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SpaceX’s deploys 60-satellite Starlink blob, all spacecraft successfully phone home
SpaceX’s first 60 “production-design” Starlink satellites have been successfully placed in orbit, kicking off a constellation beta test at an unprecedented scale. According to CEO Elon Musk, all spacecraft also managed to successfully ‘phone home’ after separation.
The company’s Redmond satellite operators still need to verify that all spacecraft are functional and healthy after a Falcon 9 launch and chaotic deployment from the rocket’s upper stage, but the riskiest part of the mission is now arguably behind SpaceX. What remains is essentially a massive, hardware-rich test of SpaceX’s Starlink satellite constellation, ranging from granular flight testing of individual components to an effective simulation of a full constellation’s operations.
In support of those tests, SpaceX has already received permission from the FCC to begin setting up a number of ground stations and user terminals across the US. Testing will begin on a relatively small scale but will rapidly expand as FCC permissions roll in and the basics of the first 60 Starlink satellites’ operational capabilities are verified.
According to sources familiar with the matter who spoke under the condition of anonymity, SpaceX will most likely begin commercial testing of its Starlink constellation much like Tesla, using its significant workforce (~6000 people) as beta testers. The sources didn’t know how many launches it would take before that internal testing kicks off, but it’s safe to say that SpaceX will need at least a few hundred satellites in orbit to provide uninterrupted broadband service over a few swaths of the US.
A wild satellite ride
A little over one hour after launch, SpaceX deployed all 60 Starlink satellites simultaneously, producing a bizarre blob of spacecraft that appeared to slowly begin to separate, almost like a zipper unzipping. CEO Elon Musk noted on May 15th that there was “a chance” that satellites would bump into each other during deployment. After watching the actual act, it’s safe to say that many of the 60 satellites almost certainly bumped into each other after separating from Falcon 9, albeit very slowly.
Starlink’s deployment mechanism is easily the most SpaceX-reminiscent thing SpaceX has ever done. It certainly isn’t pretty and your author would love nothing more than to immediately head to orbit to evenly distribute the satellites (oh, the asymmetry ?). And yet, it seems likely that the chaotic blob deployment will ultimately be a success, getting rid of the wasted mass of a dispenser, speeding up deployment, and offloading the need for accuracy from Falcon 9 S2 to the satellites themselves.
By designing the satellites from the ground up to handle minor bumps and more significant mechanical loads during launch and deployment, SpaceX can forgo the hassle of treating each spacecraft as if they’re made out of fine china, fairly routine for most modern satellites.
By using krypton instead of xenon, SpaceX can cut the cost of fueling its electric Starlink thrusters by a factor of 5-10, potentially saving ~$50,000 or more per satellite. By building four large phased-array antennas directly into the body of each satellite, the potential failure of antenna actuators and precision pointing mechanisms can be entirely removed as a possibility. In general, SpaceX has taken almost every single industry-standard process and flipped them entirely on their heads, systematically ignoring many unwritten rules (or written, for that matter) and forging their own unique style of satellite development.
By forgoing a great many proven methods and rules of satellite design and production, failure is certainly a possibility. However, the potential benefits of success are vast. Only time will tell which direction SpaceX’s radical Starlink satellite design ends up going.
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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
