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Tesla’s FSD Beta has met its match with tricky construction zones

Credit: Tesla Raj

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In Tesla’s quest for a self-driving vehicle, construction zones appear to be giving the recently released Full Self-Driving Beta the most issues of any traffic scenario thus far.

Tesla’s Full Self-Driving suite is still in its Beta stage, which is giving the all-electric automaker sufficient information in its pursuit of a fully autonomous vehicle. Only a small group of Tesla owners have access to the self-driving characteristic, with a majority of those creating content for enthusiasts to follow the software’s improvements.

With plenty of high points, there are also shortcomings, which show that Tesla has plenty of work to do in order to develop the self-driving software into an acceptable release candidate for other owners to utilize.

It is becoming more evident that construction zones may be one of the more difficult traffic situations that Tesla will encounter when writing the FSD software.

A new video from Tesla owner-enthusiast Tesla Raj shows that the FSD Beta has issues with construction areas despite its many improvements and updates.

Construction areas are difficult to navigate anyway and can confuse drivers as no two zones are identical. This may be why Tesla’s FSD suite has some issues with following instructions in certain areas and zones. For example, Raj’s FSD-equipped Model 3 was free to progress forward at a local road worker’s command. However, the vehicle did not continue navigating as the stoplight at the intersection was illuminated in red. The vehicle likely recognized the red light and correctly decided not to proceed. However, the worker’s commands were relevant at the time, and he requested that Raj move forward through the intersection.

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Normally, traffic rules are consistent and do not have many deviations in different states. However, construction zones rarely have identical rules because, depending on the project, the location, and weather conditions, things can vary.

This is likely where Tesla will encounter its biggest bottlenecks in the process of writing FSD software. Just as road rules vary from country to country, construction zones are difficult because of their lack of consistency. This is where experience and Tesla’s Neural Network will likely be the company’s biggest advantage in the quest for a self-driving car. The constant development of the company’s FSD software will lead to improvements over time.

The important thing to remember is the FSD Beta is still relatively young and has only been active for a couple of months. While it is highly complex, its performance depends on the number of miles driven by FSD users, and improvements will likely be refined over the course of the next several months and years, eventually leading to a fully autonomous vehicle. CEO Elon Musk expects Tesla to reach level 5 Autonomy by the end of 2021, but even he knows the company has plenty of work to do until that is a possibility.

Watch Tesla Raj’s video of the FSD Beta working through construction zones below.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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NASA taps SpaceX to launch the telescope that could unlock new worlds

NASA’s Roman Space Telescope heads to orbit this August aboard SpaceX’s Falcon Heavy with massive scientific ambitions.

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SpaceX is set to play a central role in one of NASA’s most anticipated science missions in years. The company’s Falcon Heavy rocket, currently the most powerful operational launch vehicle in the world, will carry the Nancy Grace Roman Space Telescope into orbit on August 30 from Kennedy Space Center in Florida. Roman is now in final preparations inside the Payload Hazardous Servicing Facility, where on June 26 technicians used a crane to lift the observatory into a specialized stand for fueling and pre-launch testing.

Roman is named after Nancy Grace Roman, NASA’s first chief of astronomy, whose career helped shape how the agency approaches space science.

NASA chose SpaceX Falcon Heavy because of Roman’s needs to reach a specific orbit far from Earth, well beyond where a standard Falcon 9 can deliver it. The Falcon Heavy, which first flew in 2018, has since become NASA’s go-to option for missions that need serious muscle without the cost and complexity of older launch systems.

Celebrating SpaceX’s Falcon Heavy Tesla Roadster launch, seven years later (Op-Ed)

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Roman will carry a field of view at least 100 times wider than the Hubble Space Telescope, meaning it can photograph enormous swaths of the universe in a single shot rather than the narrow slices Hubble captures. That difference in scale is significant. While Hubble reshaped our understanding of the cosmos over 30 years, Roman is built to work faster and wider, surveying hundreds of millions of galaxies at once.

One of Roman’s most compelling capabilities is its potential to discover and photograph planets orbiting stars outside our solar system, and with enough precision to directly image planets that would otherwise be lost. That means scientists could study the atmosphere and surface characteristics of distant worlds rather than simply confirming they exist. Combined with Roman’s sweeping field of view, the telescope could detect thousands of exoplanets, and some of those planets may be in habitable zones where liquid water could exist. No telescope currently in operation has this level of power and capability. That capability alone could change what we know about other worlds, and perhaps finally answer the question: are we the only intelligent lifeforms in existence? 

What Roman actually finds once it reaches orbit is an open question, and that is exactly what makes this launch worth watching.

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Tesla confirms crucial detail of Miami Robotaxi launch

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Credit: Tesla

Tesla has confirmed a crucial detail of its Miami Robotaxi launch, stating that the fleet is operating on an Unsupervised basis, joining a few other cities where company employees do not watch over the vehicles from inside.

Tesla’s Head of AI, Ashok Elluswamy, confirmed the detail on X, answering a highly speculated question about the Robotaxi Service in Miami, which was launched on June 3:

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The first launch of Robotaxi in Florida, Miami presents a unique opportunity for Tesla as it is operating the Unsupervised Robotaxi ride-hailing service in a major tourist hotspot in the Sunshine State. It also signals the suite will expand to other cities soon; many have requested Orlando, a heavy tourist spot with Disney and other resorts nearby, get access to the program soon as well.

Miami is getting a conservative rollout as well, just as Tesla has done with other cities. The initial geofence covers a compact 10–14 square mile zone in western Miami-Dade County, primarily West Miami extending toward Doral and Sweetwater. It is bounded roughly by SR-826 (Palmetto Expressway) to the north and US-41 (Tamiami Trail) to the south, excluding downtown Miami, Miami Beach, the airport, and most of Coral Gables.

Tesla has also been pretty slim on other details. For example, Tesla has not disclosed the exact fleet size, but field reports and license plate tracking indicate just two unsupervised Model Y vehicles were active on launch day, increasing to three within 48 hours.

According to The Road to Autonomy, a nearby staging lot near Miami International Airport holds dozens of Cybercabs alongside additional Model Y units, suggesting capacity for rapid scaling as demand and data collection grow.

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The confirmation of Robotaxi being Unsupervised carries immense weight. It establishes that Tesla’s Miami Robotaxi operations run without human safety drivers or remote supervision, relying entirely on the company’s Full Self-Driving technology. Miami becomes the second major U.S. city after Austin to offer unsupervised Robotaxi rides from day one.

The move reflects rapid progress in Tesla’s AI efforts. Neural networks trained on vast real-world data now handle complex urban environments, including South Florida’s heavy traffic, pedestrians, and rainy conditions. Industry observers see it as validation of Tesla’s vision-centric, data-driven approach versus traditional rule-based systems; a truly unorthodox approach in this day and age.

Challenges remain, including regulatory oversight, public trust, and scaling the fleet to match geofence ambitions. Miami’s small initial footprint and limited vehicles highlight a deliberate, measured expansion strategy focused on safety and data gathering.

Nevertheless, the unsupervised confirmation marks a pivotal milestone. It showcases technical readiness and advances Tesla’s vision of transforming vehicles into autonomous revenue generators while reshaping urban mobility. For Miami users, driverless transportation has moved from concept to reality.

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Radiologist who drove Tesla off cliff has attempted murder charges dismissed

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Credit: ABC7 News Bay Area/YouTube

A California radiologist who drove his Tesla Model Y off a 250-foot cliff in an attempt to kill his family has had his charges dismissed after doctors say he is “doing well” in a mental health program.

Dharmesh Patel was charged with three counts of attempted murder in connection with a January 2023 crash where he drove his Tesla off a cliff, injuring his wife and two children, aged 7 and 4 at the time.

Patel drove the Tesla off Devil’s Slide in California, an area that is extremely rough to the point that investigators and rescuers expected the worst when arriving at the scene for the first time. Patel supposedly had schizoaffective disorder, according to Deputy District Attorney Dominique Davis.

Shockingly, Patel’s wife, who was in the vehicle, testified that she did not want her husband to be prosecuted, noting that their children missed their father and they wanted him to come back home. Patel’s attorney argued, “not everyone who commits a crime is a criminal.”

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Doctor who took Tesla off cliff gets support from unlikely person

A three-day trial in Mental Health Diversion Court ruled in Patel’s favor, which kept him out of jail and instead on house arrest. He was admitted to a Mental Health Diversion Program, which he successfully completed, the Associated Press reported. San Mateo County District Attorney Steve Wagstaffe said the judge was “required by law” to dismiss the charges:

“If the person who’s given mental health diversion follows the treatment plan, there’s nothing that can be done, and at the end of the two years he gets it wiped out of his record.”

Wagstaffe said he has argued, along with other DAs in California, to have attempted murder removed from the list of charges eligible to be dismissed due to mental health diversion programs.

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Patel had the charges officially dismissed on Monday; his wife waited for him as he left court and they departed the building together, according to Mercury News. Patel surrendered his California medical license in December.

The crash has been one of the best examples of Tesla’s incredible engineering, which has saved four lives in this particular instance. The car was totalled but kept the four human beings alive and safe, which is something that many referred to as “an absolute miracle.”

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