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NASA to retry Artemis I Moon rocket launch on Saturday
NASA says it has alleviated issues that arose during its first Space Launch System (SLS) Moon rocket launch attempt and will try again as early as Saturday, September 3rd.
Measuring around 98 meters (~322 feet) tall and capable of launching up to 95 tons (~210,000 lb) to low Earth orbit, the SLS rocket’s first launch – Artemis I – will attempt to send NASA Orion spacecraft on its way to lunar orbit. If all goes to plan, a partial prototype of the deep space crew transport vehicle will enter orbit spend several weeks around the Moon, where it will attempt to prove that Orion is safe and ready to launch NASA astronauts.
Approximately six years behind schedule and tens of billions of dollars over budget, the combined Orion spacecraft and SLS rocket were originally expected to debut in 2016 when Congress legally required NASA to develop the combined system in 2011. It would be difficult for the stakes to be much higher.
Now, after an unsuccessful August 29th launch attempt that turned into a wet dress rehearsal test as a result of poor planning, NASA is ready to try again.
SLS is scheduled to lift off from NASA’s Kennedy Space Center (KSC) LC-39B pad no earlier than (NET) 2:17 pm EDT (18:17 UTC) on Saturday, September 3rd. Like the first, the window lasts for two hours, providing some flexibility for NASA to troubleshoot any other minor problems that might crop up during the second launch attempt.
During the first SLS launch attempt, several problems arose, including a possible crack in Core Stage foam insulation, a misbehaving vent valve, a hydrogen fuel leak, and weather concerns that delayed the start of propellant loading by more than an hour. The most important problem, causing NASA to abort its first attempt at T-40 minutes to liftoff, involved Core Stage engine chill systems.
At the time, available data suggested that one of the Core Stage’s four modified and flight-proven Space Shuttle Main Engines (known as RS-25) was unable to chill down to the temperatures required for safe ignition. In a September 1st press conference, after more analysis, NASA now says that the rocket was, in fact, correctly trickling liquid hydrogen fuel through all four engines and that all engines were likely ready to go. The agency and its contractors say they are confident that the true cause of the unfavorable readings was a faulty temperature sensor.
In an earlier press conference, senior officials noted that the Boeing-built SLS Core Stage is designed in a way that makes those faulty temperature sensors virtually inaccessible without major work – and certainly not while the rocket is still at the launch pad. A rollback to NASA’s Vehicle Assembly Building (VAB) could easily delay the next SLS launch attempt by 4-6 weeks, if not longer.
Perhaps as a result of the looming consequences of another rollback, instead of sending the rocket back to fix the newly discovered sensor issue, NASA officials now say they never actually needed the broken sensor and can get by without it working properly. That doesn’t entirely explain why NASA fully aborted an SLS launch attempt as a direct result of not liking the data produced by said sensor a few days prior. Nonetheless, the officials say that by analyzing several other unspecified telemetry readings within the RS-25s and SLS plumbing, they can effectively infer that the engines have been chilled to the right temperature.
In theory, if no other issues arise in the remaining 40 minutes leading up to launch, that should allow NASA to confidently launch SLS without having to replace components deep within the rocket.
NASA will begin live coverage of its next SLS launch attempt on NASA TV at 5:45 am EDT (09:45 UTC), followed by a separate hosted broadcast (the agency’s first attempt at a 4K launch webcast) beginning at 12:15 pm EDT (16:15 UTC).
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
