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NASA says SLS Moon rocket is ‘go’ for launch debut
After rolling the vehicle to its Kenndy Space Center, Florida launch pad two days early for what is hoped to be the third and final time, NASA says that the first Space Launch System (SLS) Moon rocket is ready to take flight.
The Artemis I mission’s SLS reached Launch Complex 39B on August 17th after a 10-hour, 4-mile trip from KSC’s iconic Vehicle Assembly Building (VAB). NASA and its contractors spent the five subsequent days connecting the rocket to the pad and preparing both for flight – a process that will continue up until the moment the pad is cleared around a day or two prior to launch. On August 22nd, SLS and Orion program leaders completed a surprisingly clean Flight Readiness Review (FRR) for Artemis I, confirming that all related hardware, software, systems, and teams are (or will soon be) ready to launch.
Barring surprises, SLS remains on track to attempt its first launch and send an Orion spacecraft to the Moon no earlier than (NET) 8:33 am EDT (12:33 UTC) on Monday, August 29th.
Jim Free, Associate Administrator of NASA’s Exploration Systems Development division, reported that the SLS Artemis I FRR was completed with no exceptions, no additional actions required, and no dissenting opinions about the rocket’s readiness. Given just how rocky all aspects of SLS development have been, an almost perfectly clean review was not exactly expected, but it bodes well for a launch attempt during the first available window. Some work still needs to be completed, however, including at least one test that could not be completed during past test campaigns.
The rocket and pad’s behavior during two recent wet dress rehearsal (WDR) test campaigns in April and June also suggest that it could take NASA a few tries before SLS actually lifts off. There’s also a nonzero chance that minor to moderate problems could arise before liftoff, potentially requiring NASA to roll the rocket back to the VAB for a third time for repairs or longer-term troubleshooting. Thankfully, NASA officials were unusually candid in a post-FRR press conference and acknowledged many of those realities, noting that the first SLS launch could require multiple attempts.
Free even issued a statement on Twitter that almost directly acknowledged the possibility that Artemis I could end badly. While he avoided actually stating as much, the assistant administrator noted that “things may not go to plan” over the course of the mission. SLS will be the first rocket in history to attempt to send a payload to the Moon on its launch debut. Prior to attempting to enter orbit around the Moon and safely return to Earth, the Orion capsule will have only completed one suborbital test flight, and its propellant and propulsion section (service module) will have never flown.
With any luck, the rocket will make it through preflight operations without a major hitch and launch on the first try on August 29th. If not, NASA has backup opportunities on September 2nd and 5th. If all goes to plan, Artemis I will last approximately 42 days from liftoff to Orion capsule splashdown. The SLS rocket’s job will be complete around three hours after liftoff, leaving Orion to enter orbit around the Moon and eventually return to Earth.
Strangely, NASA is sending Orion to a lunar orbit different than the one the spacecraft will regularly visit with astronauts on operational missions, which are scheduled to begin with Artemis III as early as 2025. The Artemis I spacecraft also lacks a docking port and life support systems, and SLS will launch with an inert launch abort system (LAS), further weakening the test flight’s overall relevance for crewed missions.
No matter the outcome, NASA is poised to gather a massive amount of data about the performance of SLS and Orion over the course of Artemis I. In a best-case scenario, only minor tweaks will be required and Artemis II – a less complex crewed test flight including a free-return trip around the Moon – will remain on track to launch sometime in 2024.
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
