Toyota Motor Corporation will acquire Lyft’s self-driving unit, an announcement confirmed yesterday. The cost of the deal is $550 million, and Toyota’s new Woven Planet division that will handle the Japanese company’s automation ambitions.
Lyft will receive $200 million in cash from Toyota upfront, and the remaining $350 million of the deal will be paid over the next five years. “The transaction is also expected to remove $100 million of annualized non-GAAP operating expenses on a net basis – primarily from reduced R&D spend – which will accelerate Lyft’s path to Adjusted EBITDA profitability,” Lyft said in a press release.
Toyota will not only acquire the self-driving unit, but the deal will also provide the automaker with Lyft’s 300 employees.
“Not only will this transaction allow Lyft to focus on advancing our leading Autonomous platform and transportation network, this partnership will help pull in our profitability timeline,” John Zimmer, Co-Founder and President of Lyft said. “Assuming the transaction closes within the expected timeframe and the COVID recovery continues, we are confident that we can achieve Adjusted EBITDA profitability in the third quarter of this year.”
Woven Planet Chief Executive James Kuffner told reporters on Tuesday, “This is the first step of establishing and bringing together the people. Obviously, building technology and product requires people, and that’s much what this acquisition is about.” Kuffner is likely referencing to the presence in Silicon Valley and London that Woven Planet will now have because of the acquisition. The partnership and could alleviate the issues that come with the acquisition of a new company.
Lyft’s advantages in the acquisition allow it to take a profit away from the development of self-driving technologies. Lyft hasn’t released its self-driving tech, which is aimed toward complete automation, known as Level 5 autonomy, but it can give the rest of the tasks to Toyota while walking away with a hefty profit.
Meanwhile, Toyota gains more experience and expertise in the self-driving sector through the acquisition. Toyota has Level 2 automation with advanced driver assistance tech. Level 2 describes “Partial Driving Automation” through Advanced Driver Assistance Systems. “The vehicle can perform steering and acceleration. The human still monitors all tasks and can take control at any time,” according to Synopsys‘ breakdown of automation levels.
Kuffner says that Woven Planet will continue investing and growing its team but did not give any further details about acquisition plans or a timeline that would describe possible moves in the future. According to Reuters‘ coverage of the acquisition, Toyota will “likely make more deals, even if they do not ultimately lead to self-driving vehicles to ‘actively gather software and people who have knowledge.’” This is according to Seiji Sugiura, a Senior Analyst at Tokai Tokyo Research Institute.
The transaction is expected to close in Q3 2021 and will be subjected to required regulatory approvals and other closing conditions.
Tesla is set to improve a critical feature that has not been present in older vehicles with a new update.
Tesla vehicles feature a comprehensive suite of driver assistance features, some of which aid in driving itself, while others support the vehicle’s surroundings.
One of those features is that of Driver Visualization, and with the rollout of a new update, owners of Intel-based Tesla vehicles are receiving an upgrade that will come with a simple software update.
Tesla plans to use Unreal Engine for driver visualization with crazy upgrade
The update will provide new visualizations while Intel-based vehicles are in reverse, a feature that was not previously available, but will be with Software Update 2025.32.2.
The improvement was spotted by Not a Tesla App via TheBeatYT_evil:
Noticed something new in 2025.32.2 on my Intel MCU + USS car with FSD.
When shifting into reverse, the full FSD visualization now stays on instead of switching to the old plain autopilot visuals.
Might be small, but it makes backing up feel more seamless. pic.twitter.com/o44levkdtM
— Beat (@TheBeatYT_evil) September 5, 2025
Previously, vehicles Tesla built were equipped with Intel-based processors, but newer cars feature the AMD chip, which is capable of rendering these visualizations as they happen. They were capable of visualizations when driving forward, but not in reverse, which is what this change resolves.
It is a good sign for those with Intel-based vehicles, as Tesla seems to be paying attention to what those cars are not capable of and improving them.
This was an undocumented improvement associated with this particular update, so you will not find any mention of it in the release notes that Tesla distributes with each update.
News
Tesla looks to make a big splash with Robotaxi in a new market
Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.
Tesla is looking to make a big splash with Robotaxi in a new market, as the company was spotted testing validation vehicles in one region where it has not yet launched its ride-hailing service.
After launching Robotaxi in Austin in late June, Tesla followed up with a relatively quick expansion to the Bay Area of California. Both service areas are operating with a geofence that is expansive: In Texas, it is 173 square miles, while in the Bay Area, it is roughly 400 square miles.
Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.
There have been plenty of reports out there that have speculated as to where Tesla would land next to test Robotaxi, and Nevada, Florida, Arizona, and New York have all been in the realm of possibility. These regions will need to approve Tesla for regulatory purposes before Robotaxi can officially operate.
Tesla is still testing and performing validation in several regions, and in Tempe, Arizona, things are moving forward as a Model Y with a LiDAR rig was spotted performing ground truth for the platform:
🚨 BREAKING: Just caught Tesla Robotaxi test vehicles cruising in Tempe, AZ! Rollout coming soon! pic.twitter.com/Oanw0Zx5pP
— Adub08 (@adub0808) September 10, 2025
With the LiDAR unit, many followers of the self-driving and autonomy space might wonder why Tesla uses these apparatuses during validation, especially considering the company’s stance and vision-based approach.
LiDAR is used for “ground truth,” which is basically a solidification or confirmation of what the cameras on the car are seeing. It is a great way to essentially confirm the accuracy of the vision-based suite, and will not be used on Robotaxi units used within the ride-hailing suite.
The Robotaxi platform was made available to the public earlier this month, as Tesla launched its app for iOS users.
Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs
Downloading the app allows you to join a waitlist, giving you the opportunity to utilize and test the Robotaxi platform in either Austin or the Bay Area.
News
Tesla hacker finds lifesaving FSD suggestions in 2025.32.3
The feature could drastically reduce instances of drivers operating their vehicles while distracted or exhausted.
A Tesla hacker has shared references to what could very well be lifesaving FSD suggestions in software update 2025.32.3.
The feature could drastically reduce instances of drivers operating their vehicles while distracted or exhausted.
New FSD features
As per longtime Tesla hacker @greentheonly, the EV maker’s drowsiness and lane departure suggestions in 2025.32.3 reference FSD. The hacker shared two alerts that specifically suggest the use of FSD, such as “Lane drift detected. Let FSD assist so you can stay focused,” and “Drowsiness detected. Stay focused with FSD.”
The hacker noted that the updated messages in 2025.32.3 are quite interesting because Tesla still advises drivers to be fully alert when using FSD Supervised. Thus, it is quite interesting to see the company advising users to use FSD when they seem unfocused or tired. That being said, FSD is still a supervised solution for now, but the system itself is already very capable, so the company’s updated alerts are not surprising.
Steps to FSD Unsupervised
Such warning messages would definitely make more sense once Tesla actually rolls out FSD Unsupervised. The system seems to be just waiting for regulatory approval for now, considering that it is already being used in vehicles that are coming off the production line at the Fremont Factory and Giga Texas. Tesla is also now using a driverless system for its Robotaxi services in Austin, as well as its autonomous ride-hailing service in the Bay Area.
For now, Tesla is hard at work preparing for the impending rollout of FSD V14, which Elon Musk has stated will be a notable improvement from the already-impressive performance of FSD V13. As per Musk, Teslas running FSD V14 will feel “sentient.” He also noted that the system “feels alive.”
Tesla is improving this critical feature in older vehicles
Tesla looks to make a big splash with Robotaxi in a new market
Tesla hacker finds lifesaving FSD suggestions in 2025.32.3
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