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SpaceX’s second Super Heavy booster enters production in South Texas
In a rare burst of visible activity, SpaceX’s South Texas Starship factory has begun fabricating a second Super Heavy booster and taken a significant step forward on the first prototype.
Set to be the largest operational rocket stage ever built by more than a factor of two, Super Heavy is the booster tasked with launching a fully fueled and loaded Starship (~1400 mT or 3 million lbs) out of the bulk of Earth’s atmosphere. Powered by up to 28 Raptor engines, Super Heavy and Starship will weigh upwards of 5000 metric tons (~11 million lbs) and produce anywhere from 5600 to 7700 metric tons (12.5-17 million lbf) of thrust at liftoff.
Most importantly, though SpaceX CEO Elon Musk has noted that an optimized Starship might be able to reach orbit on a one-way trip, a giant, reasonably efficient booster like Super Heavy is necessary to send Starship into a healthy orbit with all the extra hardware and mass needed to make the orbital spaceship reusable. More than twice as heavy and two-thirds as tall as SpaceX’s workhorse Falcon 9 rocket, that will be no small feat.
Following the appearance of Super Heavy booster number 1’s (BN1) unique common dome, extra-large ‘transfer tube’ segments, and a donut-like eight-Raptor thrust section last month, visible booster work settled down for the next several weeks. In the interim, Musk revealed that SpaceX aims to hop the first Super Heavy booster (BN1) just “a few months” into 2021, followed by the bombshell that the CEO wants to eventually catch Super Heavy boosters to avoid the need for landing legs entirely.
Two weeks after that latest info from Musk and a month after major booster-related factory activity, the first hardware intended for Super Heavy prototype BN2 was spotted on January 19th. Featuring a never-before-seen structural addition in the form of what looks like a hexagonal or octagonal steel ring, the booster’s unique forward dome represents the first real evidence of the modifications needed to install a variety of hardware specific to Super Heavy.
The limited nature and number of current views make it hard to conclude with certainty that the BN2 forward dome’s add-on is hexagonal or octagonal – either could technically be made to work. Barring a surprise design change, Super Heavy – like Falcon 9 and Heavy boosters – will sport four equally spaced grid fins and use them to ensure aerodynamic stability and control authority from hypersonic to supersonic velocities. Based on official SpaceX graphics, Super Heavy’s grid fins will be built out of welded steel, measure some 7 meters (23 ft) tall, and likely weigh 5+ metric tons apiece, thus requiring extremely powerful actuation systems and strong structural support.
Meanwhile, beyond Super Heavy BN2’s first visible appearance, the process of assembling the first booster prototype also took a significant step forward. Sometime on January 19th, SpaceX ended a long period of inactivity, stacking the first Super Heavy ring sections since November 2020. More specifically, SpaceX teams appear to have installed either one or two four-ring sections on an existing booster segment already inside the high bay.
If at rest on top of the rest of the stack in Mary’s (BocaChicaGal) latest photo, one of two Super Heavy ‘stacks’ inside the high bay is now 12 rings (three sections) tall, representing almost a third of a complete 70-meter (~230 ft) tall booster. As of the most recent look inside the high bay, there were two separate stacks of Super Heavy rings – one with four and the other with eight. Based on the location of the new 12-ring stack, it’s more likely than not that SpaceX has simply combined the 12 rings last seen inside the high bay rather than adding one or two new ring sections to one of the two separate stacks.
Ultimately, the return of Super Heavy stacking activity after a two-month pause is an encouraging sign that SpaceX has settled on a design for the first few prototype boosters and could, in fact, be ready to start testing BN1 “a few months” from now.
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
