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SpaceX set for third Falcon 9 reuse in October, swaps a 2018 launch with Arianespace

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Satellite operator and manufacturer SES has decided to juggle launches between SpaceX and Arianespace, a French launch provider.

Made for a number of reasons related to the economics of satellite operation and launch date uncertainty, SES has chosen to have SpaceX launch the heavier SES-12 satellite in Q1 of 2018, and Arianespace will now launch SES-14 “early Q1” of 2018. SES has experienced difficulties with some of its operational satellites that have led to decreased revenue, and the goal with the launch swap is to guarantee that SES will have an operational, revenue-generating satellite in place a few weeks sooner than they might have had if relying on SpaceX’s uncertain launch date.

The relationship between launch providers and launch customers has long been a complex legal process, but the upside with this flip is that thorough contracts anticipated this possibility and allowed SES flexibility in the eventuality that they need to expedite launches or change launch vehicles. It is intriguing that SES would adopt the necessary risks associated with switching launch vehicles months before launch to maybe gain an extra few weeks of additional revenue, but SES has admittedly had a difficult year for satellite reliability.

SES-12, the satellite SpaceX is now contracted to launch, weighs about 1000 kg more than SES-14 and will be pushing the limits of Falcon 9 recovery at ~5300 kg. Both satellites are completely electric, meaning they utilize efficient ion propulsion, which lowers the amount of fuel needed and allows satellite manufacturers to include far more revenue-generating payload on a satellite. The downside of ion propulsion is that it produces far less thrust than the average chemical rocket, meaning that all-electric satellites take months to reach their operational orbits, compared to a handful of weeks with chemical propulsion.

The SES-12 satellite SpaceX is expected to launch early next year. (SES)

While admittedly heavy, SpaceX will almost certainly attempt booster recovery following the launch of SES-12, unless SES requests that the launch be expendable. An expendable launch could potentially benefit SES by expediting the satellite’s trip to geostationary orbit, thus providing the company more revenue. However, this would have likely been acknowledged in SES’ press release. As such, we can look forward to a toasty booster recovery, likely sporting titanium grid fins to cope with the intense heating the core will experience.

Nearer term, SES-11 is pressing ahead for an early-October launch this year, and will mark SpaceX’s third commercial re-flight of a recovered Falcon 9 first stage. SES has long been one of the most avid and committed supporters of SpaceX, and the two companies built a relationship and signed contracts by 2011, before SpaceX’s Falcon 9 had even conducted its inaugural flight. SES has been and likely will continue to be a crucial example of the success of reuse.

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Meanwhile, SpaceX is looking to conduct its next launch on September 7th, and static fire attempt is expected Thursday, August 31 at their LC-39A launch pad in Florida. This mission will launch the USAF’s secretive X-37B spaceplane into a low Earth orbit, and while there will likely be no views of the payload on the livestream, that likely means that SpaceX will focus heavily on the booster recovery. NROL-76 was the last launch that featured this focus, and it produced some incredible views of the first stage as it returned to Earth.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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