News
SpaceX beats Falcon 9 recovery records after company’s heaviest launch ever
Completed on May 30th, SpaceX’s latest Falcon 9 booster recovery smashed several internal speed records, unofficially cataloged over the years by watchful fans.
In short, as the company’s experienced recovery technicians continue to gain experience and grow familiar with Falcon 9 Block 5, the length of booster recoveries have consistently decreased in the 12 months since Block 5’s launch debut. Already, the efficiency of recovery processing has gotten to the point that – once SpaceX optimizes Block 5’s design for refurbishment-free reuse – there should be no logistical reason the company can’t fly the same booster twice in ~24-48 hours.
The road to rapid reusability
Rarely will it make headlines, but the fact remains that SpaceX’s ultimate goal is not just to reuse Falcon 9 (and other) boosters, but to do so with a level of routine efficiency approaching that of modern passenger aircraft. It’s reasonable to assume that chemical rockets might never reach those capabilities, but they may certainly be able to improve enough to radically change the relationship between humans and spaceflight.
Along that line of thinking, SpaceX CEO Elon Musk decided years ago that an excellent representative goal for Falcon 9 would be to launch the same booster twice in 24 hours. In the last year or so, that largely arbitrary target has changed a bit and is now believed to be a bit wider, aiming for booster reuse within a few days of recovery. This is a pragmatic adjustment more than a technical criticism of Falcon 9.
In general, Falcon 9 simply doesn’t have the performance necessary for routine reusability timelines measured in hours. The majority of SpaceX launches need enough of Falcon 9’s performance to necessitate recovery aboard one of SpaceX’s two drone ships, typically stationed at least a 200-300 km (100-200 mi) offshore. That fact alone almost single-handedly kills any chance of sub-24-hour booster reuse, given that the process of towing the booster-carrying drone ship back to port happens at a max speed of ~10 mph (15 km/h). Just gaining permission to enter the port itself often involves waits of 6+ hours a few miles offshore.
Low orbit, low mass Falcon 9 missions are much more promising for extremely rapid reusability, given that both of SpaceX’s West and East coast landing zones are located just a few miles (or less than 1500 feet, in the case of LZ-4) from their corresponding launch pads and processing facilities. However, these missions are quite rare, while SpaceX’s own low Earth orbit (LEO) Starlink launches will likely involve payloads so heavy that long-distance drone ship recoveries will be necessary.
Finally, there are Falcon Heavy launches, most of which will allow for both side boosters to return to the Florida coast for landings at LZ-1/LZ-2. However, these pose their own barriers to rapid reuse, mainly due to the fact that side boosters – while technically just Falcon 9 boosters – would need major changes to support a single-stack Falcon 9 launch. Falcon Heavy launches simply aren’t going to happen back-to-back over a period of 24-48 hours, so that option is also out of the question.
This means that SpaceX’s only real option for practical rapid reuse is to instead focus on something closer to a weekly launch capability for Block 5 boosters, meaning that the same booster would be able to launch, land, return to shore, and prepare for the next launch in the same week. Even then, launch site readiness may still stand in the way of truly radical improvements in booster reuse and launch frequency. After each launch, SpaceX’s pads and transporter/erectors take a significant beating, requiring routine repairs and maintenance before returning to flight-readiness. Barring major improvements, SpaceX has demonstrated minimum launch-to-launch times of roughly 10 days, and cutting that figure by 50-90% will be a major challenge for a rocket as powerful as Falcon 9.
B1049 takes a step forward
Despite the many logistical reasons that Falcon 9 will likely never lend itself to routine ~24-hour reusability, having that latent capability would still mean that the hardware is advanced enough to offer that efficiency. Even if SpaceX can’t literally fly each booster at its operational capacity, nearly refurbishment-free reflights will still translate into dramatically lower launch costs. Modern civilian aircraft need not fly every second of every day to still be affordable to operate (excluding amortization costs).
Ultimately, SpaceX has been taking small steps in that direction ever since the company began recovering (and reusing) Falcon 9 boosters. Falcon 9 B1049’s third recovery has been one of the best (and most record-breaking) steps yet, but those records were only just broken The most significant statistic to come out of the post-Starlink v0.9 recovery is that B1049.3 took less than 30 hours to go from docking in port to being horizontal on a SpaceX booster transporter. The previous record-holder was Falcon 9 B1046.2, requiring approximately 40 hours for the same feat. B1049.3 also holds the record for fastest recovery overall – just 48 hours from docking to being transported to a SpaceX hangar – but only beat B1051 by about half an hour. In general, Falcon 9 Block 5 has been privy to consistently quick recovery operations and B1049 is just the latest in a long line of reusable SpaceX rockets.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
