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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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Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla Cybertruck is officially the safest pickup, IIHS says
