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SpaceX to launch “next-generation satellite-servicing vehicle” for Northrop Grumman
Northrop Grumman subsidiary SpaceLogistics has selected SpaceX to launch its first Mission Robotic Vehicle (MRV) – better described as the company’s “next-generation satellite-servicing” spacecraft.
As far as SpaceX’s Falcon 9 rocket is concerned, MRV-1 is just another geostationary satellite for it to deliver to a transfer orbit around 35,800 kilometers (~22,200 mi) above Earth’s surface as early as “spring 2024.” As of now, SpaceX Falcon rockets have launched more than 35 satellites to geostationary transfer orbits (GTO) and have at least 18 more geostationary launch contracts on its manifest – 19 including MRV-1. MRV-1 is no ordinary geostationary communications satellite, however.
MRV isn’t a communications satellite at all, in fact. Instead, designed to be the second generation of Northrop Grumman’s satellite life-extension spacecraft, MRV aims to build upon the successes of the company’s first two Mission Extension Vehicles (MEVs). The first (MEV-1) became the first spacecraft in history to dock with another spacecraft in geostationary orbit (GEO) in February 2020. The second, MEV-2, successfully launched and docked with a different geostationary communications satellite in 2021. Both MEVs did exactly what they were supposed to, effectively giving their host satellites – Intelsat 10-02 and 901, both more than 15 years old – at least five more years of operational life.
While SpaceLogistics’ accomplishments are thus extremely impressive, the general MEV concept and parts of its execution have some flaws. First, the ‘service’ offered appears to be extremely expensive, costing Intelsat – the first and only customer, thus far – at least $13 million per year for the five years MEV-1 will be servicing Intelsat-901. No other MEV contracts have been confirmed, which is not a major surprise. Assuming zero upfront costs for prospective customers, $65 million for an extra five years of operations represents a substantial fraction of the price of some simpler replacement satellites, many of which are now designed to operate for at least 15 years.
Put simply, at the secretive price point SpaceLogistics is offering, MEVs are a mostly ambiguous financial proposition for the geostationary satellite communications industry, which tends to operate on razor-thin margins. Though SpaceLogistics hasn’t said as much, MRV seems to be a response to the issue of affordability. Instead of building one large, expensive MEV that can only service a single GEO satellite, MRV aims to operate more like a multipurpose space tug.
To complement MRV, Northrop Grumman is also developing Mission Extension Pods (MEPs) – smaller spacecraft designed to still add at least 5-6 years of life to an aging GEO satellite. MRVs – each about 3 tons (~7000 lb) will theoretically be able to carry several MEPs (400 kg/900 lb apiece) into geostationary orbit and install the pods on several different satellites. Additionally, it appears that SpaceLogistics will sell the pods outright, presumably precluding the need for expensive recurring service contracts like those Intelsat signed for MEV life extension.
According to Northrop Grumman, MEPs will actually propel themselves into GEO before being recaptured and installed by MRV – requiring two rendezvous and docking maneuvers per satellite instead of one. It’s entirely unclear why that added complexity is preferable over the obvious alternative, in which MRV would launch with a number of MEPs, carry them to GEO, and install them when needed.
Nonetheless, assuming Northrop Grumman plans to offer MEP life-extension pods for less than it charged for MEVs, it’s not hard to imagine the service becoming a no-brainer for communications providers with satellites that are close to running out of propellant. If the cost of several extra years of operational life is lower than the cost of an equivalent fraction of the lifespan of a new replacement satellite, it’s difficult to imagine how satellite operators could afford not to take advantage of life extension.
Northrop Grumman says it’s already sold one MEP – to launch with MRV-1 on Falcon 9 – to Australian telecom provider Optus and has a full manifest for MEPs “through mid-2026.”
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
