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How consumers view robotaxis ahead of Tesla’s ‘We, Robot’ event: study
Ahead of Tesla’s Robotaxi unveiling event on Thursday, one firm has released data suggesting that early consumer experience with driverless ride-hailing platforms has generally been positive.
On Tuesday, J.D. Power shared the results of its 2024 U.S. Robotaxi Experience study, which found that, on average, consumers ranked driverless ride-hailing experiences an 8.53 out of 10. In its second year, the study surveyed 3,773 respondents along with 773 consumers who lived in cities such as San Francisco, Los Angeles, Phoenix, Las Vegas, and Dallas, where robotaxi services are already available.
Perhaps unsurprisingly, consumer confidence in robotaxis was about substantially higher in those who had prior experience in one of the self-driving vehicles, landing at 76 percent, and well above the 20 percent for those who had not. Consumer confidence was also improved by public exposure to the technology, with 34 percent of those who had not ridden but had witnessed self-driving vehicles expressing some level of trust and acceptance.
Notably, these results suggest that sheer experience with robotaxi platforms — both riding inside them and seeing them on the street — tends to give consumers greater public trust in these driverless solutions. The results also come as the market for driverless ride-hailing continues to grow, as Tesla and other companies ready their commercial robotaxi offerings.
The study featured five categories, including comfort and convenience, initiating rides, taking rides in the given vehicle, service availability and cost, as well as overall vehicle technology. Responses for the study were fielded in August.
What's special about FSD Supervised is that it works anywhere in the US & Canada.
No high definition maps, no geofence.
This means you can even use it in places that no Tesla has never traveled to before
— Tesla AI (@Tesla_AI) October 4, 2024
The key findings also included that consumers regularly seek out safety features and easy access to authorities, such as the inclusion of an emergency button in robotaxis. Service area coverage and cost remain barriers for some consumers who haven’t tried the services out yet, with the vast majority of companies employing a mapping strategy to certain service areas.
“The robotaxi segment is still anyone’s game, given that most people are not familiar with robotaxi brands and haven’t formed a clear associative imagery,” said Kathleen Rizk, J.D. Power’s Senior Director of User Experience Benchmarking and Technology.
Other key findings include that consumers strongly value how well vehicles navigate traffic laws, and how well they perform when maneuvering regular traffic. In addition, 77 percent of rides said they would prefer a driverless robotaxi to a ride-share with a human driver when needing to have a private conversation.
You can view J.D. Power’s full study results for the 2024 Robotaxi Experience Study on the firm’s website here.
Currently, driverless ride-hailing services and tests are operated by the Google-owned company Waymo, May Mobility, Zoox, and Motional. Meanwhile, General Motors (GM) subsidiary Cruise was forced to halt self-driving operations last fall after an accident with a pedestrian, though it’s currently aiming to relaunch services by the end of this year.
While Tesla offers its Full Self-Driving (FSD) Supervised to customers, it doesn’t currently have the software available to consumers as a driverless ride-hailing system. However, the company is widely expected to unveil a ride-hailing service during its “We, Robot” event on Thursday, and it has already teased a mobile app ride-hailing platform.
The company’s FSD Supervised, eventually expected to become Unsupervised as Tesla targets the cars becoming safer than human drivers, is also one of the only self-driving softwares out there that doesn’t utilize area mapping. For that reason, Tesla has touted its ability to scale FSD beyond mapped-out service areas, especially when paired with the ongoing training of its AI neural network through real-time driving footage.
Apparent camouflaged Tesla Robotaxi prototype sighted at Warner Bros. Burbank
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SpaceX reveals Starship Flight 13 launch date
SpaceX is preparing for the 13th integrated flight test of its Starship system, with a targeted launch as early as Thursday, July 16. The 90-minute launch window opens at 5:45 p.m. CT from Starbase in South Texas.
This comes roughly seven weeks after Flight 12 on May 22, underscoring the company’s accelerating pace in its rapid development campaign. The mission will use the latest Starship and Super Heavy V3 vehicles equipped with Raptor 3 engines. Booster 20 will attempt a controlled boostback burn, followed by a splashdown in the Gulf of Mexico, while Ship 40 will follow a suborbital trajectory.
Starship’s thirteenth flight test is preparing to launch as early as Thursday, July 16 → https://t.co/Rp7VwBzpWx pic.twitter.com/jdpFlQUEpF
— SpaceX (@SpaceX) July 11, 2026
Key objectives for Flight 13 will include demonstrating reliable stage separation, engine performance under various conditions, and controlled reentry.
A major milestone for Flight 13 is the first deployment of 20 next-generation Starlink V3 satellites. These satellites feature advanced laser links for inter-satellite communication, deployable solar arrays, and onboard cameras, six of which will capture imagery of Starship’s heat shield during flight.
Several heat shield tiles on Ship 40 will be painted white to serve as imaging targets, while additional experiments test upgraded tiles on aft flaps, modified attachments on the aft skirt, and load-sensing tiles to measure stresses. The upper stage will also attempt a single Raptor engine relight in space before a targeted splashdown in the Indian Ocean.
These tests build directly on lessons from Flight 12, which introduced the V3 configuration but encountered issues including a booster flip anomaly during boostback and an engine-out event on the ship. Hardware and software modifications on Booster 20 and Ship 40 aim to improve engine relight reliability, startup sequencing, and overall robustness.
Next Starship launch aiming for Thursday https://t.co/SajPPd4pdb
— Elon Musk (@elonmusk) July 12, 2026
The short interval between Flights 12 and 13 highlights SpaceX’s iterative approach. Elon Musk has repeatedly emphasized that Starship launches will become “incredibly common” in the coming years.
The company envisions scaling to rates as high as one launch per hour within 4-5 years, potentially enabling thousands of flights annually. Such cadence is essential for Starship’s goals: establishing orbital refueling for lunar and Mars missions, deploying massive satellite constellations, and making life multiplanetary.
With each flight, Starship edges closer to full reusability and operational maturity. Success on July 16 would mark another step toward routine access to space and the ambitious vision of humanity becoming a spacefaring civilization.
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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont
Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.
The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.
End of an era: Decommissioning the original Model S & X assembly line in just 46 days pic.twitter.com/kGEdfhl62h
— Tesla Manufacturing (@gigafactories) July 10, 2026
The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”
Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.
The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.
This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.
Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.
Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.
Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.
As one era closes at Fremont, another is rapidly taking shape.
Elon Musk
Elon Musk admits he was ‘clearly wrong’ about Anthropic
Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.
In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.
Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.
The tone shifted dramatically from dismissal to acknowledgement of superior performance.
I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon.
And I would never cut them off in a way that hurt them badly, even as a competitor.…
— Elon Musk (@elonmusk) July 9, 2026
The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.
SpaceXAI signs agreement with Anthropic for massive AI supercomputer access
Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”
To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.
Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.
Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.
These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.
Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.