News
SpaceX's Dragon spacecraft photobombed in orbit by solar eclipse
On December 26th, SpaceX’s second-to-last Cargo Dragon spacecraft was photobombed in orbit by the shadow cast on Earth by a solar eclipse, likely a little over a week before the vehicle is set to reenter the atmosphere and splash down in the Pacific Ocean.
Cargo Dragon lifted off atop a rare new Falcon 9 booster – B1059 – on December 5th, carrying around 2600 kg (5800 lb) of cargo inside on the flight-proven capsules third launch into Earth orbit. After a quick three-day journey from its parking orbit to the International Space Station (ISS), Dragon was successfully captured by the station’s astronauts with a robotic arm and berthed to the orbital outpost, where the crew quickly unloaded its cargo of food, consumables, science, and equipment.
Shortly after liftoff, Falcon 9 B1059 completed its first successful landing – a bit of a surprise ordeal aboard drone ship Of Course I Still Love You (OCISLY) – and the relatively gentle reentry and trajectory should mean that the booster can be turned around almost immediately for its next launch. B1059 is thus a prime candidate for reuse on a future NASA mission and could very well support Cargo Dragon’s next space station resupply mission (CRS-20) as early as March 2020.
For a number of reasons, the spacecraft’s recent success is a touch bittersweet.
Notably, CRS-19 is the second to last orbital mission scheduled for SpaceX’s original Dragon spacecraft, which debuted in orbit in December 2010, becoming the first commercial spacecraft to successfully reenter and be recovered intact. Less than a year and a half later, Cargo Dragon became the world’s first commercial spacecraft to successful rendezvous and berth with the International Space Station (ISS).
The rest, as they say, is history. Five months later, SpaceX launched Cargo Dragon’s first official mission under NASA’s Commercial Resupply Services (CRS) program, known as CRS-1. Aside from a June 2015 launch vehicle failure that prevented Cargo Dragon from reaching orbit on its CRS-7 mission, SpaceX has successfully completed every resupply mission that managed to reach orbit, delivering more than 43 metric tons (95,000 lb) of supplies to the space station and the astronauts aboard it.
There have been several technical challenges over the years but every Cargo Dragon that reached orbit successfully completed its space station resupply mission and was recovered intact from the ocean surface after reentering Earth’s atmosphere. SpaceX has matured and improved almost every aspect of the spacecraft over the nine years it’s been flying, substantially upgrading its PICA-X heat shield, improving navigation sensors, upgrading its reusability, testing Crew Dragon and Starship hardware, and more.
Cargo Dragon has without a doubt been one of SpaceX’s biggest successes, combining with the company’s exceptionally capable and affordable Falcon 9 rocket to enable reliable cargo resupply missions, while also continuing to be the only way that NASA (or anyone alse) can return substantial non-human payloads back to Earth. Thankfully, although the spacecraft’s exceptional track record is set to come to an end after its next launch, the Cargo Dragon lineage will continue to supply the space station in the form of a modified version of Crew Dragon (i.e. Dragon 2).
On December 26th, SpaceX’s CRS-19 Cargo Dragon – attached to the International Space Station (ISS) – was photobombed by the shadow produced on Earth’s surface by an annular solar eclipse. With any luck, the spacecraft’s first upgraded successor will take over and begin orbital resupply launches as early as August 2020, setting SpaceX up for at least another four or so years of Dragon launches.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
