News
SpaceX nails 50th rocket booster landing ahead of Crew Dragon takeover
On its fifth launch of 2020, SpaceX has nailed its 50th Falcon rocket booster landing and sent Cargo Dragon (Dragon 1) en route to the International Space Station (ISS) on its final mission, paving the way for Crew Dragon’s imminent takeover.
At 11:50 pm EST (4:50 UTC), a flight-proven Falcon 9 booster and twice-flown Cargo Dragon spacecraft lifted off from SpaceX’s LC-40 Cape Canaveral Air Force Station (CCAFS) launch pad, sending the Dragon 1 spacecraft on its third and final orbital launch. Things went as planned and the booster nailed its second landing, coming to a rest at Landing Zone-1 (LZ-1), while Falcon 9’s second stage successfully placed Dragon in orbit and deployed the vehicle. Now safely in orbit with both solar arrays deployed, Cargo Dragon will use built-in maneuvering thrusters to tweak its orbit, ultimately rendezvousing with space station no earlier than the morning (EDT) of March 9th.
Hopefully wrapping up a decade of success, the CRS-20 mission will be SpaceX’s last under NASA’s Commercial Resupply Services (CRS) Phase 1 contract, marking Cargo Dragon’s 20th successful space station rendezvous and 19th operational resupply mission. Over those 19 CRS missions, SpaceX – once CRS-20 has safely berthed – will have delivered nearly 45 metric tons (100,000 lb) of cargo to the space station and returned another 31 metric tons (>70,000 lb) to Earth, remaining the only operational spacecraft capable of doing so. While Dragon 1 will cease operations after capsule C112’s planned reentry and splashdown sometime next month, the vast wealth of expertise SpaceX has derived has already been funneled directly into Crew Dragon (Dragon 2), its successor.
Carrying about 2050 kg (4500 lb) of cargo, Cargo Dragon capsule C112 and its expendable trunk section will spend about a month in orbit after berthing with the space station this Monday. The mission may be the last time in history a SpaceX spacecraft berths with the International Space Station, a process that the Dragon 2 spacecraft will soon replace outright once it takes over. Instead of berthing, which refers to the process of astronauts manually ‘grappling’ a visiting vehicle with the space station’s massive robotic arm, SpaceX’s next-generation spacecraft relies on docking, meaning that it does all the work itself.
Docking is thus somewhat riskier and more technically challenging, but it also requires far less input from the station’s crew and can be done almost entirely autonomously, further simplifying the rendezvous process. Once it gets to that point, SpaceX’s massive Starship spacecraft will likely rely on the same docking technology if or when it comes time for it to mate with the ISS – the vehicle is simply too big for anything else.
A slightly tweaked version of Crew Dragon, SpaceX’s future Cargo Dragon 2 spacecraft will replace its human passengers with the same supplies Cargo Dragon currently ferries to and from the ISS. According to Vice President of Build and Build Reliability Hans Koenigsmann, SpaceX has already begun building its first Cargo Dragon 2 spacecraft back at its Hawthorne, California headquarters. That vehicle’s launch debut is scheduled no earlier than (NET) “fall” 2020 and will support CRS-21, SpaceX’s first NASA resupply mission under its CRS Phase 2 contract.
Cargo Dragon 2’s “launch debut” should thankfully be quite the non-event. Crew Dragon – nearly identical – will have hopefully flown at least two (and perhaps three) orbital missions to the space station by then, dramatically reducing risk. The spacecraft will also use Falcon 9, currently classed as one of the world’s most reliable launch vehicles. CRS-20 marked the rocket’s 54th consecutively successful launch, as well as SpaceX’s 50th successful booster landing since December 2015.
For now, though, Cargo Dragon C112 still needs to make its way uphill to rendezvous with the ISS for the final time. Stay tuned for updates on the spacecraft’s last orbital mission.
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
