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ULA rocket set to launch Solar Orbiter as NASA, ESA near golden era of sun science
Just a year and a half after sending NASA’s Parker Solar Probe to study the Sun, United Launch Alliance (ULA) is ready to once again support a science mission on its way to the center of our solar system. The Solar Orbiter, a unique spacecraft jointly developed by NASA and the European Space Agency, will launch aboard a ULA Atlas V 411 booster, propelling it to the Sun to snap the first photos of its north and south poles.
The Solar Orbiter will work in conjunction with NASA’s Parker Solar Probe in unlocking the mysteries of our closest star. Parker Solar Probe occasionally dips into the Sun’s atmosphere – referred to as the corona – learning about the environment and the solar wind that propels energy and radiation into our solar system. The Solar Orbiter will – as the name suggests – orbit the Sun, but will remain further away than Parker (about 26 million miles away) allowing it to produce the first images of the Sun’s northern and southern poles. This advancement could potentially offer more insight into the Sun’s powerful magnetic field.
The ULA Atlas V 411 booster arrived in Florida back in November 2019. Since the completion of the previous Atlas V mission that supported the Boeing Starliner Orbital Flight Test in December 2019, ULA has been continuously prepping for the launch of the Solar Orbiter. In early January 2020, the booster was vertically hoisted into ULA’s Vertical Integration Facility. Following final booster preparations, including rolling it out to the launchpad for pre-launch testing twice, the safely encapsulated Solar Orbiter payload was carefully stacked on top during final integration on January 31st.
According to ULA, the Atlas V 411 configuration was selected to provide the necessary “Earth departure trajectory for making repeated close encounters with the sun.” The configuration used to launch the Solar Orbiter consists of a dual-nozzle main engine and one solid-fuel booster mounted to the side. This allows the rocket to utilize steering capability provided by the main engine while maintaining a center of gravity stabilized by the additional booster. ULA states that while this is a rather unique configuration, it is one that has been successfully utilized to support missions five times since 2006.
Ahead of the February 9th launch attempt, teams rolled the mighty Atlas V 411 out to the launchpad at Space Launch Complex-41 at Cape Canaveral Air Force Station to complete a full Wet Dress Rehearsal (WDR) – a full run-through of launch day operations including fueling the rocket and proceeding through terminal count. The first attempt at WDR resulted in a minor delay of launch due to a “wind-blown ECS cold air duct” that had to be replaced before testing could be completed, according to CEO of ULA, Tory Bruno. The second attempt of the WDR on January 24th was completed without a hitch.
On Friday morning February 7th, Bruno announced that all of pre-flight rehearsals and verifications were completed and the Solar Orbiter was ready to begin its journey to the Sun.
Currently, ULA and NASA are targeting a launch on Sunday, February 9th at 11:03 pm EST (0403 UTC) with a two-hour launch window. The launch weather is at 80% “GO” conditions with cumulus clouds as the primary concern for violation. Should the launch need to 24-hr recycle for a launch attempt on Monday, February 10th, weather conditions deteriorate slightly to 70% “GO.”
A live launch webcast will be provided on NASA TV beginning approximately 30 minutes prior to lift-off at 10:30 pm EST (0330 UTC).
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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
