Connect with us

News

Tesla Cybertruck steel supplier’s $1.7-billion TX facility is coming to form

Credit: u/X5AT_1/Reddit and Steel Dynamics Inc.

Published

on

It appears that the pieces are starting to come together for the Tesla Cybertruck. Apart from the rapid development of Gigafactory Texas, Steel Dynamics, Tesla’s supplier for the steel that would be used in the vehicle, is also making some great progress in its Sinton, TX mill. Aerial video of Steel Dynamics’ Sinton site shows that the complex is quite large, and a good portion of it has already been fitted with equipment. 

Steel Dynamics’ Sinton plant is estimated to cost $1.7 billion, which should allow the facility to provide numerous good-paying jobs to workers in the area. It was also initially announced to start operations in Fall 2021. What’s quite interesting is that the Sinton steel plant is only about 167 miles away from Gigafactory Texas. This should make the transportation of steel between the two facilities feasible, which should help Tesla ramp Cybertruck production smoothly. 

Credit: Steel Dynamics Inc.

While the development of Steel Dynamics’ plant in Sinton is not as quick and radical as the evolution of Gigafactory Texas, the site has grown significantly over the past months. When San Patricio County Judge David Krebs spoke to local media outlets about the project last December, the area for the steel plant only had relatively little work done. More recent aerial footage of the site reveals that several buildings have now been constructed, and some of them even have equipment installed. 

Interestingly enough, Tesla has stated in the past that the steel which would be used for the Cybertruck would have some unique touches. Judge Krebs’ previous statements about Steel Dynamics’ TX Plant hinted at this, as he noted that Tesla would be “redoing” the steel from the Sinton plant to create its all-electric pickup. This suggests that Tesla is being particularly careful about the Cybertruck’s secrets, especially those that involve the vehicle’s exoskeleton and body. 

Credit: Steel Dynamics Inc.

“Now some of these other companies who work with SDI will actually be taking SDI’s product and refining it a little bit better. We’re hearing that one of the companies that were pretty close to–probably getting close–is a company that’s going to be taking SDI steel, redoing it, and that steel will actually be going into the Tesla cars that they’re moving in from California to manufacture here,” Krebs said. 

The Tesla Cybertruck is expected to enter its Beta phase later this year, with mass production starting next year. This effectively gives Steel Dynamics more time to build out and develop its Sinton, TX plant. And if everything goes well, Tesla may very well find itself with a reliable steel supplier that could keep pace with the company and the potential demand for its uniquely-designed all-electric pickup truck. 

Credit: Steel Dynamics Inc.

Recent drone footage of Steel Dynamics’ Sinton, TX plant could be viewed here

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up. 

Advertisement
-->

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

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.” 

Published

on

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

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

Published

on

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

Advertisement
-->

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.

Continue Reading