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Tesla’s Elon Musk tests the waters for a potential Gigafactory in Texas

Tesla Cybertruck and Tesla Semi with Elon Musk for Jay Leno's Garage (Source: teslacybertruck | Instagram)

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Elon Musk is pondering on building a Gigafactory in Texas and the CEO wants to find out what the electric car community on Twitter thinks of the possible next big move for the electric carmaker. Musk started a poll late Tuesday night and gave the Twitterverse two options: “Hell yeah” and “Nope.” As of writing, the poll has garnered almost 231,000 votes with around 80% of respondents being in favor of building the new Gigafactory in the Lone Star state.

Giga Texas would be Tesla’s fifth Gigafactory, and while many believe the nomenclature is perfect for the state where everything is bigger, many are wondering why Musk would consider building a factory in a state where the direct sale of its vehicles is not allowed. A bill was even pushed once to prohibit the electric car manufacturer from servicing its vehicles in the state.

Tesla has Giga Nevada and Giga New York in the United States. The former is focused on producing batteries for the car manufacturer while the latter produces the Solarglass Roof Tiles and Powerwall. There’s also Giga Shanghai in China that already produces the Model 3 for the biggest automotive market in the world. The Silicon Valley-based carmaker is also hoping to lay the first brick by mid-March of its planned EV factory in Europe, Giga Berlin.

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During the Q4 2019 earnings call, Musk explained that Tesla needs to make sure it has the batteries to make cars that are already on its lineup. “We got to scale battery production to crazy levels that people cannot even fathom today. That’s the real problem,” the chief executive of Tesla said.

Giga Texas might be the solution to this problem. It can also be the perfect place to ramp the production of the Cybertruck, whose Tri-Motor version is set to hit production by 2021. With Giga Texas, the Fremont factory will not have to handle additional pressure as it already produces the Model S, Model X, Model 3, and the much-awaited Model Y crossover. Ultimately, penetrating Texas is setting foot in the heart of the country’s biggest oil producers and refineries, and that’s quite a statement for Tesla.

It should be noted that Texas has a lively tech scene, particularly in Austin. Tech talents from Silicon Valley have been flocking to this region. The blossoming tech scene in the metro is blossoming enough that people call Austin as “Silicon Hills.”

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Earlier this week, Elon Musk announced via Twitter that he will be hosting an AI hackathon party at his house. This time-boxed event is most likely to further accelerate the development of Tesla’s Full Self-Driving capabilities and improvements to its Autopilot feature. It is also a perfect setup to fish for new talents that will join Tesla’s workforce. Interestingly enough, Musk mentioned in his hackathon announcement that the electric car maker was looking for chip designers who can join the team in Palo Alto and Austin.

Even without waiting for the Giga Texas poll to end, the Twitterverse and Elon Musk’s 31 million followers may have already an obvious decision. For sure, everyone is eager to hear additional details about the new Gigafactory Musk is planning to build, as well as the role Giga Texas will play Tesla’s efforts to transition the transportation towards sustainability.

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.

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Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

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Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

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Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

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Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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