News
The ‘Tesla Effect’ hits Texas as Giga Austin starts transforming Travis County
For decades, the Del Valle area, an underdeveloped section of southeastern Travis County, saw minimal commercial investment. The area was poised for growth, but the arrival of companies that would provide work for the area’s residents was very deliberate. That is, at least, until Tesla announced that it will be building its Gigafactory Texas facility in the area.
Tesla is investing at least $1 billion in its new factory, and it intends to employ 5,000 workers in manufacturing jobs. It did not take long before the expansive 2,000-acre lot — which Elon Musk has stated will be developed into an “ecological paradise” — turned into a sign of growth and progress for Del Valle. With work at the site now “moving at the speed of Elon” as per a developer, Giga Texas could very well become the trigger for change in the oft-neglected section of Travis County.
In a statement to the Austin American-Statesman, Travis County Commissioner Jeff Travillion noted that the Del Valle area has been ready for a transformation for some time now. Del Valle’s residents are nearly twice as likely to be African-American compared to Travis County as a whole, and its concentration of Latino families is also above average for the US. This unfortunately meant that household incomes in the area lag in comparison to other areas of the county.

Within the Del Valle Independent School District’s boundaries alone, the average median income stands at just $20,000 per year, less than Travis County at large. This could change with Tesla’s arrival. “I hope we can build sustainability while we are building the economic infrastructure for that area. I’m optimistic. It can lead this community to a thriving future, but we cannot forget our most vulnerable populations,” he said.
Executives from the electric car maker have noted that about 65% of the estimated 5,000 jobs it will be offering will involve unskilled labor that does not require a college degree. The company has further noted that the average annual salary for workers at the plant will be $47,147, while the median salary would be $68,303. With this, Giga Texas would likely become an attractive place of work for many of the county’s residents.
The “Tesla Effect” that’s expanding into Del Valle will not only be felt by the area’s job market. With the company’s vertical integration, Gigafactory Texas could herald the arrival of other companies that are partnered with the electric car maker as well. Such a thing happened in 2003 in San Antonio, Texas, when Toyota decided to build its trucks in the city. Toyota opted to have tier-one suppliers onsite, which, in turn, resulted in suppliers establishing their own presence in San Antonio. About 4,000 more jobs were brought about by this strategy.

The Del Valle school system stands to benefit from Gigafactory Texas as well. In a statement, Del Valle school board president Rebecca Birch stated that having a major Tesla facility around could open up numerous opportunities for students. Giga Texas, for example, could create a large number of internships and mentorship programs that students could take advantage of.
“We’re excited about the opportunity and can’t wait to see what this means for our kids. We made sure that we put students first and we hope this means everything we dream it will,” she said.
Gigafactory Texas will likely be Tesla’s most impressive facility yet. With such an expansive area, the electric car maker could expand its operations significantly, perhaps even pursuing some of its own battery production efforts. It also stands to be the first of Tesla’s facilities that would actually be partially open to the public, with sections such as a boardwalk and a hiking/biking trail being accessible for everyone.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.