 days. Of course, achieving such tight margins would require extremely inflexible scheduling and leave almost no margin for error – perhaps just a day or less per launch, on average.
Without significant upgrades, either feat would be extremely impressive on its own. Stacking those challenges, launching 100 times in 2023 would require an extraordinary effort and a good amount of luck. But it’s far from impossible. Gven the abrupt and impressive progress SpaceX has made and continues to make in 2021 and 2022, it’s also a reasonable goal: far from easy but well within reach with some moderate improvements.
Finally, Musk’s calculus may include a number of launches of SpaceX’s next-generation Starship rocket, which would make the task even more achievable for Falcon 9 and Falcon Heavy. Time will tell, and SpaceX’s activity in the last four months of 2022 will make it clear whether 2023’s 100-launch target is truly feasible.
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
