News
SpaceX and Boeing's crewed capsule race heats up with Starliner's Friday test flight
The first week of December kicked off a flurry of productivity for NASA Commercial Crew Program partners SpaceX and Boeing. Ahead of crewed astronaut flight in 2020, both partners are working toward the completion of integral test flights of the two crew capsules that will carry astronauts to orbit from American soil for the first time since 2011.
While SpaceX nailed down a firm targeted launch date for the upcoming in-flight abort (IFA) test of its Crew Dragon capsule, Boeing and launch provider United Launch Alliance (ULA) worked to complete what is known as an Integrated Day of Launch Test (IDOLT) – a standard procedure ahead of human-rated spaceflight.
This type of rehearsal was routinely completed during the space shuttle era – then referred to as Terminal Countdown Demonstration Tests. The IDOLT was a final major step ahead of the orbital flight test (OFT) of the Atlas V and Boeing Starliner capsule. The upcoming flight test will closely reflect procedures completed by SpaceX with the Falcon 9 and Crew Dragon capsule during its version of the orbital flight test referred to as Demonstration Mission – 1 which previously occurred in March of 2019.
Earlier in the week, ULA rolled out its mighty Atlas V rocket topped off with the Starliner crew capsule from the Vertical Integration Facility to the Space Launch Complex – 41 launchpad at Cape Canaveral Air Force Station. Once at the launchpad, the Crew Access Arm featuring a “white room” at the end that secures to the Starliner capsule to allow astronaut entrance was swung to the capsule for the very first time.
On Wednesday, December 4th, ULA and Boeing teams prepared to support the IDOLT, while SpaceX teams worked nearby at Space Launch Complex – 40 to support the CRS-19 resupply mission to the International Space Station. The simultaneous preparations resulted in the unique opportunity to view both rockets slated to support crewed astronaut flights in 2020 on launchpads and essentially prepared for flight.
While SpaceX ultimately successfully launched and landed a brand new Falcon 9 booster during the CRS-19 mission on Thursday, December 5th, a scrubbed attempt meant a one-day delay of launch which in turn resulted in a one-day delay for Boeing and ULA’s IDOLT and wet dress rehearsal (WDR).
The scrubbed launch essentially tied up range operations of the 45th Space Wing so that the area around the active launch pads – air, sea, and land – could not be secured for both events to take place on the same day. As the CRS-19 launch was an active operation for both SpaceX and NASA, it took precedence over ULA and Boeing’s rehearsal. Instead, Thursday was used to complete other necessary vehicle testing by Boeing and ULA.
Friday’s IDOLT ahead of Starliner’s flight debut for the OFT was a coordinated effort by NASA, Boeing, and ULA teams in multiple locations around the country.
The teams went through actual fueling procedures the Atlas V rocket and Centaur upper stage. Atlas V was filled with a type of rocket-grade kerosene propellant, RP-1, on Wednesday ahead of the IDOLT. The Centaur upper stage fully filled with cryogenic propellants – liquid oxygen (LOx) and liquid hydrogen.
Once fueling had completed Boeing’s “Blue Team” entered the pad to begin their synchronized rehearsal portion of the launch day sequence to prepare and secure the Starliner capsule and astronauts flying aboard.
Once the Blue Team completed all tasks and were evacuated from the pad, flight controllers from NASA’s Johnson Space Center in Houston, TX gave the “GO” command and proceeded with terminal count until reaching T minus-0 at which point the test concluded. The cryogenic propellants were drained and the vehicle was safed to be safely returned to the Vertical Integration Facility where final steps will be taken to prepare for launch.
The next time the teams will all work together in such coordinated fashion this will be on the day of launch. In mid-2020 the teams are expected to work together once again to support the Crewed Flight Test (CFT) which will send NASA astronauts Col. Mike Fincke, Nicole Mann, and Christopher Ferguson.
Until then, however, they will have to settle for the uncrewed test flight. According to ULA president and chief executive officer, Tory Bruno, post-WDR data evaluation and joint flight readiness review conducted by all teams involved are proceeding smoothly. Should all go to plan, the Atlas V and Boeing Starliner OFT will launch at 6:36 am EST on Friday, December 20th.
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
