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Here’s what SpaceX’s first Starlink satellite rideshare mission looks like [photo]
By way of customer Planet, SpaceX has published the first view of its inaugural Starlink satellite rideshare mission, revealing three mini fridge-sized Earth imaging satellites perched on a stack of dozens of Starlink spacecraft.
Scheduled to launch no earlier than (NET) 5:21 am (09:21 UTC) on June 13th, SpaceX’s eighth launch of Starlink v1.0 satellites (Starlink V1 L8) could usher in a revolutionary new way for smallsat operators to get their spacecraft in orbit. The company’s first Starlink rideshare customer has become a vocal supporter in the days before the first launch, praising unprecedentedly low launch costs SpaceX is able to offer. In fact, executives of Planet – now the world’s second most prolific satellite launcher after SpaceX – were so surprised at the prices the launch company was charging that they “could not believe what [they] were looking at”.
To account for the mass added by three Planet SkySats (~350 kg or 770 lb), SpaceX revealed earlier today that it had removed two Starlink satellites – each weighing ~260 kg (570 lb) – from the original stack of 60 spacecraft. Aside from confirming that Falcon 9 is balancing at the very edge of its performance envelope to launch ~16 metric tons (~35,000 lb) of satellites while still enabling booster recovery, the removal of two Starlink satellites to make way for rideshare payloads hints at an incredible level of flexibility available to SpaceX.
For customers of the fledgling small satellite rideshare program interested in procuring launch services directly, Planet’s SkySats are almost perfectly sized to extract the most bang for the buck from SpaceX’s current pricing system. Planet likely spent a bit more to have SpaceX build it a custom adapter and deployment mechanism for two launches, but the company’s launch costs for six SkySats – split between two June 2020 Starlink missions – could be as low as $6 million based on SpaceX’s own calculator. Due to the general secrecy of launch prices, it’s hard to accurately compare, but Planet would have had to pay upwards of $40 million – almost seven times as much – to launch six SkySats on dedicated Rocket Lab Electron rockets.
In return for $5-30+ million dollars in savings, Planet’s six new SkySats will have to work to raise their orbits from around 300 to 450 kilometers (190-280 mi) after deploying from SpaceX’s Starlink satellite stack. That work will expend a significant portion of their propellant reserves, likely cutting several months (up to several years) off of their operational lifespans. Believed to cost around $3-5 million each, however, the money Planet has saved by launching SkySats with SpaceX could potentially pay for an entirely new batch of six more satellites (or more).
With cost savings like that at hand, it’s no wonder that Planet’s Mike Safyan – Vice President of Launch – described SpaceX’s Starlink rideshare program as “incredibly competitive” and “one of the more significant programs for the smallsat industry”. Having overseen the launch of hundreds of Planet’s Dove and SkySat satellites over the last nine years, it would be hard to find a more qualified industry voice on the subject. Indeed, the rest of the smallsat industry is also responding positively to SpaceX’s new offering, with dozens of commercial spacecraft already assigned to future rideshare launches.
At this point, SpaceX plans to offer rideshare opportunities on Starlink missions every month for the indefinite future, all while charging as little as a $1 million per slot. Thanks to third-party launch services companies like Spaceflight and Exolaunch, much smaller cubesats and nanosats will also have ways to get into orbit on SpaceX rockets for much less than the company’s base price. Meanwhile, scheduled to launch no earlier than June 22nd, SpaceX’s very next Starlink launch – V1 L9 – is expected to include three more Planet SkySats and two similar BlackSky imaging satellites.
If SpaceX can maintain the impressive inertia of its Starlink launch and rideshare efforts, it’s safe to say that the company is going to be a towering presence in the smallsat launch industry for the foreseeable future.
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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
