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GM buys LIDAR company for self-driving car program to take Tesla head-on
General Motors issued a press release on Monday announcing that it will acquire Strobe, a California-based technology startup that makes affordable chip-scale LIDAR technology for self-driving cars. An 11-person team from Strobe will be joining GM’s Cruise Automation unit as part of the acquisition.
With more affordable and higher accuracy LIDAR sensors coming to market, automakers that are looking to transition to all-electric fleets are assessing the strategic value with investing into self-driving technology. GM’s purchase of Strobe can be seen as just that. Acquiring a small and nimble startup that has a core focus on developing the key sensor used in autonomous vehicles allows the Detroit-based auto giant to speed its path to market with a self-driving car.
Kyle Vogt, GM’s Cruise Automation Founder and CEO, said through a press release, “Strobe’s LIDAR technology will significantly improve the cost and capabilities of our vehicles so that we can more quickly accomplish our mission to deploy driverless vehicles at scale.”
While GM continues to charge forward with implementing LIDAR technology into its self-driving program, the company also complements its technology with radar sensors to create a fault-tolerant sensing suite. Tesla CEO Elon Musk has famously touted LIDAR as ‘unnecessary’ in the context of an autonomous car due to its high cost. Instead, Tesla has opted to use a combination of cameras, radars and ultrasonic sensors to form the foundation for its Autopilot system. But as pricing for LIDAR technology continues to drop, could we see a change of core design in 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
— Elon Musk (@elonmusk) July 15, 2016
Vogt asserts that radar can operate under more challenging weather conditions, however it lacks the precision needed when making critical maneuvers at speed. “Strobe’s LIDAR sensors provide both accurate distance and velocity information, which can be checked against similar information from a RADAR sensor for redundancy. RADARs typically also provide distance and velocity information and operate under more challenging weather conditions, but they lack the angular resolution needed to make certain critical maneuvers at speed. When used together, cameras, LIDARs, and RADARs can complement each other to create a robust and fault-tolerant sensing suite that operates in a wide range of environmental and lighting conditions.” said Vogt in a blog post on Medium.
LIDAR on the other hand uses laser or concentrated light to map a high resolution 3D view of a the world, which arguably provides a higher precision view of a self-driving car’s surroundings. GM’s Director of autonomous vehicle integration has recently spoken up against Musk’s narrative that Tesla Autopilot will be fully autonomous and capable of piloting a car from California to New York on its own by the end of the year.
“The level of technology and knowing what it takes to do the mission, to say you can be a full level five with just cameras and radars is not physically possible,” said Miller about Tesla’s Autopilot suite. “Could you do it with what’s in a current Tesla Model S? I don’t think so.”
As the race to produce a fully autonomous car continues to heat up between Tesla, GM, Uber, and Google, and hardware prices decline, it’s only a matter of time before a tried and true combination of hardware will become the de-facto self-driving hardware suite. What will it be?
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Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Elon Musk says he’s willing to help Apple overhaul Siri by integrating xAI’s Grok 4.1, igniting widespread excitement and speculations about a potential collaboration between the two tech giants.
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Musk open to an Apple collaboration
Musk’s willingness to team up with Apple surfaced after an X user suggested replacing Siri with Grok 4.1 to modernize the AI assistant. The original post criticized Siri’s limitations and urged Apple to adopt a more advanced AI system. “It’s time for Apple to team up with xAI and actually fix Siri. Replace that outdated, painfully dumb assistant with Grok 4.1. Siri deserves to be Superintelligent,” the X user wrote.
Musk quoted the post, responding with, “I’m down.” Musk’s comment quickly attracted a lot of attention among X’s users, many of whom noted that a Grok update to Siri would be appreciated because Apple’s AI assistant has legitimately become terrible in recent years. Others also noted that Grok, together with Apple’s potential integration of Starlink connectivity, would make iPhones even more compelling.
Grok promises major Siri upgrades
The enthusiasm stems largely from Grok 4.1’s technical strengths, which include stronger reasoning and improved creative output. xAI also designed the model to reduce hallucinations, as noted in a Reality Tea report. Supporters believe these improvements could address Apple’s reported challenges developing its own advanced AI systems, giving Siri the upgrade many users have waited years for.
Reactions ranged from humorous to hopeful, with some users joking that Siri would finally “wake up with a personality” if paired with Grok. Siri, after all, was a trailblazer in voice assistants, but it is currently dominated by rivals in terms of features and capabilities. Grok could change that, provided that Apple is willing to collaborate with Elon Musk’s xAI.
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Tesla’s top-rated Supercharger Network becomes Stellantis’ new key EV asset
The rollout begins in North America early next year before expanding to Japan and South Korea in 2027.
Stellantis will adopt Tesla’s North American Charging System (NACS) across select battery-electric vehicles starting in 2026, giving customers access to more than 28,000 Tesla Superchargers across five countries.
The rollout begins in North America early next year before expanding to Japan and South Korea in 2027, significantly boosting public fast-charging access for Jeep, Dodge, and other Stellantis brands. The move marks one of Stellantis’ largest infrastructure expansions to date.
Stellantis unlocks NACS access
Beginning in early 2026, Stellantis BEVs, including models like the Jeep Wagoneer S and Dodge Charger Daytona, will gain access to Tesla’s Supercharger network across North America. The integration will extend to Japan and South Korea in 2027, with the 2026 Jeep Recon and additional next-generation BEVs joining the list as compatibility expands. Stellantis stated that details on adapters and network onboarding for current models will be released closer to launch, as noted in a press release.
The company emphasizes that adopting NACS aligns with a broader strategy to give customers greater freedom of choice when charging, especially as infrastructure availability becomes a deciding factor for EV buyers. With access to thousands of high-speed stations, Stellantis aims to reduce range anxiety and improve long-distance travel convenience across its global portfolio.
Tesla Supercharger network proves its value
Stellantis’ move also comes as Tesla’s Supercharger system continues to earn top rankings for reliability and user experience. In the 2025 Zapmap survey, drawn from nearly 4,000 BEV drivers across the UK, Tesla Superchargers were named the Best Large EV Charging Network for the second year in a row. The study measured reliability, ease of use, and payment experience across the country’s public charging landscape.
Tesla’s UK network now includes 1,115 open Supercharger devices at 97 public locations, representing roughly 54% of its total footprint and marking a 40% increase in public availability since late 2024. Zapmap highlighted the Supercharger network’s consistently lower pricing compared to other rapid and ultra-rapid providers, alongside its strong uptime and streamlined user experience. These performance metrics further reinforce the value of Stellantis’ decision to integrate NACS across major markets.
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Tesla FSD and Robotaxis are making people aware how bad human drivers are
These observations really show that Tesla’s focus on autonomy would result in safer roads for everyone.
Tesla FSD and the Robotaxi network are becoming so good in their self-driving performance, they are starting to highlight just how bad humans really are at driving.
This could be seen in several observations from the electric vehicle community.
Robotaxis are better than Uber, actually
Tesla’s Robotaxi service is only available in Austin and the Bay Area for now, but those who have used the service have generally been appreciative of its capabilities and performance. Some Robotaxi customers have observed that the service is simply so much more affordable than Uber, and its driving is actually really good.
One veteran Tesla owner, @BLKMDL3, recently noted that the Robotaxi service has become better than Uber simply because FSD now drives better than some human drivers. Apart from the fact that Robotaxis allow riders to easily sync their phones to the rear display, the vehicles generally provide a significantly more comfortable ride than their manually-driven counterparts from Uber.
FSD is changing the narrative, one ride at a time
It appears that FSD V14 really is something special. The update has received wide acclaim from users since it was released, and the positive reactions are still coming. This was highlighted in a recent post from Tesla owner Travis Nicolette, who shared a recent experience with FSD. As per the Tesla owner, he was quite surprised as his car was able to accomplish a U-turn in a way that exceeded human drivers.
Yet another example of FSD’s smooth and safe driving was showcased in a recent video, which showed a safety monitor of a Bay Area Robotaxi falling asleep in the driver’s seat. In any other car, a driver falling asleep at the wheel could easily result in a grave accident, but thanks to FSD, both the safety monitor and the passengers remained safe.
These observations, if any, really show that Tesla’s focus on autonomy would result in safer roads for everyone. As per the IIHS, there were 40,901 deaths from motor vehicle crashes in the United States in 2023. The NHTSA also estimated that in 2017, 91,000 police-reported crashes involved drowsy drivers. These crashes led to an estimated 50,000 people injured and 800 deaths. FSD could lower all these tragic statistics by a notable margin.
Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok
Tesla’s top-rated Supercharger Network becomes Stellantis’ new key EV asset
