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SpaceX Crew Dragon switches ports to make room for Boeing’s Starliner do-over
Update: For the second time, a SpaceX Crew Dragon spacecraft has successfully swapped International Space Station (ISS) docking ports in orbit – this time to make way for Boeing’s planned Starliner Orbital Test Flight do-over.
If Starliner’s second orbital flight test is more successful than the first, which failed almost immediately after launch, the Boeing spacecraft will launch no earlier than July 30th, rendezvous and dock with the ISS, and spend approximately five days at the station before attempting to return to Earth. Once Starliner departs, freeing up the forward docking port, SpaceX and NASA will likely have to perform a second Crew-2 port relocation, moving Dragon back to its original port to set the stage for the CRS-23 Cargo Dragon resupply mission scheduled in late August.
SpaceX and NASA are on track for the Crew-2 Dragon spacecraft currently docked to the International Space Station (ISS) to perform a “port relocation” maneuver early Wednesday, effectively opening the door for Boeing’s Starliner flight test do-over.
Scheduled to launch on a United Launch Alliance (ULA) Atlas V rocket no earlier than (NET) July 30th, Boeing’s Starliner will be flying for the first time since the spacecraft’s near-catastrophic Orbital Flight Test (OFT) debut in December 2019. During Starliner’s inaugural test flight, a combination of inept Boeing software development, shoddy quality control, and inexplicably lax NASA oversight allowed the spacecraft to launch with inoperable software.
As a result, things went wrong mere seconds after Atlas V – which performed nominally – deployed Starliner. Almost as simple as using the wrong clock, the first software fault – something that would have been instantly caught with even the most rudimentary integrated systems test – caused Starliner to think it was in a different part of the OFT mission and waste much of its fuel with thousands of unnecessary thruster firings.
Aside from pushing Starliner’s maneuvering thrusters beyond their design limits, those unplanned and unexpected misfirings also threw the spacecraft off course, obfuscating Boeing and NASA’s ability to communicate and command the spacecraft and troubleshoot the situation at hand. Eventually, the company regained control of Starliner, but not before it had burned through most of its propellant reserves – precluding plans for to rendezvous and dock with the ISS.
Less than three hours before reentry, Boeing also uncovered a separate thruster-related software issue that could have caused the Starliner capsule to lose stability and re-impact its expendable trunk section after separation.
Ultimately, with so many issues and a failure to gather any kind of data related to operations at and around the ISS, NASA thankfully forced Boeing to plan to repeat OFT with Orbital Flight Test 2 (OFT-2). Scheduled to launch in December 2020 as of the second half of that year, OFT-2 ultimately slipped – both for scheduling and technical reasons – to March, June, and finally July 30th, 2021.
More than 19 months after Starliner’s ill-fated debut, NASA and Boeing are now almost ready for the spacecraft’s critical do-over. For unknown reasons, though, NASA and/or Boeing apparently need (or prefer) Starliner to use a specific docking port – the same port SpaceX’s second operational Crew Dragon spacecraft is currently docked to. According to NASA and Boeing, Starliner needs to use that forward docking port because it has not been qualified for zenith docking, which is a bit more complex. As a result, SpaceX and NASA have scheduled a port relocation maneuver around 7am EDT (UTC-4) on Wednesday, July 21st.
SpaceX’s first relocation occurred in early April to prepare for the arrival of a second Crew Dragon later that month. When Crew-1 Dragon departed a few weeks after the maneuver, it would leave the station’s zenith (space-facing) port free for a Cargo Dragon 2 spacecraft scheduled to arrive around one month later. Due to the station’s geometry and port layout, only the zenith port allows its robotic Canadarm2 arm to unload unpressurized cargo from Dragon’s trunk.
Already at the forward port, the Crew-2 Dragon will thus be moving to the zenith port for Starliner’s brief 1-2 week stay at the ISS. However, as may have become clear, Crew Dragon will then have to re-relocate to the forward port for any future Cargo Dragon missions – one of which happens to be scheduled to launch with an important unpressurized payload as early as August 29th.
Regardless of why, it’s hard to ever complain about seeing Dragons fly. Tune in around 6:30 am EDT (10:30 UTC) to watch Crew Dragon C206 maneuver around an orbital space station.
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
