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Tesla Autopilot in 'Shadow Mode' will pit human vs computer Tesla Autopilot in 'Shadow Mode' will pit human vs computer

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Tesla pits human vs. computer while cars operate in ‘Shadow Mode’

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No one doubts that Elon Musk wants Tesla to be the first car company to offer fully autonomous cars to the public. After last night’s announcement that second generation Autopilot hardware, with 8 cameras and 40x more powerful computer, is now included in every car built at the Fremont factory, the question is not if Tesla will be first to market with self driving cars, but when.

As noted by white hat hacker Jason Hughes, it took a year for Tesla to activate the first version of Autopilot after the hardware was first added to production cars. New Tesla vehicles with self-driving hardware will likely see the same timeline before their vehicles become fully autonomous. But why?

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Remember, Tesla has gotten some push back on its Autopilot system since Joshua Brown was killed on a Florida highway last May. German regulators recently sent a letter to all Tesla owners warning them that Autopilot is not a self-driving system and they must always pay close attention to their driving. The California DMV has proposed regulations that would prohibit Tesla or any other company from using the words “self driving” or “auto-pilot” in company literature.

Until this point, Tesla has been free to operate Autopilot in beta mode. Regulators have deemed it to be little more than a “super cruise control” feature. But before Tesla can activate a system that purports to offer true Level 5 autonomy, it will need to convince regulators that the system functions as advertised and is safe not only for Tesla owners but for all members of the public. That is going to require data — massive amounts of data.

New Tesla Model S and Model X automobiles will run Autopilot in “shadow mode” and collect driving data that pits a human versus computer. Autopilot vehicles running in shadow mode will not take any driving-assist or self-driving actions. Rather they will only log instances when Autopilot would have taken action and compare those results to the real life actions taken by human drivers. Musk told the press that the ultimate goal is to improve its self-driving algorithms until they are better than human drivers. By having statistical data to back up the safety of its self-driving model, Tesla will have a better chance of proving to regulators that its vision for a Tesla-powered autonomous future will be safer for humanity.

However, experts in the field of autonomous driving say billions of miles of driving will be needed to verify the validity and safety of self-driving systems. Tesla now has collected approximately 220 million miles worth of data collected from Autopilot-equipped vehicles. As Tesla wirelessly adds millions more miles of driving data collected through previous generation and new ‘Enhanced Autopilot’ enabled vehicles, the company will take a commanding lead over the rest of the automotive and transportation services industry that is just beginning to understand what the future will look like.

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For Tesla owners whose cars are manufactured on or after October 19, 2016 — which will include all Model 3 sedans — they will have the satisfaction of knowing their car is capable, as Elon suggests, of driving from Los Angeles to New York City without any input from the driver, then navigating New York traffic, finding a parking spot, and parking itself all without input from a human driver. It couldn’t be a better time to be a Tesla owner, especially if you care about shaping the inevitable future.

"I write about technology and the coming zero emissions revolution."

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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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