News
SpaceX’s next Falcon Heavy two-thirds done as side booster #2 leaves factory
First posted to a SpaceX-focused Facebook group by member Eric Schmidt, Falcon Heavy Flight 2’s second side booster (of two) was spotted eastbound in Arizona on December 3rd, partway through a journey from SpaceX’s Hawthorne, CA factory to its McGregor, TX testing facilities.
This is the second (known) Falcon Heavy-related booster spotted in less than a month and an incontrovertible sign that the company’s second-ever Falcon Heavy launch is perhaps just a handful of months away, with both side boosters now likely to be present in Florida by January 2019 barring unforeseen developments.
Look who was waving at passing planes over McGregor today!
A Falcon Heavy side booster on the McGregor test stand for a static fire test. pic.twitter.com/S7af6b0gHk
— NSF – NASASpaceflight.com (@NASASpaceflight) November 18, 2018
This second booster appearance follows on the heels of the first Falcon Heavy booster spotting on November 9-10, confirming that – at a minimum – two of the next rocket’s three first stage boosters have finish production and are now focused on completing their separate hot-fire acceptance tests at McGregor. Owing to the ironic fact that the center core – dramatically more complex than its pointy-nosed side core brethren – is far harder to discern while in transport, it’s even possible that the second side core spotting is actually the third new Falcon Heavy booster to depart SpaceX’s factory. The above booster was apparently the second SpaceX first stage to make its way east through Arizona in the week prior to its arrival, so that may well be the case.
SpaceX's second Falcon Heavy is slowly but surely coming together 😀 https://t.co/AYJsQ8Mld5
— Eric Ralph (@13ericralph31) November 13, 2018
While Falcon Heavy side boosters do sport easily recognizable nosecones, they apparently are able to be modified from a Falcon 9 booster to a side booster with no more than a week or two’s work. On the other hand, the rocket’s center booster is dramatically more complex and requires an entirely new custom rocket be built from scratch thanks to the extreme loads it must survive when the two side boosters channel all of their thrust directly into the center core during launch.
However, until the arm-like mechanisms that connect the center stage to its two side boosters are attached, it’s extremely difficult to discern between a normal Falcon 9 booster and a Falcon Heavy center stage. Until a center core is more or less unwrapped and showing off its octaweb or unusual bumps around the interstage, its identity is likely to remain a secret. In the past three months, no fewer than four Falcon boosters arrived at Cape Canaveral, while only one (or maybe two) of them have launched in the time since their arrival.
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- SpaceX’s first Falcon Heavy prepares for launch. (SpaceX)
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- Falcon Heavy ahead of its inaugural launch. (SpaceX)
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- SpaceX’s Falcon Heavy prepares for the huge rocket’s inaugural launch. (SpaceX)
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- Falcon Heavy just prior to its first-ever integrated static fire test. (SpaceX)
Given that both side boosters have traveled from California to McGregor, it’s almost certain that Falcon Heavy will fly for the second time with all-new Block 5 hardware, including all three boosters and the upper stage. Most importantly, a Block 5 version of the non-interchangeable center stage should ultimately be able to launch multiple times with zero or minimal refurbishment and repairs, potentially making Falcon Heavy for more viable from a production and internal cost perspective. For a rocket that may only ever launch twice per year, one or two custom center cores could be all that is needed over the vehicle’s operational lifetime, save for any potential launch contract that requires expendable performance.
Ultimately, this second Falcon Heavy booster spotting in less than four weeks is a thrilling sign that SpaceX is pushing extremely hard to have the rocket’s next iteration integrated and ready to launch as soon as possible, perhaps as early as Q1 2019. As its two side boosters begin to arrive in Florida, we should start to have a better idea of when exactly the massive rocket’s second launch might be.
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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.”
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
