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Elon Musk won’t be using LIDAR in upcoming Tesla Autopilot update

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Tesla CEO Elon Musk has been opposed to the idea of using LIDAR for self-driving cars stating that the same benefits can be achieved at a cheaper cost when used with cameras and radar. using  “I don’t think you need LIDAR … you can do this all with passive optical and then with maybe one forward radar”, Musk said during a press conference last October. “I think that completely solves it without the use of LIDAR. I’m not a big fan of LIDAR, I don’t think it makes sense in this context.”

Though a Tesla Model S with LIDAR equipment was spotted cruising through the streets near Tesla’s headquarters in Palo Alto, CA, which led to further speculation that perhaps Tesla is reconsidering its use of of LIDAR hardware in its next generation Autopilot, a new tweet from Musk reveals that Tesla will continue its stance on using radar technology. The Tesla CEO writes via Twitter, “Working on using existing Tesla radar by itself (decoupled from camera) w temporal smoothing to create a coarse point cloud, like lidar”

Despite Musk’s stated case against LIDAR, Google believes infrared LIDAR technology used for creating a 3D map of its vehicle’s surroundings is the answer to autonomous cars. Industry experts on self-driving cars believe Joshua Brown’s fatal accident which saw his Autopilot enabled Model S crash into a white tractor trailer against a brightly lit sky, could have been prevented if LIDAR technology was used.

But despite the tragedy, it would seem that LIDAR will not be part of the equation for future versions of Autopilot. “Good thing about radar is that, unlike lidar (which is visible wavelength), it can see through rain, snow, fog and dust”, says Musk on Twitter.

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But what about the array of cameras observed on a Model S test mule spotted outside of Pittsburgh recently? A careful observer can make out a number of additional cameras behind the windshield and some oddly positioned across the front bumper. From outward appearances, it looks like the test mule was set up in a way that would allow Tesla engineers to assess the capabilities of past, present, and future Autopilot hardware simultaneously. Being able to compare data from different sensors under exactly the same ambient lighting and weather conditions could give Tesla engineers valuable feedback about which sensors perform best under a variety of circumstances.

In the wake of the news that NHTSA and NTSB have opened investigations into how Autopilot operates and its safety, changes may be in the offing, but don’t expect to see a LIDAR system in place.

Photo credit: TeslaOwner

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SpaceX will perform Starship double catch attempt with Flight 15

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Credit: SpaceX

SpaceX plans to attempt what will be a defining moment in rocket reusability on Starship Flight 15.

As Elon Musk announced in a recent X post, SpaceX will attempt to catch both the Super Heavy Booster and the Starship upper stage during the upcoming orbital flight. If successful, it will mark the first time that all parts of an orbital rocket return to Earth intact, a breakthrough Musk has called essential to making life multiplanetary.

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Previous flights have demonstrated the tower-catch technique with Super Heavy. SpaceX has successfully caught V1 boosters three times (on Flights 5, 7, and 8), with some even reflown. The Ship upper stage has never been caught.

Returning from orbital velocity after deploying payload makes it a significantly harder challenge due to higher energy, heat loads, and the need for precise belly-flop reentry, a flip maneuver, and a final landing burn to settle between the Mechazilla tower’s chopstick arms.

Flight 15, using Booster 22 and Ship 42 (both Block 3 vehicles), is targeted for no earlier than Friday, November 13, 2026, from Orbital Launch Pad 2 at Starbase, Texas. The 75-minute window opens at 4:45 p.m. CT, pending regulatory approval. After hot staging and separation, the booster is planned to return for a catch roughly 6 minutes and 35 seconds after liftoff.

The Ship will insert into a roughly 275 km orbit, deploy 26 advanced Starlink V3 satellites, complete about 14 orbits over more than 22 hours, and—if systems check out—perform a deorbit burn, reentry, flip, and landing burn for a tower catch at approximately T+22 hours 32 minutes.

SpaceX confirms Starship 15 launch window with massive ambitions

A simulation shown during SpaceX’s October earnings call depicted the Ship descending in a belly-flop attitude, flipping upright with a short engine burn, and being captured by the arms:

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Contingency splashdown zones exist in the Gulf of Mexico (booster) and Pacific (Ship) if a catch is not viable. SpaceX has stressed rigorous health checks before committing the Ship to a return-to-launch-site trajectory.

Musk has described the odds of success on this first dual-catch attempt as “more likely than not,” noting a steady stream of additional flights is already scheduled if needed. Full recovery would enable rapid inspection, refurbishment, and reflight—slashing costs and supporting the high launch cadence required for Starlink expansion, lunar missions, and eventual Mars settlement.

As Musk put it, this is “the critical breakthrough needed to make life multiplanetary.”

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Tesla Cybercab is set to get some massive improvements

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Credit: TechOperator | X

Tesla Cybercab is going to get some pretty substantial updates, including improvements to efficiency and a new color.

CEO Elon Musk said in a post on X on Saturday that Tesla would be working to refine the Cybercab even more, following the announcement during the week that the company would eliminate the Cybertruck lines within Giga Texas for more Cybercab manufacturing capacity.

“There are efficiency improvements coming that will allow for a 40kWh Cybercab pack,” Musk posted on X. “We will make this in liquid silver, so the colors are not too monotonous.”

A new, more efficient model of the Cybercab will be engineered, which will only help Tesla’s profitability and margins, and it also boosts the argument for why the Cybertruck should be discontinued, at least from a business perspective.

The current Cybercab that operates in the Robotaxi platform in Austin, Texas, has a 48 kWh pack, and it sounds like Musk believes Tesla is on its way to introducing a version that has fewer cells but can manage the same workload thanks to engineering efficiencies.

Credit: Tesla

Musk also doubled down on the decision to prioritize Cybercab production over Cybertruck, which is a decision that has been extremely polarizing within the community, and many fans have made it abundantly clear that they are not particularly pleased with the plans.

“If we have to maintain a complex production line, supply chain, and allocate engineering for Cybertruck, we can’t use those people or factory space and machinery for scaling Cybercab, which is the vehicle that will PROFOUNDLY transform the world of terrestrial transport,” Musk said.

Cybercab is obviously Tesla’s path forward in an automotive sense. It seems that Tesla is less concerned about catering to the passenger vehicle market and is more prone to focus on transforming passenger transportation in a way that prioritizes autonomy. However, this requires some sacrifice on Tesla’s end, and the Cybertruck is unfortunately a victim of this.

Cybercab holds an extremely crucial part of Tesla’s future. With the company already revolutionizing passenger transportation once, this is the next phase, and Cybercab is the path forward.

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Tesla Robotaxi app update now tells riders if Cybercab is the better choice

Tesla’s Robotaxi app now shows ETAs, wait times and availability for Cybercab and Model Y.

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

Tesla has rolled out a new vehicle selection screen in its Robotaxi app, and it puts the numbers riders care about most in front of them before they book.

Version 26.11.0 of the app shows the estimated arrival time, the expected wait and current availability for each vehicle option on a single screen, according to a video shared by @gheeunit  on X on November 7. Riders deciding between a Cybercab and a Model Y Robotaxi can now compare those figures side by side instead of picking a car first and learning how long it will take afterward.

Tesla first gave riders that choice on September 3, the day paid Cybercab rides began in Austin. The original version of the screen listed the Cybercab, which seats two, next to the Model Y, which seats four. A later build, 26.8.2, added a seating capacity indicator so groups knew which car would fit them. What it did not show was whether choosing the Cybercab meant standing on the curb a few extra minutes.

That question matters more now than it did two months ago. Tesla had 45 Cybercabs on the Texas DMV roster when rides started. By late October the state listed 573, alongside 631 Model Ys, and community trackers logged a record 1,576 Cybercab sightings across Austin on Halloween alone. With two large fleets sharing one service area, the closest car and the quickest pickup are not always the same vehicle.

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Inline availability also changes what happens when demand spikes. If no Cybercab is free nearby, the rider sees that on the selection screen rather than after trying to book one.

For now the comparison is mostly an Austin feature. Riders in Dallas, Houston, Fort Worth and the Florida markets are still matched with Model Y vehicles, though Tesla said on its third quarter earnings call that Cybercab rides would launch in Dallas this month.

The update follows a steady run of smaller changes to the rider experience. Late last month Tesla brought a quiet mode that blacks out the cabin screen to Model Y Robotaxis after first testing it in the Cybercab, and it has stretched Austin service to run from 6 a.m. to 2 a.m.

The Cybercab side of that selection screen is about to get much busier. Elon Musk said this week that Tesla will wind down Cybertruck production at Gigafactory Texas around the middle of 2027 to make room for more Cybercab output, and Tesla has said it is aiming to get Cybercabs to customers by the end of this year.

Tesla has not published official release notes for version 26.11.0.

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