News
SpaceX’s BFR and Raptor deemed “science-fiction” by French space agency manager
Speaking in a September 7th interview with French newspaper Courrier International, Dr. Francis Rocard – director of French space agency CNES’ solar system exploration program – had little good to say about SpaceX and CEO Elon Musk’s long-term ambitions in space, going so far as to question the CEO’s driving ethics and label the company’s next-generation rocket and propulsion system “science-fiction”.
- Ariane’s lineage. (ESA)
- Ariane 62 and 64. (ESA)
- Falcon 9 Block 5 will be absolutely critical to the success (and even the basic completion) of Starlink. (Tom Cross)
- BFR (2018) breaks through a cloud layer shortly after launch. (SpaceX)
Pehaps best known for its involvement in interplanetary space exploration missions like Rosetta and European launch provider Arianespace, CNES is providing a bit less than 25% of the $3.8 billion ESA is spending to develop the Ariane 6 rocket, as well as another $700m for the construction of a new launch pad and support facilities at the space agency’s French Guiana spaceport.
ArianeGroup, a public-private partnership and company, plans to begin replacing its highly successful Ariane 5 rocket with Ariane 6 as early as 2020 and is providing roughly $475 million of its own money to develop that launch vehicle. Ariane 5, which just completed its 100th successful launch on September 25th, costs between $165m and $220m (2016) per launch and is fully expendable, while Ariane 6 – also fully expendable – is targeting a slightly more practical cost between $100m and $130m per flight.

Differences between Ariane 5 and Ariane 6 are exceedingly minor, with the majority of differences found in the cost of each rocket. The end result for customers is essentially the exact same performance of Ariane 5 (or significantly worse) for at most a 40% discount. Ariane 6 will have light (2 solid rocket boosters) and heavy (4 SRBs) variants, and the light variant (known as Ariane 62) is expected to cost no more than 20% less than its heavy cousin while offering considerably less than half the performance.
This poses a major issue for ArianeGroup, as its current Ariane 5 only marginally functions as a commercial rocket thanks to an extensive reliance on dual-satellite launches, in which two different payloads are manifested on the same rocket in order to halve the cost each customer must pay. According to Arianespace, the best possible price a customer might wind up paying for one of Ariane 5’s two slots is ~$60m, essentially the same as the base price for a dedicated Falcon 9 launch. The problem, however, lies in the reality that Ariane 62 will be effectively incapable of performing the same dual-manifest launches but end up costing significantly more for a dedicated launch than the $60m-$100m Ariane 5 customers currently expect.
- This exploded view shows how Ariane 5 launches two large satellites at once. (ESA)
- A render showing Ariane 64. (Arianespace)
- A gif of Raptor throttling over the course of a 90+ second static-fire test in McGregor, Texas. (SpaceX)
- Yusaku Maezawa stands on the first BFR composite tank/fuselage section prior to his Sept. 17 announcement. (Yusaku Maezawa)
Ariane 64, at most a 40% cheaper replacement for Ariane 5, doesn’t even have a tentative launch debut date set, while Ariane 62 is pencilled in for a 2020 debut with several more launches soon after, potentially ramping up to a dozen missions per year in the mid-2020s. Rocard, while not directly involved in CNES’ own tenative work with reusable rocket experiments or its relationship with Ariane rockets, placed himself in an inopportune position by so bluntly dismissed and demeaning the near to long-term ambitions of SpaceX.
Not only are BFR and Raptor quite literally real enough to touch, but SpaceX’s Falcon 9 Block 5 is beginning to ramp up launch and reuse activities, placing the launch upstart in a position where the long-term survival – let alone success – of ArianeGroup and its Ariane 6 rockets seems no less likely than SpaceX’s realization of its Mars aspirations in the 2020s and 2030s. May the best rockets win.
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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.







