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SpaceX nails reused booster launch, Falcon Heavy’s maiden flight days away
Despite a brief 24-hour delay due to weather and minor mechanical issues, SpaceX recycled the launch opportunity and completed the mission on Wednesday afternoon, January 31. Tasked with carrying GovSat-1 to orbit, the reused Falcon 9 rocket (Booster 1032) performed flawlessly and as expected, although the stage was expended. Launch directors confirmed just before the end of the live webcast that the communications satellite, a public-private partnership between SES and Luxembourg, was placed into a good orbit a few minutes before it separated from Falcon 9’s second stage. The mission marks SpaceX’s second successful launch of 2018, its first reused flight of the year, and the last launch before Falcon Heavy’s inaugural flight – currently scheduled for Tuesday, February 6.
Perhaps most intriguingly (or at least uniquely), the to-be-expended booster was still seen outfitted with both grid fins and landing legs at the launch pad, the new legs a stark white against the dark and sooty backdrop of the Falcon 9’s recycled booster. While SpaceX’s webcast host very explicitly stated at least three times that the first stage was not going to be recovered, careful listeners may have still caught snippets of the launch and recovery directors announcing different milestones as Falcon 9 S1 landed softly in the Atlantic Ocean. Similar to the recovery operations after the launch of Iridium-4 in December 2018, S1 flew as if it were landing aboard a drone ship, although in the case of this launch that theatricality extended even to landing legs.
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- Falcon 9 venting before liftoff. (Tom Cross)
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- We have liftoff! (Tom Cross)
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- (Tom Cross)
While it may seem quite odd that SpaceX would choose to expend an entire, recoverable rocket, it is presumed that SpaceX is simply choosing to rid itself of a stock of older boosters incapable of flying more than once or twice – preparing for the introduction of the highly reusable Block 5 of Falcon 9, in other words. As stated by the webcast host, a SpaceX engineer, the company’s goal is for boosters to last “tens of launches in the short term, and hundreds or thousands of launches in the long term.” It is worth remembering that expending rocket boosters in the ocean (or even over land for Russia and China) is the status quo of all non-SpaceX rockets, and SpaceX has only just begun to perfect booster recovery and reuse – the first successful ocean recovery was completed less than two years ago. The very fact that it already feels odd or even wrong to “throw away” hardware into the ocean after launch is a testament to just how rapidly SpaceX have changed both the figurative and literal paradigms of orbital rocketry, and it is only a matter of time before the eminently persistent company ends the practice of expendable launches internally, if not globally.
Up next, Falcon Heavy
After yet another successful mission for SpaceX, the company’s Florida efforts will now briefly focus on the imminent inaugural launch of Falcon Heavy, the company’s newest and largest rocket. Loosely penciled in for liftoff on Tuesday, February 6, the massive vehicle will become the most powerful and capable operational rocket in the world, comparable only to the likes of NASA’s Saturn V and Space Shuttle, as well as the Soviet Union’s short-lived Energia. Regardless of its place against a historical backdrop of massive state-funded rockets, Falcon Heavy will by default become the most powerful commercial launch vehicle ever developed, and that title will almost certainly remain uncontested until 2020 at the absolute earliest. If or when the first and smallest version of NASA’s SLS rocket launches, likely also no earlier than 2020, the space agency may well take the crown back for a brief year or so. Regardless, SpaceX will likely be regularly launching Falcon Heavies and nearing the tail end of the development and testing of its much larger BFR rocket and spaceship.
Falcon Heavy will be the clearest progress yet towards such a massive rocket, and will provide SpaceX with invaluable experience and expertise as the only private company to ever operate a super heavy-lift launch vehicle (SHLLV). After a solid four weeks of near-constant testing, bug-fixing, and retesting, Falcon Heavy just days ago completed its first static fire, marking the first point in its history that all 27 of its first stage engines were simultaneously ignited. The data produced by that crucial test was apparently satisfactory, and Elon Musk just yesterday reiterated that the vehicle’s first launch was still targeting February 6.
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- Paper rocket, meet the real deal. (SpaceX)
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- Falcon Heavy and Falcon 9 in the distance, a tour de force of SpaceX’s breadth of accomplishment. (SpaceX)
Follow along live as launch photographer Tom Cross and your intrepid author cover these groundbreaking events live.
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Tom Cross – Instagram
Eric Ralph – Twitter
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
