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SpaceX Falcon Heavy rocket celebrates 4th launch debut anniversary
On the fourth anniversary of SpaceX’s Falcon Heavy launch debut and after an unusual multi-year hiatus, the world’s most powerful operational rocket could be on the brink of an impressive salvo of launches.
Four years ago yesterday, on February 6th, 2018, Falcon Heavy lifted off from NASA’s historic Kennedy Space Center (KSC) Pad 39A launch complex, launched a truly esoteric payload into interplanetary space, and officially became the largest, heaviest, and most powerful active launch vehicle in the world. It also became the third most powerful liquid rocket ever launched, placing SpaceX squarely at the table alongside the likes of NASA’s Saturn V Moon rocket and the Soviet Union’s ill-fated N-1 and Energia.
14 months later, an upgraded “Block 5” version of Falcon Heavy aced two more back-to-back launches in April and June 2019, completing its first missions for paying customers and also aiding the US Air Force in its efforts to certify the capable rocket for high-value military launches. However, such an auspicious beginning made the years of inactivity that immediately followed Falcon Heavy’s third launch even more striking.
Since Falcon Heavy’s late-June 2019 launch of the USAF’s Space Test Program 2 (STP-2) mission, the rocket hasn’t launched once. That wasn’t supposed to be the case. As of June 2018, SpaceX was supposed to launch the US Air Force’s AFSPC-52 (now USSF-52) mission in September 2020. In June 2019, Spaceflight Now reported that USSF-44 – not USSF-52 – would be SpaceX’s next Falcon Heavy launch and was expected no earlier than (NET) “late 2020.” By September 2020, USSF-44 was expected to launch in February 2021. By February 2021, the US military stated that USSF-44 was scheduled to launch NET October 2021. By October 2021, the US military had once again delayed USSF-44 to early 2022 and USSF-52 to “Q2 2022.”
While the military has done little more than acknowledge each new date, it has vaguely implied that the spacecraft – not SpaceX – are to blame for the chronic, prolonged delays. Without even a hint of an explanation, it’s unclear if those delays are likely to end anytime soon, potentially delaying USSF-44 and USSF-52 into the second half or last quarter of 2022 and pushing USSF-67 into 2023. Thankfully, unreliable US military payloads aren’t the only Falcon Heavy missions scheduled this year.
At a minimum, SpaceX is contracted to launch the ViaSat’s first of three next-generation ViaSat-3 communications satellite directly to geostationary orbit (GEO). The launch was recently delayed from Q2 to the end of Q3 2022. SpaceX is also scheduled to launch NASA’s Psyche mission – a spacecraft designed to visit and study an asteroid made almost entirely out of metal – NET August 2022. While customer Inmarsat has yet to finalize or announce a contract decision, Falcon Heavy could potentially be tasked with launching the second Inmarsat-6 geostationary communications satellite sometime later this year.
All told, if every customer is able to stem each torrent of delays, Falcon Heavy could feasibly launch five or even six times in 2022. More conservatively, if USSF-67 and ViaSat-3 are delayed to 2023 and Inmarsat-6 F2 goes to Falcon 9, the world’s largest operational rocket could still launch three times in 2022 and still have up to three more launches scheduled next year.
For now, Falcon Heavy’s first launch in at least 33 months and fourth launch overall isn’t expected until March 2022 at the earliest.
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.