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Tesla’s new self-driving computer (HW4): more cameras, radar, and more

Credit: greentheonly

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New images and details surrounding Tesla’s most robust self-driving computer, or Hardware 4 (HW4), were shown today, revealing additional cameras, a reintroduction of potential radar systems, and more.

Tesla released some details about HW4 during last year’s AI Day event. Still, additional specifications were revealed today by Greentheonly, a Tesla hacker who said the computer came from a Model X vehicle. Green said that Tesla has already started building vehicles with the new computer, but they are not yet being delivered.

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Right off the bat, green confirms what CEO Elon Musk said during the most recent earnings call: retrofits of HW4 into older vehicles will not be possible. While green shows the form factor of the new computer is completely different than past ones, even the most recent applications that were installed in Plaid vehicles, the new HW4 is simply not compatible.

Musk said during the Q4 Earnings Call in late January:

“But it is the cost and difficulty of retrofitting Hardware 3 with Hardware 4 is quite significant. So it would not be, I think, economically feasible to do so.”

Many of the specifics of HW4 are extremely technical, but it appears Tesla aimed to simplify the infotainment system to void a GPU daughterboard. The entire unit is smaller and sleeker, but the RAM, NVMe (nonvolatile memory express), CPU, and GPU are all identical to past units.

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Green adds:

“A lot less improvement than many hoped for. Still Samsung Exynos-IP based. Bumped CPU cores from 12 to 20 (5 clusters of 4 cores each), maxing at 2.35GHz, idle at 1.37GHz Number of TRIP cores increased from 2 to 3, 2.2GHz max freq All x2 since there are two SoCs per board.”

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Perhaps one of the most notable differences are there are now 12 “fully-populated camera connectors,” with one being utilized as a spare. The cameras are also labeled, and some seem to indicate that cameras will be added to the front and rear bumpers. “There’s a huge blindspot up front on legacy cars up front,” green notes.

This would make sense, considering Teslas currently utilize eight cameras, with the additional three connectors making way for the two rear and one front camera that will be added with the new hardware.

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Another interesting detail found by green was Phoenix radar, which is a rumored 4-dimensional radar that will help extend current reach by double. Tesla wanted to move away from radar, opting for a completely camera-based approach, which it did with the introduction of its Vision model.

Musk said during the Q1 2021 Earnings Call:

“When your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside your head, and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person.”

However, radar and a radar heater were both seen in vehicle coding. The Phoenix radar appears to be a type of forward radar that will be installed in HW4 vehicles.

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Perhaps more details will be shed regarding HW4 in the coming weeks, especially as Tesla’s Investor Day is approaching and will take place on March 1.

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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