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Elon Musk was just live on Twitter Spaces talking Tesla: 5 key takeaways

Credit: Tesla

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Elon Musk recently joined a Twitter Spaces talk covering Tesla on Thursday and spoke on several topics such as the lithium refining factory in Corpus Christi, Texas, the recession, his goal of not selling any more Tesla stock for another 18-24 months, and more. The Spaces were hosted by @StockMKTNewz, @WholeMarsBlog, and @StockTalkWeekly.

Although you can go back and listen to the recording, Elon Musk gave a lot of detailed information and reassured Tesla shareholders that he wasn’t; he is still at Tesla. Here are five key takeaways from the live Twitter Spaces.

1. Elon Musk isn’t MIA at Tesla.

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Several shareholders have been worried that Elon Musk’s focus on Twitter has been taking him away from Tesla. Elon Musk told Ross Gerber that he hasn’t missed a single important Tesla meeting.

“I was back in Austin just last week. There is literally not a single important Tesla meeting I have missed this entire time. I’m not MIA.”

He also told Gerber that he doesn’t have plants to sell any more Tesla stock until around 2025.

“I’m not selling any stock for another 18-24 months. Not until around 2025. I needed to sell. I’m not selling any stock until probably two years from now… I’m somewhat paranoid after going through two recessions.”

2. Tesla will weather any economic storms. 

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Regarding any upcoming economic issues, Elon Musk said he believed Tesla would weather it better than any company.

“I think Tesla will weather an upcoming economic storm better than any company. Unless the company is making bread.”

“If you are a ship in the storm, even if you have a great ship, you are still going to be hit. There is latency in the supply chain.”

3. Tesla’s lithium refinery. 

In November, Tesla began negotiating for a battery-grade lithium refinery in Texas and discussed details of its planned $365 million plant with Nueces County commissioners. Elon Musk spoke briefly of the refinery during the Twitter Spaces.

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“Tesla is building a lithium refinery in Texas to relieve the lithium refining choke point.”

“Seven years to build a refinery is insane. We are aiming to have meaningful volume out the factory in 2 years.”

“We are also cathode refining at Giga Texas for nickel-based cathodes.”

4. Next Gigafactory, recession & demand

Elon Musk added that the total automotive demand, especially the demand in China, will cause a reduction in the cost of battery materials. He added that Tesla is deploying capital at the fasted rate possible without being wasteful and then shared a bit of Gigafactory news.

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“Deploying capital at the fastest rate we can without being wasteful. We are making investments, and can’t say too much, but we are close to picking a location for the next Gigafactory. We are being careful and deliberate about that. We are coming into recession in a strong position.”

5. Tesla Electric in Texas & Master Plan Part 3

Tesla recently launched Tesla Electric in Texas, which allows Powerwall owners to participate in virtual power plants (VPPs). This was a major milestone for both Tesla and Texas. Elon Musk said:

“The overarching purpose is to accelerate the advent of sustainable energy. Energy generation, storage of that energy, and electric transport. We are working on all three. The demand for large batteries is quasi-infinite. So long a Tesla battery pack is cheaper than a peaker plant, there will be insatiable demand.”

“1000+ GWh battery packs a year, if not 2000, is the goal. Master plan part 3 is really about scale. One should think of things in terms of tonnage. The fundamental rate limiter is how many gigawatt hours per year of battery packs can we make?”

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“300 TWh of installed capacity for fully sustainable energy globally.”

Elon Musk also pointed out that the Tesla team is doing a phenomenal job and stands by his prediction that Tesla will be the most valuable company in the world.

Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.  

Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.

Teslarati is now on TikTok. Follow us for interactive news & more. Teslarati is now on TikTok. Follow us for interactive news & more. You can also follow Teslarati on LinkedInTwitter, Instagram, and Facebook.

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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Tesla AI Head says future FSD feature has already partially shipped

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Credit: Tesla

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:

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“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.”

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).

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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.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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