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The strategy behind the state selection of the Tesla Gigafactory
By now, everyone who has any interest at all in Tesla Motors has heard about their plans for a Gigafactory. Since the plan was introduced in February, the discussion groups and forums have been filled with thoughts on the implications of the huge battery making installation. Four potential sites were named: New Mexico, Nevada, Arizona and Texas.
Speculation about how this would change things became rampant. Nicolas Zart asked how it would affect Tesla’s long-standing relationship with Panasonic, who provides the batteries being used in the Model S and that will likely be used in the upcoming Model X. Yet a more persistent question in the peanut gallery has been why Tesla would choose the states it mentioned as candidates for the factory.
To be straightforward, there was a lot of strategic thinking that went behind the choice of the four states mentioned, and there’s a good reason that a couple of those states, deemed as “Tesla-unfriendly,” are on the list.
Logistics
The states chosen are all within a specific logistical area. They’re warm weather states, have little seismic activity, are within easily-accessed and well-established transportation corridors (trains, highways, etc.), have low-cost land available, and have a surplus of most energy types.
This means that transport of materials and finished products to and from each of these locations is relatively easy and requires minimal work to customize. All of them are in sunny locations (a primary requirement for a solar farm as large as Tesla proposes) and they all have access to low-cost energy at surplus should the wind and solar plans take longer to establish or not perform as expected.
Costs and Baskets of Eggs
Each of the four states named also have highly conducive political environments for business. California, love it or hate it, is one of the worst places in the nation to attempt to start a manufacturing business in terms of bureaucracy, costs, and red tape. Choosing California would also mean Tesla would be putting all of their eggs into one basket, as it were, geographically and politically. This would directly affect our next point. We’ll discuss that in a moment.
All four of the states listed have low or no corporate income tax, have relatively low property taxes (even for industrial use), and are about as business-friendly as a state’s government can be without giving away the farm. Nevada and Arizona also have corporate-friendly incorporation laws, should Tesla need to use them.
Leverage
Now for the real meat of it. Tesla has already leveraged California for about everything it can in terms of concessions and breaks. California would likely be willing to do a lot to help Musk get his Gigafactory built, but it’s just as likely that the other candidates would do just as much on top of their already-friendly atmosphere, industry-wise.
Further, two of these states (do we need to name them?) have been less than friendly to Tesla during the dealership vs direct sales battles. Dangle the “create a green factory and employ a lot of your citizens” carrot, though, and suddenly the discussion might begin to change a little.
You don’t have to be Richard Nixon to see that the prospect of one of the world’s largest automotive battery factories being located in your state will have a hundred benefits to every loss you might politically incur for turning your back on your friends at the auto dealer’s association. Especially if you’re a governor with hopes of getting into the White House (ahemRickPerryahem). It’s things like the Gigafactory that can build legacies for those with the savvy to utilize the PR potential.
Strategically Speaking
Putting it together, the strategy behind the Gigafactory’s geographic location is very astute. Musk and Co gain more by naming enemies in their list of potentials than they would going the relatively safe route of staying in their west coast comfort zone.
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Man credits Grok AI with saving his life after ER missed near-ruptured appendix
The AI flagged some of the man’s symptoms and urged him to return to the ER immediately and demand a CT scan.
A 49-year-old man has stated that xAI’s Grok ended up saving his life when the large language model identified a near-ruptured appendix that his first ER visit dismissed as acid reflux.
After being sent home from the ER, the man asked Grok to analyze his symptoms. The AI flagged some of the man’s symptoms and urged him to return immediately and demand a CT scan. The scan confirmed that something far worse than acid reflux was indeed going on.
Grok spotted what a doctor missed
In a post on Reddit, u/Tykjen noted that for 24 hours straight, he had a constant “razor-blade-level” abdominal pain that forced him into a fetal position. He had no fever or visible signs. He went to the ER, where a doctor pressed his soft belly, prescribed acid blockers, and sent him home.
The acid blockers didn’t work, and the man’s pain remained intense. He then decided to open a year-long chat he had with Grok and listed every detail that he was experiencing. The AI responded quickly. “Grok immediately flagged perforated ulcer or atypical appendicitis, told me the exact red-flag pattern I was describing, and basically said “go back right now and ask for a CT,” the man wrote in his post.
He copied Grok’s reasoning, returned to the ER, and insisted on the scan. The CT scan ultimately showed an inflamed appendix on the verge of rupture. Six hours later, the appendix was out. The man said the pain has completely vanished, and he woke up laughing under anesthesia. He was discharged the next day.
How a late-night conversation with Grok got me to demand the CT scan that saved my life from a ruptured appendix (December 2025)
byu/Tykjen ingrok
AI doctors could very well be welcomed
In the replies to his Reddit post, u/Tykjen further explained that he specifically avoided telling doctors that Grok, an AI, suggested he get a CT scan. “I did not tell them on the second visit that Grok recommended the CT scan. I had to lie. I told them my sister who’s a nurse told me to ask for the scan,” the man wrote.
One commenter noted that the use of AI in medicine will likely be welcomed, stating that “If AI could take doctors’ jobs one day, I will be happy. Doctors just don’t care anymore. It’s all a paycheck.” The Redditor replied with, “Sadly yes. That is what it felt like after the first visit. And the following night could have been my last.”
Elon Musk has been very optimistic about the potential of robots like Tesla Optimus in the medical field. Provided that they are able to achieve human-level articulation in their hands, and Tesla is able to bring down their cost through mass manufacturing, the era of AI-powered medical care could very well be closer than expected.
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Tesla expands Model 3 lineup in Europe with most affordable variant yet
The Model 3 Standard still delivers more than 300 miles of range, potentially making it an attractive option for budget-conscious buyers.
Tesla has introduced a lower-priced Model 3 variant in Europe, expanding the lineup just two months after the vehicle’s U.S. debut. The Model 3 Standard still delivers more than 300 miles (480 km) of range, potentially making it an attractive option for budget-conscious buyers.
Tesla’s pricing strategy
The Model 3 Standard arrives as Tesla contends with declining registrations in several countries across Europe, where sales have not fully offset shifting consumer preferences. Many buyers have turned to options such as Volkswagen’s ID.3 and BYD’s Atto 3, both of which have benefited from aggressive pricing.
By removing select premium finishes and features, Tesla positioned the new Model 3 Standard as an “ultra-low cost of ownership” option of its all-electric sedan. Pricing comes in at €37,970 in Germany, NOK 330,056 in Norway, and SEK 449,990 in Sweden, depending on market. This places the Model 3 Standard well below the “premium” Model 3 trim, which starts at €45,970 in Germany.
Deliveries for the Standard model are expected to begin in the first quarter of 2026, giving Tesla an entry-level foothold in a segment that’s increasingly defined by sub-€40,000 offerings.
Tesla’s affordable vehicle push
The low-cost Model 3 follows October’s launch of a similarly positioned Model Y variant, signaling a broader shift in Tesla’s product strategy. While CEO Elon Musk has moved the company toward AI-driven initiatives such as robotaxis and humanoid robots, lower-priced vehicles remain necessary to support the company’s revenue in the near term.
Reports have indicated that Tesla previously abandoned plans for an all-new $25,000 EV, with the company opting to create cheaper versions of existing platforms instead. Analysts have flagged possible cannibalization of higher-margin models, but the move aims to counter an influx of aggressively priced entrants from China and Europe, many of which sell below $30,000. With the new Model 3 Standard, Tesla is reinforcing its volume strategy in Europe’s increasingly competitive EV landscape.
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Tesla FSD (Supervised) stuns Germany’s biggest car magazine
FSD Supervised recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets.
Tesla’s upcoming FSD Supervised system, set for a European debut pending regulatory approval, is showing notably refined behavior in real-world testing, including construction zones, pedestrian detection, and lane changes, as per a recent demonstration ride in Berlin.
While the system still required driver oversight, its smooth braking, steering, and decision-making illustrated how far Tesla’s driver-assistance technology has advanced ahead of a potential 2026 rollout.
FSD’s maturity in dense city driving
During the Berlin test ride with Auto Bild, Germany’s largest automotive publication, a Tesla Model 3 running FSD handled complex traffic with minimal intervention, autonomously managing braking, acceleration, steering, and overtaking up to 140 km/h. It recognized construction zones, braked early for pedestrians, and yielded politely on narrow streets.
Only one manual override was required when the system misread a converted one-way route, an example, Tesla stated, of the continuous learning baked into its vision-based architecture.
Robin Hornig of Auto Bild summed up his experience with FSD Supervised with a glowing review of the system. As per the reporter, FSD Supervised already exceeds humans with its all-around vision. “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention,” the journalist wrote.
Tesla FSD in Europe
FSD Supervised is still a driver-assistance system rather than autonomous driving. Still, Auto Bild noted that Tesla’s 360-degree camera suite, constant monitoring, and high computing power mark a sizable leap from earlier iterations. Already active in the U.S., China, and several other regions, the system is currently navigating Europe’s approval pipeline. Tesla has applied for an exemption in the Netherlands, aiming to launch the feature through a free software update as early as February 2026.
What Tesla demonstrated in Berlin mirrors capabilities already common in China and the U.S., where rival automakers have rolled out hands-free or city-navigation systems. Europe, however, remains behind due to a stricter certification environment, though Tesla is currently hard at work pushing for FSD Supervised’s approval in several countries in the region.
Man credits Grok AI with saving his life after ER missed near-ruptured appendix
Tesla expands Model 3 lineup in Europe with most affordable variant yet
