Waymo, the driverless ride-hailing arm of Google parent company Alphabet, has now launched a new AI research model for its self-driving operations.
In a pair of press releases on its approach to AI and its new end-to-end multimodal model for autonomous driving, dubbed EMMA, Waymo has shared details about its plans for the AI research model going forward. The company says it is still using the EMMA model in research stages, rather than in operational vehicles, and the approach comes as an alternative that looks a lot like Tesla’s Full Self-Driving (FSD) and other end-to-end model approaches.
“EMMA is research that demonstrates the power and relevance of multimodal models for autonomous driving,” said Drago Anguelov, VP and Head of Research at Waymo. “We are excited to continue exploring how multimodal methods and components can contribute towards building an even more generalizable and adaptable driving stack.”
Waymo says the EMMA model uses real-world knowledge based on its Gemini language model, while the end-to-end approach is expected to eventually let autonomous vehicles operate directly from sensor data and real-time driving scenarios. The company has also highlighted its use of Large Language Models (LLMs) and Vision-Language Models (VLMs), calling its architecture the Waymo Foundation Model.
Hear the company’s executive detail the Waymo research and AI program more below.
EMMA research and criticisms
In the announcement press release about EMMA, Waymo lays out the following as key aspects of the research program:
- End-to-End Learning: EMMA processes raw camera inputs and textual data to generate various driving outputs including planner trajectories, perception objects, and road graph elements.
- Unified Language Space: EMMA maximizes Gemini’s world knowledge by representing non-sensor inputs and outputs as natural language text.
- Chain-of-Thought Reasoning: EMMA uses chain-of-thought reasoning to enhance its decision-making process, improving end-to-end planning performance by 6.7% and providing interpretable rationale for its driving decisions.
“The problem we’re trying to solve is how to build autonomous agents that navigate in the real world,” says Srikanth Thirumalai, Waymo VP of Engineering. “This goes far beyond what many AI companies out there are trying to do.”
Still, some have cast doubt on the large-scale end-to-end model, saying that it may be too risky to utilize generative AI models without including significant safeguards.
“It’s bandwagoning around something that sounds impressive but is not a solution,” said Sterling Anderson, Aurora Innovation’s Chief Product Officer, in a statement to Automotive News.
Mobileye CTO Shai Shalev-Shwartz called end-to-end approaches “a huge risk,” especially regarding the verification of decision-making process for vehicles operating on the model. It’s also worth noting that Waymo is currently only researching the approach, and it doesn’t currently have any plans to make it commercially available.
The news comes after Waymo recently closed on a $5.6 billion funding round, effectively bringing the company’s valuation up past $45 billion. The company is also working on its next generation of self-driving vehicles based on the Hyundai Ioniq 5, built at a new factory in Georgia.
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Tesla begins Robotaxi certification push in Arizona: report
Tesla seems serious about expanding its Robotaxi service to several states in the coming months.

Tesla has initiated discussions with Arizona transportation regulators to certify its driverless Robotaxi service in the state, as per a recent report from Bloomberg News. The move follows Tesla’s launch of its Robotaxi pilot program in Austin, Texas, as well as CEO Elon Musk’s recent comments about the service’s expansion in the Bay Area.
The Arizona Department of Transportation confirmed to Bloomberg that Tesla has reached out to begin the certification process for autonomous ride-sharing operations in the state. While details remain limited, the outreach suggests that Tesla is serious about expanding its driverless Robotaxi service to several territories in the coming months.
The Arizona development comes as Tesla prepares to expand its service area in Austin this weekend, as per CEO Elon Musk in a post on X. Musk also stated that Tesla is targeting the San Francisco Bay Area as its next major market, with a potential launch “in a month or two,” pending regulatory approvals.
Tesla first launched its autonomous ride-hailing program on June 22 in Austin with a small fleet of Model Y vehicles, accompanied by a Tesla employee in the passenger seat to monitor safety. While still classified as a test, Musk has said the program will expand to about 1,000 vehicles in the coming months. Tesla will later upgrade its Robotaxi fleet with the Cyercab, a two-seater that is designed without a steering wheel.
Sightings of Cybercab castings around the Giga Texas complex suggests that Tesla may be ramping the initial trial production of the self-driving two-seater. Tesla, for its part, has noted in the past that volume production of the Cybercab is expected to start sometime next year.
In California, Tesla has already applied for a transportation charter-party carrier permit from the state’s Public Utilities Commission. The company is reportedly taking a phased approach to operating in California, with the Robotaxi service starting with pre-arranged rides for employees in vehicles with safety drivers.
News
Tesla sets November 6 date for 2025 Annual Shareholder Meeting
The automaker announced the date on Thursday in a Form 8-K.

Tesla has scheduled its 2025 annual shareholder meeting for November 6, addressing investor concerns that the company was nearing a legal deadline to hold the event.
The automaker announced the date on Thursday in a Form 8-K submitted to the United States Securities and Exchange Commission (SEC). The company also listed a new proposal submission deadline of July 31 for items to be included in the proxy statement.
Tesla’s announcement followed calls from a group of 27 shareholders, including the leaders of large public pension funds, which urged Tesla’s board to formally set the meeting date, as noted in a report from The Wall Street Journal.
The group noted that under Texas law, where Tesla is now incorporated, companies must hold annual meetings within 13 months of the last one if requested by shareholders. Tesla’s previous annual shareholder meeting was held on June 13, 2024, which placed the July 13 deadline in focus.
Tesla originally stated in its 2024 annual report that it would file its proxy statement by the end of April. However, an amended filing on April 30 indicated that the Board of Directors had not yet finalized a meeting date, at least at the time.
The April filing also confirmed that Tesla’s board had formed a special committee to evaluate certain matters related to CEO Elon Musk’s compensation plan. Musk’s CEO performance award remains at the center of a lengthy legal dispute in Delaware, Tesla’s former state of incorporation.
Due to the aftermath of Musk’s legal dispute about his compensation plan in Delaware, he has not been paid for his work at Tesla for several years. Musk, for his part, has noted that he is more concerned about his voting stake in Tesla than his actual salary.
At last year’s annual meeting, TSLA shareholders voted to reapprove Elon Musk’s compensation plan and ratified Tesla’s decision to relocate its legal domicile from Delaware to Texas.
Elon Musk
Grok coming to Tesla vehicles next week “at the latest:” Elon Musk
Grok’s rollout to Tesla vehicles is expected to begin next week at the latest.

Elon Musk announced on Thursday that Grok, the large language model developed by his startup xAI, will soon be available in Tesla vehicles. Grok’s rollout to Tesla vehicles is expected to begin next week at the latest, further deepening the ties between the two Elon Musk-led companies.
Tesla–xAI synergy
Musk confirmed the news on X shortly after livestreaming the release of Grok 4, xAI’s latest large language model. “Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk wrote in a post on social media platform X.
During the livestream, Musk and several members of the xAI team highlighted several upgrades to Grok 4’s voice capabilities and performance metrics, positioning the LLM as competitive with top-tier models from OpenAI and Google.
The in-vehicle integration of Grok marks a new chapter in Tesla’s AI development. While Tesla has long relied on in-house systems for autonomous driving and energy optimization, Grok’s integration would introduce conversational AI directly into its vehicles’ user experience. This integration could potentially improve customer interaction inside Tesla vehicles.
xAI and Tesla’s collaborative footprint
Grok’s upcoming rollout to Tesla vehicles adds to a growing business relationship between Tesla and xAI. Earlier this year, Tesla disclosed that it generated $198.3 million in revenue from commercial, consulting, and support agreements with xAI, as noted in a report from Bloomberg News. A large portion of that amount, however, came from the sale of Megapack energy storage systems to the artificial intelligence startup.
In July 2023, Musk polled X users about whether Tesla should invest $5 billion in xAI. While no formal investment has been made so far, 68% of poll participants voted yes, and Musk has since stated that the idea would be discussed with Tesla’s board.
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