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SpaceX wins FCC approval to launch first polar Starlink satellites amidst rideshare chaos
In a sign of the regulatory agency’s growing confidence in SpaceX, the FCC has rapidly approved a request to add ten Starlink satellites to an imminent Falcon 9 rideshare launch.
Known as Transporter-1 and originally scheduled to launch as early as December 2020 or January 14th, SpaceX delayed its first dedicated Smallsat Program mission to January 21st for unknown reasons last week. While there is no confirmed cause, any one of several recent events could have easily contributed to or fully caused the delay. In a rare ground processing failure, DARPA (Defense Advanced Research Projects Agency) revealed that two “risk reduction” technology demonstrator satellites were damaged on January 4th when their deployment mechanism was accidentally triggered during processing.
In other words, the two spacecraft may have been shot out of their dispensers by their spring-loaded deployment mechanisms, falling onto a processing bench or even off of the much taller payload stack. Meanwhile, on the very same day, space tug startup Momentus Space announced that it was removing its first Vigoride tug from Transporter-1 “for additional time…to secure FAA approval of…payloads.” Finally, once more on January 4th, SpaceX filed a request with the FCC to manifest and launch its first polar Starlink satellites to better take advantage of Transporter-1’s full capacity.
If launched, the ten spacecraft would be the first of several hundred planned polar Starlink satellites necessary for SpaceX’s massive internet constellation to serve some of the most remote communities on Earth. Referring to an orbit centered more around Earth’s north and south poles than its equator, the polar Starlink launch opportunity is available because SpaceX’s Transporter-1 mission – set to carry several dozen small satellites – is headed for a nearly polar “sun-synchronous orbit” (SSO).
For Starlink, sun-synchronous and polar orbit satellites will allow the constellation to serve customers and communities in high northern latitudes – possibly up to and including the Arctic and Antarctic once fully deployed.
SpaceX supported the US East Coast’s first polar launch in more than half a century in August 2020, effectively opening the same polar corridor that’s now allowing the company to launch Transporter-1 – and polar Starlink satellites – from the same pads it launches almost every other mission. It remains to be seen if SpaceX will one day perform dedicated polar Starlink launches from its West Coast launch pad – reactivated in November 2020 after spending almost a year and a half mothballed.
Perhaps the most impressive aspect of Starlink’s imminent polar launch debut is just how quickly both SpaceX and the FCC acted to make it happen. When SpaceX requested permission on January 4th, then just 10 days from the launch date, the historical odds of the FCC responding at all – let alone approving the request – in time were practically zero. Instead, the agency got back to SpaceX with a lengthy conditional approval (PDF) four days later. Although the FCC has yet to approve a request to move almost all of SpaceX’s 4,408 Phase 1 Starlink satellites to much lower orbits, the agency was apparently chomping at the bit to allow a limited trial at those lower orbits.
Dropped from an orbital altitude of ~1200 km (~750 mi) to 560 km (~350 mi), the ten Starlink satellites SpaceX now has permission to launch on Transporter-1 likely represent less than 20% of one polar ‘plane’ of Starlink satellites. In simpler terms, those ten satellites will only be capable of supporting a very limited test of polar Starlink internet, likely resulting in intermittent, unreliable coverage that won’t be viable for civil use until the FCC permits SpaceX to launch one or several full planes. Still, receiving approval to launch any number of satellites mere days after filing a request suggests that full FCC approval is a now question of “when,” not “if.”
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
