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SpaceX awarded double-satellite Falcon 9 launch contract, sixth win of 2019
SpaceX continues to reap the benefits of strong market demand for Falcon 9’s combination of affordability and performance with an announcement that the company has won its sixth launch contract in 2019.
Announced on July 3rd by Space Norway and several other stakeholders, a SpaceX Falcon 9 is scheduled to launch an identical pair of communications satellites to an unusual orbit no earlier than late 2022. Northrop Grumman will build both ~2000-kilogram (4400 lb) spacecraft.
Known officially as the Arctic Satellite Broadband Mission (ASBM), Space Norway has partnered with satellite operator Inmarsat and the Norwegian Ministry of Defense to provide connectivity to civilian and military users in and around the Arctic. Additionally, the US Air Force will have its own communications payloads on both satellites, rounding out the extremely busy mission.
The two ASBM satellites will be built around the GEOStar-3 bus, originally introduced by Orbital Sciences Corporation (acquired by Alliant Techsystems to become Orbital ATK, then acquired by Northrop Grumman to become Northrop Grumman Innovation Systems). Each satellite will produce 6 kW via solar arrays, while the GEOStar-3 bus can support all-chemical propulsion, all-electric propulsion, or a hybrid approach. Falcon 9’s 2022 launch of ASBM will mark the first time that GEOSat-3 satellites have utilized their stacking capability, with both spacecraft heading to orbit on the same rocket.
Perhaps the most unique aspect of the ASBM mission is the extremely unusual orbit Falcon 9 will be launching them to. According to info published by Space Norway on June 24th, they will be targeting a final orbit roughly comparable to the Molniya orbits originally used by Soviet Union military communications satellites as early as the mid-1960s. ASBM’s orbits will also be highly elliptical and approximately polar, with an apogee of 43,000 km (26,700 mi) and a perigee of 8000 km (5000 mi). Traditionally, Molniya orbits had much lower perigees, but the higher perigee of ASBM satellites should allow them to operate indefinitely without having to worry about atmospheric drag lowering their orbits.
The ASBM satellites will reach their perigee somewhere over Antarctica and will generally power down their communications hardware until they are back over the Arctic. By having two satellites, the other satellite will be able to guarantee continuous coverage while its twin is out of contact.
With an overall payload weight around 4000 kg (8800 lb), it’s likely that Falcon 9 has the performance necessary to place the spacecraft in a transfer orbit (likely ~300 km by 43,000 km) and safely land on a SpaceX drone ship, in which case the satellites would raise their perigees themselves. It’s unlikely that a recoverable Falcon 9 launch has enough performance to send the satellites directly to their final orbits, although an expendable mission might be able to do it.
Regardless, this launch contract is yet another sign that SpaceX will continue to have strong demand for Falcon 9 launch services in the coming years. ASBM is the sixth win for SpaceX just in the last four or so months, beginning in February with three US military contracts, followed by a NASA contract in April and a Korean mission in June.
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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.”
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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
