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NASA’s Mars InSight mission opens doors to hyper-affordable satellite industry
On November 26, 2018, NASA’s InSight lander arrived at Mars, our neighboring red planet, after a nearly seven month journey through deep space, but it didn’t travel alone. Twin satellites, collectively named “Mars Cube One” (MarCO), launched aboard the same Atlas V rocket on May 5, 2018 and followed closely behind. The MarCO mission was flown with InSight as a demonstration of communication and navigation capabilities for satellites in the CubeSat category. Each device measures about 14.5 inches by 9.5 inches, forming a six-unit CubeSat, and their mission represents a new chapter in citizen space exploration.
What are CubeSats?
CubeSats are tiny satellites meeting specific dimensions (multiples of 10 cm x 10 cm x 10 cm, 1 kg) and generally built with off-the-shelf components. They originated as an attempt to provide affordable access to space for the university science community and have since expanded into a multitude of other civilian projects, both non-profit and commercial. NASA in particular has worked to formalize the requirements for these types of satellite missions, even providing guides to assist with team efforts. CubeSat projects to date have included things like orbital telescopes, testing propulsion concepts (ion engines, solar sails), radio transmissions, and music via sonification.
Considering the average cost for a standard satellite is in the millions of dollars for both development and launch, the $50,000 or so the average CubeSat costs to build and launch is practically miniscule in comparison. Even projects with higher budget requirements can find funding readily enough, meaning that space exploration is no longer limited to large government projects and multimillion dollar corporate products. Now, with MarCO’s successful trip to Mars, Earth orbit is no longer the limitation for these small satellites. With companies like SpaceX pushing for multiplanetary habitation, enthusiastic citizen space explorers could perhaps assist with the scientific and technological research that will be needed to get us there.
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- A mockup of MarCO on display at a NASA InSight event. | Credit: Pauline Acalin
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- A mockup of MarCO on display at a NASA InSight event. | Credit: Pauline Acalin
The Mars Cube One Mission
MarCO’s primary mission was to demonstrate the ability to relay status information from the InSight lander to Earth as the craft descended onto the Martian surface. To accomplish this, the CubeSats transmitted signals to NASA’s already orbiting Mars Reconnaissance Orbiter which then forwarded the information to Earth. The successful transmissions provided scientists with information on InSight’s status much faster than would have otherwise been available due to orbital limitations. Additionally, the twin satellites used their own navigational systems to guide their journey to Mars, further advancing the cause of tiny satellites in deep space.
The success of the MarCO mission doesn’t just mean good news for future Mars citizen explorers. With the Moon back in the spotlight for exploratory missions and the growing interest in close, deep space targets like Venus, a wealth of data may be the near future arising from CubeSat projects. Where money was once a major inhibitor to space science projects, MarCO’s CubeSats have left the door wide open for the next generation of exploration to begin.
Watch the below video for more about NASA’s first deep space CubeSats:
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
