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Tesla’s health clinic surgeon explains practice amid Reveal’s new allegations
Last Monday, an expose was published accusing Tesla of intentionally ignoring workers’ injuries. Citing former employees and a physician assistant who briefly worked in the company’s health clinic at the Fremont factory, Reveal, a publication that prides itself with its investigative reporting, accused Tesla of withholding medical care to its workers, to minimize how many injuries the company includes in its official records.
The new expose is not the first time Reveal trained its sights on the electric car maker. Earlier this year, the publication, based on accounts from former employees, accused Tesla of misreporting injury rates and ignoring safety concerns due to the whims of executives like Elon Musk. The publication’s allegations ultimately resulted in an investigation by the CAL-OSHA, which lasted four months. As noted by VP for Environmental, Health and Safety (EHS) Laurie Shelby during the third quarter earnings call and in a following blog post in Tesla’s official website, the CAL-OSHA investigation found no misreporting on Tesla’s part. The CAL-OSHA did find one safety issue and one record-keeping error during its four month-long investigation, in the form of an extension cord that was categorized as a trip hazard and an injury log that had an incorrect date.
Apart from doubling down on previous allegations — such as Tesla’s factories lacking hazard signs due to Elon Musk’s dislike of the color yellow — Reveal‘s new expose, written by journalist Will Evans, related several accounts of workers being denied proper medical care. One such instance involved a worker who severed the top of a finger being sent to the emergency room in a Lyft, as well as an employee who was asked to report to work even after being injured in the Model X line. The publication also alleged that Tesla forbids employees to call 911 without a doctor’s permission. Former PA Anna Watson, who worked in Tesla’s Fremont health clinic for about three weeks, noted that Tesla’s employees are paying the price for the company’s unsafe practices. Watson further alleged that she was terminated by Access Omnicare after raising safety concerns.
“The goal of the clinic was to keep as many patients off of the books as possible. The way they were implementing it was very out of control. Every company that I’ve worked at is motivated to keep things not recordable. But I’ve never seen anybody do it at the expense of treating the patient,” she said.
The publication’s new allegations have emerged as a dark cloud hovering over Tesla’s revamped workers’ safety programs, which have been at the forefront of the company as it continues to ramp its operations. Since hiring VP for Environmental, Health and Safety (EHS) Laurie Shelby last year, Tesla has actively rolled out new initiatives to raise the level of safety for its facilities’ amidst the company’s ever-increasing number of workers. Shelby, for one, has noted that Tesla remains focused on its efforts to become the safest car factory in the world.
Tesla is yet to respond to Reveal‘s new report, though a spokesperson from the company noted that Watson completed a total of five shifts before her employment was terminated. Dr. Basil Besh, an orthopedic surgeon and founder of Access Omnicare, has also issued a statement explaining the company’s practices when dealing with workers’ injuries. Besh, who currently serves as the chair of the American Academy of Orthopaedic Surgeons (AAOS) Board of Councilors (BOC), noted that the care that Access Omnicare gives to Tesla’s employees is the same care he gives to his personal clientele. The orthopedic surgeon noted that he had spoken to Reveal journalist Will Evans about the safety practices in the Fremont factory.
“I spent nearly one hour with Reveal detailing Tesla’s decision earlier this year to bring me and my medical team on site at Fremont, providing its employees with state-of-the-art occupational and musculoskeletal health care. I detailed our vision for exemplary patient care, and I gave specific examples of protocol improvements and subsequent successes in outcomes in only four short months, including accurate diagnoses and reducing needless delays for advanced testing and treatment. I patiently educated Will Evans on how Tesla allowed me to give the same care to Tesla employees that I do to my private patients including ones who are professional athletes, with the ability to get necessary testing and treatment in a timely manner without being hindered by an often cumbersome California Worker’s Compensation System that sometimes negatively effects injured workers.”
Dr. Besh further noted that different types of injuries require different types of immediate care. The medical professional also denies that any malpractice is ongoing in the Tesla factory.
“I counseled Will on the difference between subjective complaints of pain, which cannot be proven and are often magnified, and objective signs found only on careful clinical examination by an experienced physician. I even mailed Will a copy of a relevant chapter from the American Medical Association Return to Work Guidelines and offered to make myself available for additional questions. Research and evidence-based medicine indicate that deconditioning injuries involving sore muscles should not be treated with inactivity as this only exacerbates the problem, but should instead be treated by proactive conditioning, ergonomic modifications, and supportive care. Not all patients in pain should be off work, at home, and on opioids. In fact, it is most often in these patients’ best interest to have supportive care that enhances their activity, their function, and their well-being.
“As a physician, my foremost obligation is to perform a careful history and physical examination, order additional tests when clinically indicated, make an accurate diagnosis, and deliver the absolute best care possible. If patients are injured, and continued work presents safety issues for the patient, myself and my fellow physicians prescribe the appropriate work restrictions. Any suggestion that myself or any of my medical team at AOC allow external factors to influence our medical care in any way is false and inaccurate.”
Ultimately, Dr. Besh also pointed out that ambulances are reserved for life or limb-threatening injuries. The surgeon did not provide a direct comment about former physician assistant Anna Watson, due to the latter being the subject of an ongoing investigation by the California Medical Board.
“Rather than deliver an informative and balanced piece of journalism, Reveal has instead chosen to hitch its wagon to Ms. Anna Watson, a provider with whom we severed ties after less than two weeks at our clinic and about whom I cannot provide any additional comment as she is currently the subject of an investigation by the California Medical Board. Instead of highlighting the tremendous progress being made in both patient safety and patient care at Tesla, this report uses poor sourcing to tell a story consistent with a predetermined agenda,” Dr. Besh stated.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
