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Tesla's new data pipeline and deep learning patent paves way for quicker autonomous driving improvements
Tesla’s Neural Net continues to improve and become more advanced on a daily basis, but it appears that the electric car maker is making sure that it will evolve at an even faster rate in the future. A recent patent, for example, would allow Tesla’s autonomous driving systems to work more efficiently, thanks to a new data pipeline focused on optimized image processing.
Tesla’s patent for “Data Pipeline and Deep Learning System for Autonomous Driving” was published on December 26. The idea behind the patent is to revolutionize and improve upon past deep learning systems that have been used for autonomous driving vehicles. In the past, these systems have used “captured sensor data” to retrieve information.
Tesla recognizes the need for new sensors when data becomes more complex. According to the electric car maker’s patent, there is “a need for a customized data pipeline that can maximize the signal information from the captured sensor data and provide a higher level of signal information to the deep learning network for deep learning analysis.”

The system described in this patent would capture an image using any of the sensors or cameras on the vehicle. In this case, this would describe a high dynamic range camera, camera sensor, radar sensor, or ultrasonic sensor. The image would then be broken down through a “high-pass” or ‘lo-pass” filter and a series of processors would then decipher what the image means.
The flowchart below describes what the process of the vehicle learning the information would look like. “Receive Sensor Data” is the first portion of this process. Then, data will be broken down and pre-processed for the system to then begin its “Deep Learning Analysis.” The results will then be passed along to the vehicle’s Artificial Intelligence Processor to be utilized during vehicle control.

In another process, the series of information that is retrieved from these images will be compared to data compiled from other Tesla users on a global scale. This will alleviate concerns that drivers may have that the system could perform the wrong process when driving autonomously. The aim of the patent is to create a safe driving experience and improve upon the already solid performance of Tesla’s autonomous driving software, and do so in a process that is more efficient than before.
By using this process, Tesla is able to maintain as much resolution as possible from the images captured by its vehicles’ cameras and sensors. This then allows the Neural Network to more efficiently learn from the data packets that it is receiving. This allows the Neural Network to work with better images in a more efficient manner as well, which opens the doors to faster autonomous driving improvements. These efficiencies would work very well with the additional horsepower offered by Tesla’s Hardware 3 computer, which is specifically designed for full self-driving with built-in redundancies.
Building upon the foundation that Tesla has already laid down in terms of its Full Self Driving suite, the recent patent suggests that the company is now attempting to narrow down on the finer points of its software’s performance. The addition of this patent will not only create a safer driving experience for owners of Tesla vehicles but will bring the quickly approaching future of fully-autonomous vehicles even closer to completion.
The full text of Tesla’s new data pipeline and deep learning patent could be viewed here.
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Luminar-Volvo breakdown deepens as lidar maker warns of potential bankruptcy
The automaker stated that Luminar failed to meet contractual obligations.
Luminar’s largest customer, Volvo, has canceled a key five-year contract as the lidar supplier warned investors that it might be forced to file for bankruptcy. The automaker stated that Luminar failed to meet contractual obligations, escalating a dispute already unfolding as Luminar defaults on loans, undergoes layoffs, and works to sell portions of the business.
Volvo pulls back on Luminar
In a statement to TechCrunch, Volvo stated that Luminar’s failure to deliver its contractual obligations was a key driver of the cancellation of the contract. “Volvo Cars has made this decision to limit the company’s supply chain risk exposure and it is a direct result of Luminar’s failure to meet its contractual obligations to Volvo Cars,” Volvo noted in a statement.
The rift marked a notable turn for the two companies, whose relationship dates back several years. Volvo invested in Luminar early and helped push its sensors into production programs, while Luminar’s technology bolstered the credibility of Volvo’s safety-focused autonomous driving plans. Volvo’s partnership also supported Luminar’s 2020 SPAC listing, which briefly made founder Austin Russell one of the youngest self-made billionaires in the industry.
Damaged Volvo relations
The damaged Volvo partnership comes during a critical period for Luminar. The company has defaulted on several loans and warned investors that bankruptcy remains a possibility if restructuring discussions fall through. To conserve cash, Luminar has cut 25% of its workforce and is exploring strategic alternatives, including partial or full asset sales.
One potential buyer is founder Austin Russell, who resigned as CEO in May amid a board-initiated ethics inquiry. The company is also the subject of an ongoing SEC investigation.
Luminar, for its part, also noted in a filing that it had “made a claim against Volvo for significant damages” and “suspended further commitments of Iris” for the carmaker. “The Company is in discussions with Volvo concerning the dispute; however, there can be no assurance that the dispute will be resolved favorably or at all,” the lidar maker stated.
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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.