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SpaceX schedules first Falcon Heavy launch in two years in early October
For the first time in more than two years, SpaceX has a firm launch date for its next Falcon Heavy mission: October 9th, 2021.
Revealed on September 7th as part of a US Space Systems Command presentation at the 2021 Small Payload Ride Share Symposium, October 9th now appears to be the military’s official target date for SpaceX’s fourth Falcon Heavy launch ever. Currently the most powerful and capable commercial rocket in operation and likely to remain so – perhaps alongside Starship – for years to come, Falcon Heavy debuted in February 2018, successfully delivering a mock payload into interplanetary space.
After another 14 months of work, SpaceX then debuted Falcon Heavy Block 5 – an upgraded version of the rocket that took advantage of all of Block 5’s reusability, reliability, and performance improvements. Just two months after Falcon Heavy Block 5’s inaugural April 2019 launch, SpaceX launched the rocket for the third time, supporting a US Air Force rideshare mission, reusing both of Flight 2’s side boosters, and giving the US military a firsthand demonstration of the rocket’s capabilities. However, Falcon Heavy has not flown once since then.
For mostly unknown reasons, Falcon Heavy’s fourth launch – a US military mission known as USSF-44 (formerly AFSPC-44) – has gradually slipped from a late-2020 target to Q1, Q2, Q3, and finally Q4 (October) 2021. SpaceX only began qualifying USSF-44’s Falcon Heavy boosters at its McGregor, Texas test facilities in late September 2020, a few weeks after delays from late-2020 to February 2021 and June 2021 were quietly announced. At that point, the US was deep into the throes of the COVID-19 pandemic’s local peak.
Only in May 2021 did the US military finally directly address major USSF-44 and USSF-52 delays, blaming them on “payload readiness.” Given that the Space Force never blamed SpaceX or rocket availability for what is likely to be a full year of launch delays, the implication is that likely satellite manufacturers Northrop Grumman, Lockheed Martin, Maxar, or Boeing have run into major technical issues. It’s also possible that those payload-side delays have been caused by a combination of supply chain issues and constraints brought on by the ongoing global pandemic.
Meanwhile, USSF-44’s all-new Falcon Heavy rocket appears to have been at Cape Canaveral and more or less ready for flight since Q2 2021 and SpaceX has been hard at work qualifying at least two more Falcon Heavy center cores for at least two additional missions scheduled in H1 2022.
Scheduled to launch no earlier than (NET) October 9th, Falcon Heavy #4 will likely roll out to Kennedy Space Center Pad 39A around 5-7 days prior for a crucial static fire test and pad shakedown. SpaceX is currently scheduled to launch Crew Dragon’s all-private Inspiration4 mission as early as September 14th, giving the company around three weeks to modify Pad 39A and its transporter/erector, gather all four USSF-44 Falcon Heavy stages, and assemble the rocket. Another Crew Dragon mission is then scheduled to launch as early as October 31st, again leaving SpaceX less than three weeks to reconfigure Pad 39A.
Successfully completing that back-to-back-to-back Dragon-FH-Dragon manifest on schedule will be a significant challenge and delays are probably more likely than not. Nevertheless, Falcon Heavy will likely roll out to the launch pad for the first time in more than two years less than a month from today.
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
