News
Tesla’s Elon Musk shuts the door on Gigafactory Texas talk, but for how long?
George Strait once said that all of his exes live in Texas, and maybe Elon Musk doesn’t want his new electric vehicle facility to be infiltrated by the country music legend’s past lovers.
Just kidding.
While we all patiently wait for Tesla’s CEO to announce the location of its next vehicle production plant, I was pretty sure that Texas had been confirmed as the spot. After seeing some reports, I dug a little deeper and found that the State of Texas had some records, including purchase price agreements, on a plot of land just outside of Austin.
However, when I reported the news, Elon responded and told us at Teslarati that the company had the option to buy the land, but they had not secured a purchase agreement and exercised its right to purchase the property.
I have to admit, I was pretty shocked. I have been following the situation closely for months, and it is pretty evident that Texas certainly has the most advantages. Not to mention, Elon definitely seems to be leaning toward it. He’s been talking about Texas since January, and we’ve already talked about the distinct advantages the state holds over any other location.
However, Musk wasn’t done there. He then added that Tesla was looking at several locations. I’m assuming Tulsa, Oklahoma, is also in the mix considering that has been a location that is very open to taking its oil roots and trading them in for a new electrified infrastructure that will create a string of sustainable transportation production lines in the state.
However, it is really evident that Tesla might be having some second thoughts on the Lone Star State…or are they?
First, let’s consider the details of the land plot in question in Texas. It’s 2,100 acres, its $5.2 million bucks, and its really perfect for what Tesla has wanted. We know that the new factory is set to be the biggest one yet because both Zachary Kirkhorn and Elon said they are going to start calling the factories “Tera” instead of “Giga.”
To put the size of the land into perspective, Fremont sits on 370 acres, Giga Shanghai on 210 acres, and Giga Berlin on 740 acres. This means the prospective Texas land plot is nearly three times as big as Giga Berlin, which is the factory that will produce Tesla cars for all of Europe, and it is all going to be used to create the Cybertruck and the Model Y.
We know the demand for the Cybertruck is enormous. The pre-order number is not officially public knowledge. Still, there is some indication that Tesla is getting near three-quarters of a million reservations for the truck and its tough, robust exterior.
This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
A big thanks to our long-time supporters and new subscribers! Thank you.
We know that Tesla wants to build the plant in the middle of the country. That could mean anything, from North Dakota to Texas literally, and it could go slightly West to Colorado, and slightly East to Missouri. That’s what is confusing.
Now that there are apparently “several locations” in the mix, the real question is: Why is the Texas deal taking so long? Is Tesla looking to negotiate an even lower price? I decided to dig a little more.
According to Texas A&M University’s “Texas Rural Land Prices” page, where the college has the price of land from Q4 1971 up until Q1 2020, the most recent cost of an acre of property in the state is $2,986. The prospective plot of land where Tesla could build its next factory is 2,100 acres. So the value of the property, according to these statistics, is $6,270,600. According to the application that Tesla and the State of Texas have, the land price that was agreed upon is $5,298,275, giving the company a nearly $1 million discount. It is about a 16% discount according to my handy, dandy calculator.
Texas has also announced its intentions to give the automaker a sweet incentive package to the tune of $68 million, according to reports. That’s a lot of scratch, and it could certainly help with the purchase price, the labor costs of constructing the building, and more.
It is just tough to say why the deal is taking a while. The Cybertruck’s Dual and Tri-Motor variants are going to be produced at the tail-end of 2021, and with Tesla’s track record with the Model Y in the US and the Model 3 in China, they’ll be built well before then. That would give Tesla, if the company started construction in July, 18 months to complete the Cybertruck portion of the factory. Fremont could handle Model Y production until the new factory’s Phase 2 is completed.
I am personally excited to see where the factory ends up, and I really, genuinely think that Texas is where the factory will end up.
Where do you think the factory will be when its all said and done? And why do you think Tesla is kind of dragging its feet through the purchase process?
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
