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SpaceX sticks dramatic drone ship landing, third reuse flight a resounding success
SpaceX has once more accomplished what the launch industry long dismissed as infeasible, conducting their third commercial reuse of a recovered Falcon 9 booster. This particular mission was tasked with launching the 5,200 kg SES-11/Echostar 105 communications satellite into a geostationary transfer orbit. Once it makes its way into the final geostationary orbit, the satellite can be expected to provide communications services to North America in the form of digital television.
After the Falcon 9 booster separated from the second stage, it conducted a rapid 180 degree flip in order to orient itself towards the landing target, an autonomous spaceport drone ship (ASDS) stationed several hundred miles East of the Kennedy Space Center. The hypersonic booster then slowed itself down from roughly 5,000 mph with a series of two burns, culminating in the stage’s second recovery after an orbital-class launch. The booster, 1031, was previously tasked with launching the 10th cargo Dragon mission to the ISS, later landing at SpaceX’s land-based LZ-1 pad in February 2017.
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- SpaceX recovered core 1031, which launched CRS-10, in February 2017. (SpaceX)
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- Falcon 9 1031 lifts off for the second time from LC-39A. (Tom Cross/Teslarati)
This time around, 1031 got a taste of the ocean while landing aboard Of Course I Still Love You (OCISLY), despite sea conditions that were deemed relatively rough and stormy. It is unlikely that 1031 will ever launch again, as it is a Block 3 Falcon 9 and thus intended to only be reused once or twice. Nevertheless, this core will add to SpaceX’s ever-growing fleet of both operational and decommissioned Falcon 9 cores, most of which are stored in and around SpaceX’s Florida facilities.
This landing and recovery was quite possibly the most dramatic yet for SpaceX. While rapidly reentering into Earth’s thickening atmosphere, the stage experienced extraordinary heating that resulted in the aluminum grid fins nearly glowing white, and the same camera caught gorgeous interplay between ionizing gases coming off the stage and its final landing burn. For a solid minute thereafter, ground control lost the video feed from the first stage, seemingly foreshadowing the core’s untimely demise. However, cameras aboard OCISLY maintained their live coverage and revealed the stage’s successful landing aboard the drone ship soon after.
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- Falcon 9 1031 on its way to OCISLY. (SpaceX)
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- An incredible view of Falcon 9’s older aluminum grid finds glowing white-hot during reentry. (SpaceX)
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- A gorgeous view of Earth’s curvature and orbital sunset. (SpaceX)
The second stage continued to orbit, coincidentally catching an incredible view of the sun setting behind Earth’s limb just before its first orbital insertion burn ended. After a coast period of some 20 minutes, the second stage reignited to boost the SES-11/EchoStar 105 satellite into its final transfer orbit, after which the satellite separated from the stage and continued on its way. The Falcon 9 second stage will eventually reenter Earth’s atmosphere and break apart before impacting the ocean, a process that may be expedited if the vehicle has enough residual fuel to hasten the orbital decay.
Put simply, SES-11/EchoStar 105 demonstrates SpaceX’s growing consistency and the resounding success they are having with the routinization of rapid launch cadence and commercially reusable rockets. The mission is the company’s 15th in 2017 alone, as well as the 12th successful recovery of a first stage this year and the 18th successful recovery total. More importantly, its launch was the third commercial reuse of a Falcon 9 first stage, paving the way for future reuses as the endeavor’s record of success continues without flaw.
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- Another example of the intense reentry this Falcon 9 experience during its recovery. (SpaceX)
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- 1031 seen just after landing aboard OCISLY. (SpaceX)
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
