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How Tesla’s vision for the Robotaxi aligns with its focus on sustainability and environmentalism

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Tesla’s vision for the Robotaxi fleet has always been to revolutionize the way vehicle ownership is perceived. Tesla owners would eventually be able to let their car run an entire shift of ride-hailing without the presence of a driver, letting a $40,000 side-hustle compile an additional American base salary all while you sleep.

In the past, Tesla has had lofty expectations for the Robotaxi fleet, but the timelines have commonly fallen short as the automaker has not been able to solve the complex puzzle that is fully autonomous driving. With that being said, Tesla has surely made plenty of strides in its quest for a self-driving car. It has expanded its FSD capabilities outside of the United States and has even expanded its Beta testing program to over 100,000 active members.

However, the tone of Tesla’s Robotaxi vision a few years ago was truly based on a potential income stream for owners, and not necessarily on how much the fleet would help the company’s focus on sustainability and environmentalism. While previous narrations from Tesla executives have dialed in on the potential accomplishment of being the first carmaker to achieve Level 5 autonomy, Tesla’s 2021 Impact Report painted a different picture, and it had more to do with efficiency than anything.

Tesla has a pretty good nose when it comes to how its products operate and what consumer sentiment is regarding its vehicles. One of the most revolutionary ways Tesla has improved vehicles is through Over-the-Air software updates, which bring new features and bug fixes to your car the same way Apple sends new emojis to your iPhone. The difference is that Tesla’s software updates can help make the vehicles more efficient by operating with less energy used per mile.

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Tesla confirms new Robotaxi without steering wheel and pedals for 2024 production

“The energy efficiency of Tesla vehicles will continue to improve as we improve our technology and powertrain efficiency,” Tesla said in the Impact Report. Of course, through groundbreaking new product developments, improvements to battery chemistry, and even efficiencies in the supply chain and manufacturing buildout could eventually translate to better efficiency in Tesla’s cars. However, the most striking bit of information had to do with Tesla’s changing perspective on the Robotaxi fleet:

“It is also reasonable to assume that our high-mileage products, such as our future Tesla Robotaxis, will be designed for maximum energy efficiency as handling, acceleration and top speed become less relevant. This will minimize cost for our customers as well as reduce the carbon footprint per mile driven.”

Tesla’s Robotaxis will undoubtedly contribute to more efficient vehicle use, as they will perform cautiously and more consistently than a human driver can. Human drivers still love to feel the pull of Tesla’s instant torque, they love to feel the incredible handling as the all-electric vehicle maneuvers around a tight turn. Despite these perfectly normal behaviors, they do decrease driving efficiency, and Robotaxis, when used in a much wider sense than many of us will imagine, will only contribute to Tesla owning the reputation for building the most efficient EVs on the market.

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Credit: Tesla

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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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Tesla and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

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.

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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.

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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.

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Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

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.

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The Cybertruck avoided every single pedestrian collision, including:

  • Daytime child crossing
  • Nightitime adult crossing
  • Night parallel adult

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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.

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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.

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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.

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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.

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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.

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