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Tesla shares updates on workplace safety, CAL-OSHA investigation results
During the recently-held third quarter earnings call, CEO Elon Musk and VP for Environmental, Health and Safety (EHS) Laurie Shelby briefly discussed the safety initiatives that the company has implemented to keep its factory workers as safe as possible. In one of her remarks, the VP of EHS noted that it is an exciting time for Tesla today, as the company is making the “safest cars made by the safest people.”
In a recent blog post on Tesla’s official website, Laurie Shelby elaborated further on the company’s safety programs that were rolled out over the past year. Since joining Tesla back in October 2017, Shelby stated that her EHS team had grown to 250 employees, including 35 EHS staff in the Fremont factory alone. Several programs, some of which were teased during the earnings call, have also been started as part of Tesla’s pursuit of becoming the safest car factory on the market.
Back in June, for example, Tesla the started transitioning to a new occupational health clinic in the Fremont factory. These clinics are overseen by a leading California orthopedic surgeon specializing in the diagnosis and treatment of musculoskeletal injuries, which comprise around 85-90% of injuries in Tesla’s facilities. Shelby pointed out in her update that prior to its current system, Fremont’s health facility provided a lineup of services that was primarily focused on triage and first aid. With the newly rolled out clinic, Tesla’s workers can receive on-site, specialized care from full-time physicians who can provide medical assessments and immediate diagnosis.
As part of Tesla’s Early Symptom Intervention program, the company has also begun sending professional athletic trainers on the factory lines to identify potential injuries before they occur. These trainers are tasked with offering on-site evaluations and suggestions for improved ergonomic safety. So far, trainers have conducted more than 6,000 consultations with Tesla employees from the General Assembly, Seats, and Production Control lines, to name a few.
Perhaps most notable in the EHS VP’s update, though, was additional information on the CAL-OSHA investigation that was conducted earlier this year. Back in April, an expose by news agency Reveal based on accounts from alleged insiders and previous workers at Tesla accused the company of intentionally misreporting its injury rates. The expose blamed much of Tesla’s alleged safety problems on Elon Musk himself. At one point, for example, the publication noted that Tesla didn’t have enough hazard markings on the factory floor because “Elon does not like the color yellow.” Tesla promptly fired back, strongly denying the allegations in the report. A CAL-OSHA investigation into Tesla’s alleged malpractice eventually followed.
During the third quarter earnings call, Laurie Shelby noted that the CAL-OSHA investigation lasted four months, and the organization found no misreporting on Tesla’s part.
“The company here had a 4-month long Cal-OSHA investigation. And it basically proves that we are recording properly and doing as we should be. So it’s much different than what you would read about in the press,” she said.
In her safety update, Shelby added that after an extensive review of Tesla’s legally mandated records, injury logs, and safety policies, CAL-OSHA identified only two minor issues. One was an extension cord connected to a fan that created a potential trip hazard, and another was a date of injury that was incorrectly logged. Tesla promptly addressed the extension cord issue, while the incorrectly logged date of injury was immediately clarified and confirmed by a medical provider.
In true Tesla fashion, the company has ambitious goals when it comes to the safety of its employees. Earlier this year, for one, Shelby wrote a post announcing the company’s target of becoming the safest car factory in the world. The VP for EHS noted then that ultimately, workplace safety comes down to a combination of common sense, a culture that values safety, and a series of proactive preventive measures. If her recent update is any indication, it appears that over the past year, Tesla has started to make progress on all three fronts.
The full text of Tesla VP for EHS Laurie Shelby’s entire update could be accessed here.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
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:
“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.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
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).
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.
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.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
