News
SpaceX installs Starlink dish on upgraded Starship prototype
In the latest in a long line of twists, SpaceX has requested permission from the FCC to operate a Starlink internet antenna installed on Starship serial number 15 (SN15).
The first in a planned batch of four or more upgraded Starship prototypes, SN15 was rolled a mile down the road from SpaceX’s South Texas factory to its suborbital launch pad late last week. Around the same time that its aft tank section was being prepped for nose installation on April 3rd, some of the first 360-degree views of the rocket revealed an unusual porthole-esque addition just above the Starship’s forward tank dome. As far back as Starhopper in 2019, Starships have used that space between tank and nosecone as an installation point for avionics, Tesla batteries, and a number of radio and GPS antennas, among other things.
The new hardware generally fell under the radar but most that took note assumed it was some kind of antenna upgrade. As it turns out, that speculation was almost certainly correct – but not in the way most expected.

When SN15’s new antenna first appeared, the author speculated that it bore a striking resemblance to a SpaceX Starlink dish. However, another forum user argued that it was more likely an upgraded S-band antenna akin to those used on SpaceX’s Falcon rockets. The author later noted that the S-band antenna pass-through located on the interstage of Falcon boosters was almost the same size as the new antenna and shroud visible on Starship SN15, seemingly closing the case.

Nine days later, SpaceX asked the FCC for permission to operate a Starlink dish (user terminal) in Boca Chica “at altitudes not to exceed 12.5 km” during operations “on the ground or during test flights.” In other words, the antenna installed on Starship SN15 is almost certainly a Starlink dish. Surrounded by an aerodynamic shroud, the antenna is firmly fixed on the rocket and would rely entirely upon cutting-edge phased array beamforming to electronically ‘steer’ itself to both transmit and receive from one or more of almost a thousand operational Starlink satellites currently in orbit.
In SpaceX’s FCC Special Temporary Authority (STA) request, the company curiously asked for the 60-day test period to begin on April 20th. Even if the FCC moves extremely quickly and grants the STA within a few days to a week of SpaceX’s April 9th request, it’s unlikely that the company would delay Starship SN15 test or launch plans by almost ten days to wait for permission to use the rocket’s new Starlink antenna. In other words, while SN15 is the first Starship to have a Starlink antenna installed, there’s a decent chance it won’t be the first to actually put that capability to the test – both on the ground or during a launch.
While unlikely, the fact that SpaceX’s Starship SN15 Starlink antenna installation is almost the same size as Falcon 9’s reliable but far more basic S-band setup also begs the question of whether success on Starship test flights could eventually lead to the addition of Starlink dishes on future Falcon boosters. Regardless, Starship SN15 is on track to kick off a busy week of qualification testing in South Texas. If the rocket suffers any significant delays, as has admittedly been the norm for Starship prototypes, there’s a good chance SN15 could begin testing its Starlink dish around the middle of next week.
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.”
News
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.