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ULA Delta IV Heavy rocket set for National Reconnaissance Office spysat launch
The massive United Launch Alliance (ULA) Delta IV Heavy rocket last launched from Space Launch Complex 37 (SLC-37) at Cape Canaveral Air Force Station in August of 2018 when it lifted NASA’s Parker Solar Probe to a highly-elliptical, heliocentric orbit on a mission to “touch the Sun.”
Two years later, ULA is ready to light its most impressive candle once again for its next launch campaign, NROL-44. This time around the protective payload fairing of the Delta IV Heavy rocket is packed with a sensitive – and highly classified – payload for the National Reconnaissance Office (NRO). The NRO is an office of national security that oversees a fleet of spy satellites for the United States government. Since becoming operational in 2004, ULA’s Delta IV Heavy rocket has completed eleven operational missions, seven of which were classified missions for the NRO.
A long launch campaign
The NROL-44 launch campaign has been a long one, to say the least. The three Delta IV common core boosters were delivered to ULA’s Horizontal Integration Facility during the summer of 2019. There the boosters were integrated with one another while the forward end of the center booster was mated with the Delta Cryogenic Second Stage (DCSS). The DCSS is outfitted with a single Aerojet Rocketdyne RL10B-2 engine capable of 24,750 lbf of thrust used to propel the secretive payload to orbit once the common core boosters have separated.
In November 2019, the rocket was rolled to the SLC-37 Vertical Integration Facility and raised by ULA’s Fixed Pad Erector into a vertical position to await the integration of its precious payload. In January 2020, ULA completed pre-launch initiatives including standard testing and a complete Wet Dress Rehearsal of Day of Launch activities involving fueling and de-tanking of the liquid hydrogen and liquid oxygen propellants. Since then, the Delta IV Heavy has remained safed and in powered-off status.
Following the recent successful launch of NASA’s Perseverance Mars rover on a neighboring ULA Atlas V just weeks ago, ULA is ready to ignite Delta IV Heavy’s three Aerojet Rocketdyne RS-68A main engines to complete one of the rocket’s remaining final five flights as it nears retirement.
On July 27, the Delta IV Heavy was outfitted with a 5-meter payload fairing safely encapsulating the NROL-44 payload. The massive payload fairing was delivered to SLC-37, raised, and mounted to the top of the center booster and fully integrated DCSS via crane. The mated payload completes the 235 feet (72 meters) tall full stack of the Delta IV Heavy rocket which will weigh in at 1.6 million pounds (725,750 kg) once fueled before lift-off.
Reliability worth the cost
In a company blog post, ULA’s launch operations director and general manager, Tony Taliancich said, “The Heavy serves the nation’s high-priority U.S. Space Force and National Reconnaissance Office space programs with distinction as America’s proven heavy-lifter.” Although reliable, the Delta IV Heavy is very costly to fly costing nearly $300 million a launch. The heavy class launcher is almost exclusively chosen to fly missions for the U.S. government with the exception of a few NASA missions – Parker Solar Probe and the Orion capsule Exploration Flight Test -1. The five remaining flights of its career are all contracted to lift payloads for the NRO through 2023.
ULA is currently targeting 2:16 am EDT (0616 UTC) on Wednesday, August 26 for the launch of the Delta IV Heavy, however, tropical weather approaching the Florida peninsula is being closely monitored. Should there be any, ULA will publish all updates to the mission timeline on the company’s blog.
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
