Waymo, the self-driving unit from Google parent company Alphabet, is set to expand its autonomous vehicle testing to include select freeways in Arizona.
In a press release on Monday, Waymo announced the plans to begin testing its rider-only ride-hailing trips on freeways across Phoenix, in a phased approach that will start with trips for employees. While the release didn’t state a specific date that these tests will begin, the company says it has been incrementally ramping up its driver-monitored testing on freeways over the last year.
“Waymo will begin testing its fully autonomous passenger cars without a human driver on freeways in Phoenix to soon help Waymo One riders get where they’re going safely and efficiently,” writes the company in the release.
Waymo says that it also has years of testing experience with rider-only vehicle fleets, set to help inform its safety approach to the expansion. In addition, Waymo shared a video of its self-driving system navigating freeways for both a passenger vehicle and a class 8 truck, both of which the company says it has millions of miles of experience testing with a specialist present.
You can see footage from the Waymo video below, in which the system is navigating both a passenger vehicle and a class 8 truck.
Waymo also notes the significant time savings that expanding to freeway routes will offer. This is evidenced in side-by-side images shared in the release of a drive from the Sky Harbor International Airport to Northern Scottsdale, with and without freeways, the former of which cuts the driving time in half.
Credit: Waymo
The autonomous ride-hailing company also says it plans to work closely with public safety officials on best practices, along with teaching them about Waymo’s technology. Waymo also detailed its safety approach in a 2020 blog post, which can be found here.
On its website, the Arizona Department of Transportation (ADOT) outlines the state’s autonomous driving program and lists companies that have submitted to test and operate autonomous vehicles in the state, including Waymo.
“Public safety is our highest priority, and we are in regular communication with and closely monitoring autonomous vehicle companies testing and operating self-driving vehicles in Arizona,” wrote Bill Lamoreaux, ADOT Motor Vehicle Department Assistant Comms Director, in an email to Teslarati.
Lamoreaux also noted that Waymo and other companies must follow all federal traffic laws, regulations and guidelines, as well as Title 28 of the Arizona Revised Statutes and all regulations and policies set forth by ADOT.
Operations from Waymo and other autonomous ride-hailing companies such as Cruise have been scrutinized by regulators in the past. Although Cruise’s state permit to operate driverless vehicles was revoked in California following an accident with a pedestrian, Waymo is still approved to test its vehicles in San Francisco.
Despite the potential safety risks presented by self-driving vehicles, the systems are also expected to improve as they are tested more and more, with the ultimate goal of helping them someday become safer than human drivers.
Tesla is another company testing an early, semi-autonomous driving system with its Full Self-Driving (FSD) beta, which can be operated by users who purchase the add-on. Although Tesla’s FSD beta model doesn’t include ride-hailing, nor does it include fully driverless operations, the company has long touted a future of “robotaxis,” and highway testing has been available on the beta software for years.
Updated 2:44 p.m. MT: Added response from the Arizona Department of Transportation.
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Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
