Update: SpaceX says it and NASA are moving forward with plans to launch a Crew Dragon carrying US, Japanese, and Russian astronauts as early as noon EDT (16:00 UTC) on Wednesday, October 5th.
Concurring with a statement made on October 3rd, SpaceX has also called off a planned October 4th launch of its Starlink 4-29 mission. However, the company has delayed Starlink 4-29 just 24 hours and says that Falcon 9 will launch the latest batch of internet satellites out of California no earlier than (NET) 4:10 pm PDT (23:10 UTC) on October 5th. Intelsat has also confirmed that its Galaxy 33 and Galaxy 34 geostationary communications satellites are scheduled to launch on a Falcon 9 rocket as early as 7:07 pm EDT (23:07 UTC) on October 6th, leaving SpaceX on track to launch three Falcon 9 rockets from three launch pads in 31 hours.
The company achieved a similar feat earlier this year when it launched three Falcon 9 rockets in 36 hours. Three launches in 31 hours would break that record.
SpaceX is on the cusp of launching three Falcon 9 rockets in a handful of days. Minor issues with two of the three missions, however, have complicated the already hard process of coordinating so many launches at the same time.
For many reasons, rocket launches are an inherently difficult thing to schedule, and that difficulty only gets magnified when attempting to launch rockets as quickly as possible for customers with very different needs while using a fixed number of launch pads. SpaceX’s upcoming series of launches demonstrates the slippery nature of high-cadence rocket launch scheduling better than most.
Last month, SpaceX ran into issues (mainly bad weather) that delayed its Starlink 4-34, 4-35, and 4-36 missions by varying degrees. Before those delays, SpaceX had intended to break its LC-40 pad turnaround record with Starlink 4-35 and then repeat the feat with Starlink 4-36, but that opportunity closed when Starlink 4-34’s several weather delays pushed Starlink 4-35 from September 19th to the 24th and raised the risk of the next launch, Starlink 4-36, interfering with customer missions planned in the first half of October.
That burst of customer missions, all of which take priority over SpaceX’s own Starlink missions, meant that a few-day delay for a mission two launches prior ultimately pushed Starlink 4-36 from the end of September to no earlier than October 20th. It will launch out of Cape Canaveral Space Force Station’s (CCSFS) LC-40, the same pad that launched Starlink 4-35 on September 24th and will launch Intelsat’s Galaxy 33 and 34 satellites no earlier than (NET) October 6th and Eutelsat’s Hotbird 13F satellite NET October 13th. All four launches (including Starlink 4-36) are thus contingent upon each other, so a delay with one mission would likely delay each subsequent mission to leave enough time for pad turnaround and rocket processing.
Date Mission Rocket Location Pad 10/04/22 Starlink 4-29 Falcon 9 California VSFB SLC-4E 10/04/22 SES-20/21 Atlas V Florida CCSFS LC-41 10/05/22 Crew-5 Falcon 9 Florida KSC LC-39A 10/06/22 Galaxy 33/34 Falcon 9 Florida CCSFS LC-40 10/13/22 Hotbird 13F Falcon 9 Florida CCSFS LC-40 10/20/22 Starlink 4-36 Falcon 9 Florida CCSFS LC-40
SpaceX isn’t the only company that launches out of Cape Canaveral, Florida. Originally scheduled in late September, the United Launch Alliance’s (ULA) Atlas V launch of the SES-20 and SES-21 geostationary communication satellites was delayed by the same weather system that indirectly hampered Starlink 4-35 and 4-36. That mission is now set to launch NET 5:36 pm EDT (21:36 UTC) on October 4th.
Up first, however, is SpaceX’s Starlink 4-29 mission out of California’s Vandenberg Space Force Base (VSFB). Delayed to October 4th hours before its October 3rd target, the new schedule will give SpaceX “more time for pre-launch checkouts,” Falcon 9 will now lift off as early as 4:48 pm PDT (23:48 UTC), a little over two hours after Atlas V. However, making the whole situation even more interlinked, SpaceX says it will stand down from its October 4th Starlink launch attempt if its next Florida mission – Crew Dragon’s fifth operational NASA astronaut launch – remains on track for its current noon EDT (16:00 UTC), October 5th launch target.
In an October 3rd briefing following a mostly clean launch readiness review (LRR), NASA and SpaceX officials revealed that three new minor issues – “not showstoppers” – had appeared after a busy period of ground testing. An otherwise successful astronaut dry dress rehearsal and a subsequent wet dress rehearsal and static fire uncovered a possible fire extinguisher leak in the Dragon spacecraft and a minor issue with one of the Falcon 9 rocket booster’s nine Merlin 1D engines. A communications issue was also discovered on the SpaceX drone ship Crew-5’s rocket booster is meant to land on in the Atlantic Ocean.
SpaceX and NASA officials weren’t especially worried about the issues and were confident they would be resolved in time for an October 5th launch. If they aren’t and Crew-5 slips to October 6th, SpaceX should be able to launch Starlink 4-29 on October 4th, but then it’s unclear if the company will also be able to launch Intelsat’s Galaxy 33 and Galaxy 34 geostationary communications satellites on the same day as Crew-5. Galaxy 33/34 is scheduled to launch NET 7:07 pm EDT on October 6th, likely ~6 hours after Crew-5’s own October 6th launch window.
If Crew-5 slips and Galaxy 33/34 can’t launch on the same day, it would likely delay both Hotbird 13F and Starlink 4-36. It’s also unclear if Starlink 4-29 can launch on the same day as Crew-5 if it flies after Dragon. Either way, SpaceX could potentially end up launching Crew-5, Galaxy 33/34, and Starlink 4-29 on October 5th and 6th – potentially less than a day and a half apart.
As SpaceX continues to push the limits of what is possible with its existing Falcon launch and landing infrastructure, chaotic scheduling situations like this, where small issues impact large strings of launches, will become the norm instead of the exception
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
