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FBI taps Tesla Sentry Mode footage to help catch man behind alleged hate crimes
It appears that some members of the Federal Bureau of Investigation (FBI) are now becoming familiar with Tesla’s built-in security features like Sentry Mode, which allows vehicles to record videos from their cameras to actively monitor their surroundings. This was undoubtedly the case in an incident back in December, which involved slashed tires, arson, and what appears to be a racially motivated attack against a church.
In an affidavit dated April 15, 2021, FBI Special Agent Casey Anderson outlined the events that led to an incident that resulted in the destruction of the Martin Luther King, Jr. Community Presbyterian Church in Springfield, Massachusetts. The suspect behind the incident, 44-year-old Maine resident Dushko Vulchev, is a naturalized United States citizen from Bulgaria. As per the FBI agent’s affidavit, Vulchev had previously run afoul of the law prior to his apparent arson in December, having been convicted of threatening a foreign official in 2015 and a series of offenses such as domestic violence assault in 2017.
The Martin Luther King, Jr. Community Presbyterian Church in Springfield, Massachusetts before the fires. (Credit: CourtListener)
The Attacks
In December 2020, the MLK Church experienced a series of fires, one of which eventually destroyed the whole building. The first of these fires were reported on December 13, when the fire department was deployed to extinguish a blaze behind the church. On the same day, a vehicle had its tires slashed two miles away from the church. The next day, a BMW about 1.5 miles away from the MLK church and a Tesla parked less than a mile away from the church had their tires slashed. In the case of the Tesla, its owner found that one of the vehicle’s wheels was also missing.
Another fire behind the Martin Luther King, Jr. Community Presbyterian Church was set on December 15, 2020, at around 6:32 p.m. The Springfield Police Department (SPD) Arson and Bomb Squad investigated the fire and promptly determined that the blaze had been intentionally ignited. Interestingly enough, another fire in the church was reported at 11:03 p.m. that same day. Upon investigation, the SFD reported that the blaze had been “intentionally set to eventually involve the structure” of the church.
Things essentially calmed down until December 27, when a Dodge Charger had its tires slashed just 400-500 feet away from the MLK Church. At around 5:06 a.m. the next day, the American International College campus police reported a new blaze at the MLK Church. This time, the fire was started just outside the basement side door, where it burned through and up through the church’s main floor. The blaze essentially destroyed the church, and upon investigation, the SPD concluded that the fire was intentional.
Photos of the MLK Church during the December 28, 2020 blaze. (Credit: CourtListener)
The Investigation
Investigators working on the case were able to obtain several video footage relevant to the case. In the first tire slashing incident on December 13, footage from the City of Springfield recorded a gray Chevy Cruze pulling up into the same parking lot as the vehicle that was attacked. The car was found to have been registered to the suspect, Vulchev. City video footage captured the suspect crossing the street in the direction of the MLK Community Center later that day. The gray Chevy Cruze was also recorded circling the MLK Church.
Vulchev’s Chevy Cruze was sighted by city video footage once more the next day, when the BMW tire slashing incident transpired. As per the FBI agent’s affidavit, a while male matching Vulchev’s height, gait, and clothing, was spotted approaching the BMW. Later that day, a Tesla became the next victim of the suspect’s tire slashing tendencies. But this time around, the special agent didn’t just have a faraway shot of a man approaching a vehicle. This time around, authorities were able to get a clear shot of Vulchev as he was slashing and stealing the Tesla’s tires and stealing a wheel, thanks to Sentry Mode. Tesla’s built-in cameras even captured the suspect putting the stolen goods inside his trunk.
Special Agent Casey Anderson related his experience with Teslas and their built-in cameras in his affidavit. “Based on my training and experience and this investigation, I am aware that the Tesla referenced above is equipped with cameras at various points around the body. ATF Special Agent Marc Maurino (“SA Maurino”) and I have reviewed video footage retrieved from the Tesla showing an individual that I can identify as Vulchev, based on my observation of Vulchev during the Vulchev PPD Interview.
“The video footage from the Tesla shows Vulchev at a close distance crouching near the Tesla and using a tire iron to remove the wheels. Additional Tesla video footage captured Vulchev removing one of the Tesla’s wheels and placing it in the trunk of Vulchev’s car. Vulchev’s face is clearly visible in the video. Vulchev was wearing grey pants and a dark-colored sweatshirt, Adidas three-stripe sneakers, a black hat with two grey stripes, and light-colored work gloves, the agent noted in his affidavit.
Vulchev and his vehicle were spotted around the MLK Church fires, as well as subsequent tire slashing incidents.
The MLK Church after the December 28, 2020 fire. (Credit: CourtListener)
The Arrest
On December 30, 2020, a complaint about a vehicle driving erratically was reported to authorities. When provided with the license plate of the vehicle in question, it was determined that the car was Vulchev’s. Police stopped the suspect’s vehicle on suspicion of erratic driving and possible links to the multiple tire slashing incidents. Since they were aware of the ongoing federal investigation into the fires against MLK Church, local authorities promptly contacted FBI Supervisory Special Agent of the Springfield Resident Agency Matthew Fontaine.
Special Agent Fontaine arrived at the scene of the stop, and upon initial investigation, the FBI agent noted that the suspect may have been living in his car for some time. The FBI agent spoke with the suspect for about eight minutes outside, and immediately, Fontaine noted that Vulchev was wearing the sneakers that were captured clearly by Tesla’s Sentry Mode. PPD officers initially released the suspect, though he was arrested the day after over his links to the multiple tire slashing incidents and the Martin Luther King, Jr. Community Presbyterian Church fires.
On January 4, 2021, the FBI and ATF conducted a search of Vulchev’s vehicle, where they found a computer, a hard drive, and several USB storage devices. A search of the computer revealed Vulchev’s shocking racially charged stance against non-white people. This was seen in messages to an ex-girlfriend—who currently has a lifetime protective order against Vulchev—which featured numerous slurs against Muslims and blacks. Vulchev’s apparent hate against non-whites was notable, as seen in a message to his ex-girlfriend where he was complaining about the race of ABC’s The Bachelorette. A search of the suspect’s phone revealed photos of several notable items, such as a firearm, an image of Adolf Hitler in an Adidas tracksuit, and a “White Lives Matter” mural, as well.
With these in mind, FBI Special Agent Casey Anderson noted that there is probable cause to believe that Vulchev committed damage to religious property, which is in violation of 18 USC §§ 247(c) and (d)(3), and the use of fire to commit a federal felony, which is in violation of USC § 844(h)(1). As per a press release from the US Department of Justice, Vulchev is currently in state custody and is due to make an initial appearance in federal court in Springfield at a later date.
FBI Special Agent Casey Anderson’s complete affidavit could be accessed below.
gov.uscourts.mad.233009.2.1_1 by Simon Alvarez on Scribd
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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
