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Florida man charged after trying to hit Tesla protestors with car
Tesla protestors were nearly struck with the man’s car, though authorities say no one was injured.
A man in Florida has been charged with assault after attempting to drive into protestors outside of a Tesla store over the weekend, coming as the latest in ongoing protests and vandalism against CEO Elon Musk.
On Saturday, 44-year-old Andrew Tutil attempted to drive into protestors with his Nissan Pathfinder at the West Palm Beach Tesla store, although no one was injured, according to a report from Palm Beach Daily News. The store had around 150 protestors outside around 1:00 p.m., and Tutil reportedly drove slowly into the crowd before parking on the sidewalk and getting out.
“He drove into a crowd of senior citizens,” said Mark Offerman. “Everybody was able to move out, but two older women were really almost clipped. We immediately called the cops.”
After parking on the sidewalk where protestors had to jump out of the way, Tutil, a retired U.S. Army Captain, civil engineer, and supporter of Donald Trump, claimed that he was an employee of the Tesla store and that his brakes and electronics had malfunctioned, according to Offerman.
Palm Beach County records show that Tutil was later arrested and charged with first-degree felony aggravated assault with a deadly weapon without intent after police questioned Tutil and surrounding witnesses and reviewed photos and video footage.
The news comes as a wave of protests, acts of vandalism, and some violent encounters such as this one have been increasingly targeting Tesla stores in recent weeks against Musk and the Trump administration. Additionally, Musk’s work with Trump’s newly created “government efficiency” division has been a central theme in protests at Tesla stores, as federal workers have expressed criticism for the administration’s approach to “eliminating fraud and waste.”
🚨 President Trump on Tesla protests and vandalism:
— TESLARATI (@Teslarati) March 11, 2025
READ MORE ON TESLA PROTESTS: I went to an anti-Musk protest at a Tesla store in Colorado—here’s what I experienced
The widespread protests began in January, after Musk performed what many said looked like a Nazi salute at Trump’s inauguration ceremony, and after he spoke at a campaign event for the far-right German party Alternative for Germany (AfD). During the rally, Musk said that there was “too much of a focus on past guilt and we need to move beyond that,” which many claimed was in reference to Nazi Germany.
The so-called “Tesla Takedown” movement launched over the past several weeks is targeting around 500 separate protests across 277 stores around the U.S. The Palm Beach protest on Saturday was just one of a handful in Florida alone, including those in Gainesville, Jacksonville, Merrit Island, and Sarasota, to name a few.
One protestor at a Tesla store in Colorado earlier this month told Teslarati that she was protesting Musk because she was “highly concerned that our Constitution is being ignored,” adding that “it’s dangerous to have power rest in a handful of ultra-wealthy people.”
Others at the event highlighted Musk and Trump’s attacks on queer, trans, and non-binary people, as well as the administration’s recent controversies with Ukraine President Volodymyr Zelenskyy, and claims that the President is aligning with Russia President Vladimir Putin, as a few of the major reasons they were protesting at the Loveland Tesla store.
Musk has mostly deflected and made light of claims of his alignment with Nazis, while the public has been polarized on defending or condemning these and other actions.
The Tesla CEO was defended by Israel Prime Minister Benjamin Netanyahu, who said he was being “falsely smeared” immediately following the inauguration event. While the Anti-Defamation League (ADL) also went on to defend the action as an “awkward gesture,” the group has since condemned some of Musk’s more recent posts making light of genocide.
Earlier this month, Musk reposted then deleted a screenshot shared by X user Rothmus claiming that “Stalin, Mao and Hitler didn’t murder millions of people,” but that “their public sector workers did.”
“It is deeply disturbing and irresponsible for someone with a large public platform to elevate the kind of rhetoric that serves to undermine the seriousness of these issues,” the ADL wrote in a response on X.
Credit: Rothmus/Alice Smith (via Elon Musk repost on X)
In addition to what have largely appeared to be peaceful protests at Tesla stores, a number of acts of vandalism, including graffiti, arson, and some even more violent assaults involving weapons, have been targeting the automaker’s locations around the world.
Multiple people were taken into custody following repeated arson and graffiti at a Tesla store in Colorado within the past few weeks, while multiple Tesla vehicles have been set on fire at stores, and one Tesla store has been shot at. Owners of Tesla’s vehicles have also been targeted in public, with some being captured on Sentry Mode keying or tagging the vehicles.
The Trump administration has also started labeling such attacks against Tesla as “domestic terrorism,” and the Federal Bureau of Investigation (FBI) has started investigating several of the events, including one involving two Cybertrucks that were set on fire in Seattle and another at a store in Oregon that was shot at twice in a few weeks.
Tesla’s Giga Berlin director responds to anti-Musk criticism
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
