News
Boeing’s Starliner slightly delayed, but ready for launch
Boeing and NASA have once again delayed Starliner’s Crewed Flight Test to no earlier than May 1st, 2024.
The launch was originally targeted for mid-April, but this time, scheduling at the International Space Station is the reason for the delay, as the orbiting outpost is fairly busy at the moment.
There are currently 7 vehicles docked at the Space Station, including two Dragon capsules, a Cygnus resupply freighter, and 4 Soyuz capsules (2 Crew, 2 Cargo), so it’s understandable why NASA and Boeing would want to push the Starliner launch just slightly.
Boeing took a major step towards the launch of Starliner’s first crewed flight test when it began fueling the service module and crew capsule. This will enable the capsule to conduct burns to control itself while in orbit.
The capsule assigned to this mission is Spacecraft 3, aka Calypso, which flew the first Orbital Flight Test in 2019 and was unable to make it to the ISS due to numerous issues that arose after separating from the Atlas V second stage.
Starliner takes flight for the first time during OFT-1 in 2019 (Credit: Richard Angle)
For the first Crewed Flight Test, there will be 2 experienced NASA astronauts onboard. Commander Barry Wilmore and Pilot Sunita Williams. They will both be making their 3rd trip to space.
The current pair weren’t the first astronauts assigned to CFT-1, due to the ongoing delays, at various points, 4 other astronauts were assigned to the test flight, including Nicole Mann who ended up switching over to Crew 5 and taking a Crew Dragon capsule to the ISS.
During this most recent delay, Boeing took the time to finish removing the insulating tape that was found to be flammable, finish software reviews, and review a new soft link in the parachute system. The soft link is what connects the main line from the capsule to the risers up to the canopy.
There are currently no items under review that could potentially cause further lengthy delays.
During a recent press conference at NASA’s Johnson Space Center, Flight Director Steve Lammers detailed what to expect before the flight.
The crew will perform a dry dress rehearsal, similar to what SpaceX does with Crew Dragon. However, the test will be completed inside United Launch Alliance’s Vertical Integration Facility, not at the launch pad.
The day before launch, the Atlas V rocket with Starliner stacked on top will be moved to the launch pad. In the last launch attempt, the rocket sat at the launch pad for a few days, enduring Florida thunderstorms, which led to moisture collecting in some of the Service Modules valves, causing a very significant delay to the Starliner program.
Starliner at LC-41 before the first OFT-2 attempt (Credit Richard Angle)
The hatch will be closed 1 hour and 24 minutes prior to launch, with the pad being cleared about with ~50 minutes remaining in the countdown.
This will be the first mission controlled by Houston after lift-off since the last Space Shuttle mission, STS-135.
There will be no live video from the capsule during ascent and transit to the ISS, Ed Van Cise, Starliner rendezvous flight director said the system is lacking the connection from the data to a transmission system. The recorded video will be downlinked after the capsule is docked.
The crew will dock with the ISS 24 hours after lift-off after conducting numerous tests of the Starliner systems.
The capsule will stay docked with the Space Station for a minimum of 8 days.
After undocking, the crew will perform more tests ahead of the de-orbit burn and eventual landing in the Western United States.
The capsule will land under parachutes, and the airbags will deploy just before touchdown to provide a soft landing for the crew.
All in all, this mission has been a long time coming for the company. The original contract called for six flights, and with the Atlas V being retired, there are currently no other human-rated launch vehicles (that are compatible) to launch Starliner, and if NASA wants to extend that contract with Boeing, ULA would need to get the approval to launch Starliner on Vulcan.
Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.
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
