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SpaceX is about to crush the record for most satellites launched on one rocket
While delayed from Friday to Saturday, SpaceX’s next Falcon 9 launch still appears to be on track to obliterate the world’s current record for most satellites launched on a single rocket.
Currently set at 104 satellites by an Indian PSLV rocket launch in 2017, all signs point to SpaceX beating that record by almost 50% on its very first dedicated Smallsat Rideshare Program launch. Kicked off in 2019, not long after SpaceX completed its first dedicated rideshare launch for company Spaceflight Industries in December 2018, the Smallsat Program aimed to offer exceptionally affordable prices to companies and institutions open to rideshare arrangements.
While primarily centered around more frequent but mass and volume-limited Starlink tag-a-longs, three of which SpaceX has already completed, executives also promised regular bus-like Falcon 9 launches entirely dedicated to rideshare payloads. SpaceX’s first such mission, known as Transporter-1, is now scheduled to launch no earlier than 9:40 am EST (14:40 UTC) on Saturday, January 22nd.
In a surprising but welcome development, SpaceX continues to work closely with Celestrak – an extensive space-tracking catalog – and provided prelaunch data estimating the number of satellites and their positions shortly after deploying from Falcon 9’s upper stage. Notably, the data offers the first unofficial but likely reliable way to determine the number of spacecraft set to be deployed on SpaceX’s first dedicated Smallsat Program launch.
It’s extremely difficult to determine exactly how many satellites are aboard without an official account due to the fact that no less than four companies – Exolaunch, Spaceflight, Nanoracks, and SpaceX itself – are simultaneously operating as payload integrators with their own separate deployment systems (and even spacecraft). Uncertainty aside, based on unofficial analysis of the numbers provided to Celestrak by SpaceX, Transporter-1 will likely be carrying anywhere from 133 to 155+ small satellites come liftoff. In other words, SpaceX is set to beat the current record of 104 satellites by 25-49%.
While adding complexity, SpaceX’s willingness to effectively subcontract large portions of rideshare launch service management to other companies also gives prospective customers ways to get their satellites into orbit at prices far lower than what SpaceX directly offers. Per SpaceX.com, the company continues to require a minimum order of $1 million for 200 kg to sun-synchronous orbit (SSO) and customers can choose to buy additional mass for $5,000 per kilogram. Those prices may sound expensive but are actually extremely competitive relative to the rest of the space launch market.
However, $1 million would be about as expensive as it gets for average nanosatellites (~1-10 kg). Instead, intermediaries like Exolaunch and Spaceflight work to win and wrangle multiple customers into a certain timeframe and then purchase necessary space aboard one or more optimal rideshare launch opportunities. In the case of SpaceX, for example, an intermediary can pay SpaceX $2 million for two docking ports and 400 kg of payload capacity, find 20 customers in need of launch, and charge each customer an average of $200,000 per satellite while still making a profit.
Transporter-1 launch delays aren’t exactly shocking when one considers the fact that SpaceX is attempting to manage the needs of multiple different launch servicers and several dozen customers. To an extent, every customer satellite is unique and has unique requirements. In several cases, some of the mission’s payloads are quite literally experimental, adding even more challenges and uncertainty.
With any luck, the stars will align and allow Falcon 9 to launch Transporter-1 this Saturday. Stay tuned for updates and webcast details.
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
