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SpaceX closes in on Falcon 9 reliability milestone after flawless Monday launch [photos]
SpaceX’s workhorse Falcon 9 rocket has completed its thirteenth launch of 2019, leaving the vehicle just one mission away from a major reliability milestone.
At 7:10 pm ET, December 16th (00:10 UTC, Dec 17), Falcon 9 booster B1056, a new upper stage, and the nearly 7-metric ton (15,500 lb) Kacific-1/JCSAT-18 communications satellite lifted off from SpaceX’s Cape Canaveral LC-40 launch pad. As has more or less become the norm, Falcon 9 sailed through prelaunch preparations, payload integration, and launch with zero notable issues and lifted off at the precise start of a ~90-minute window.
Around nine minutes after launch and 30 seconds after the second stage reached orbit, Falcon 9 B1056 successfully landed aboard drone ship Of Course I Still Love You (OCISLY), completing the booster’s third launch and landing in seven months. 27 minutes after launch, Falcon 9’s second stage reignited and burned for more than 50 seconds, raising one end of its orbit by more than 20,000 km (12,500 mi). Five minutes later, Falcon 9 officially completed its mission by gently releasing Kacific-1/JCSAT-18 from the second stage, where the satellite shortly reoriented itself, deployed ~40-meter (~125 ft) long solar ‘wings’, and began verifying its systems’ health.
Aside from another successful and issue-free launch under the Falcon family’s belt, the Kacific-1 mission is significant for another major reason: it’s Falcon 9’s 49th consecutively-successful launch since January 2017. Falcon 9’s last catastrophic failure occurred on September 1st, 2016 when the rocket’s upper stage violently exploded, destroying the rest of the rocket and its Amos-6 satellite payload.
SpaceX took approximately four months to determine the root cause of that failure and modify hardware and procedures accordingly before returning to flight with the first Iridium NEXT launch on January 14th, 2017. In the three years (35 months) since then, Falcon 9 has successfully launched a total of 49 times in a row without even a partial failure. After one additional launch success, Falcon 9 will have flown 50 consecutively-successful missions, a symbolic but still exceptional sign of the rocket’s excellent reliability. That 50th launch attempt could come as early as December 30th in the form of SpaceX’s third 60-satellite Starlink mission, known as Starlink-2.
Technically speaking, if Falcon Heavy is included, SpaceX has already completed 52 consecutively-successful orbital launches without a single failure (or partial failure), the only company or space agency in the world that can currently claim that feat. Although both Arianespace and ULA are infamous for whitewashing the partial failures of their launch vehicles, Ariane 5 unfortunately suffered a partial failure in January 2018, while ULA’s Atlas V and Delta IV suffered their own partial failures in 2007 and 2004, respectively. Atlas V experienced another in-flight anomaly in 2016, although it was not technically classified as a partial failure.
This means that Ariane 5, Delta IV, and Atlas V – still some of the most reliable launch vehicles ever built – have technically only performed 9, 36, and 70 (or 18) consecutively-successful launches since their most recent partial failure (or in-flight anomaly). In other words, if measured in terms of uninterrupted consecutive launch successes, SpaceX’s Falcon 9 is either the most reliable or the second most reliable launch vehicle currently in operation.
Perhaps even more impressive is the fact that SpaceX has pulled off that feat of reliability in less than three years, unequivocally making Falcon 9 the best all-purpose launch vehicle in the world in terms of its combined reliability and flight frequency – the latter thanks in large part to the rocket’s exceptionally competitive pricing.
As of now, SpaceX has at least two or three-dozen launches nominally planned for 2020 and if all of those launches are successfully completed, Falcon 9 will almost certainly become the world’s most reliable operational launch vehicle by any measure.
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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.”
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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
