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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News
Tesla arson suspect pleads guilty, faces up to 70 years in prison
The update was announced by the U.S. Attorney’s Office for the District of Nevada.
A Las Vegas man has pleaded guilty to federal arson charges tied to a March 2025 attack on a Tesla Collision Center in Nevada.
The update was announced by the U.S. Attorney’s Office for the District of Nevada.
According to court documents, on March 18, 2025, Paul Hyon Kim spray-painted the word “RESIST” on the front entrance of the Tesla Collision Center before damaging the facility and multiple vehicles.
Federal prosecutors stated that Kim used a PA-15 multi-caliber firearm equipped with a .300 BLACKOUT upper receiver and a 7.62mm silencer to shoot out surveillance cameras. He then fired multiple rounds into Tesla vehicles on the property.
Authorities stated that Kim later threw three Molotov cocktails into three separate Tesla vehicles. Two of the devices exploded and ignited the vehicles, while a third did not detonate. In total, five Tesla vehicles were damaged in the incident.
Kim pleaded guilty to two counts of arson of property used in interstate commerce, one count of attempted arson of property used in interstate commerce, and one count of unlawful possession of an unregistered firearm classified as a destructive device.
The mandatory minimum sentence for the charges is five years in federal prison, though the total maximum statutory penalty is 70 years, as per a release from the United States Attorney’s Office of the District of Nevada.
Sentencing is scheduled for May 27, 2026, before U.S. District Judge Jennifer A. Dorsey. A federal judge will determine the final sentence after considering the U.S. Sentencing Guidelines and other statutory factors.
The case was investigated by the FBI, the Bureau of Alcohol, Tobacco, Firearms and Explosives, and the Las Vegas Metropolitan Police Department, with assistance from the Clark County Fire Department.
Elon Musk
SpaceX pursues 5G-level connectivity with Starlink Mobile V2 expansion
SpaceX noted that the upcoming Starlink V2 satellites will deliver up to 100 times the data density of the current first-generation system.
SpaceX has previewed a major upgrade to Starlink Mobile, outlining next-generation satellites that aim to deliver significantly higher capacity and full 5G-level connectivity directly to mobile phones.
The update comes as Starlink rebrands its Direct-to-Cell service to Starlink Mobile, positioning the platform as a scalable satellite-to-mobile solution that’s integrated with global telecom partners.
SpaceX noted that the upcoming Starlink V2 satellites will deliver up to 100 times the data density of the current first-generation system. The company also noted that the new V2 satellites are designed to provide significantly higher throughput capability compared to its current iteration.
“The next generation of Starlink Mobile satellites – V2 – will deliver full cellular coverage to places never thought possible via the highest performing satellite-to-mobile network ever built.
“Driven by custom SpaceX-designed silicon and phased array antennas, the satellites will support thousands of spatial beams and higher bandwidth capability, enabling around 20x the throughput capability as compared to a first-generation satellite,” SpaceX wrote in its official Starlink Mobile page.
Thanks to the higher bandwidth of Starlink Mobile, users should be able to stream, browse the internet, use high-speed apps, and enjoy voice services comparable to terrestrial cellular networks.
In most environments, Starlink says the upgraded system will enable full 5G cellular connectivity with a user experience similar to existing ground-based networks.
The satellites function as “cell towers in space,” using advanced phased-array antennas and laser interlinks to integrate with terrestrial infrastructure in a roaming-like architecture.
“Starlink Mobile works with existing LTE phones wherever you can see the sky. The satellites have an antenna that acts like a cellphone tower in space, the most advanced phased array antennas in the world that connect seamlessly over lasers to any point in the globe, allowing network integration similar to a standard roaming partner,” SpaceX wrote.
Starlink Mobile currently operates with approximately 650 satellites in low-Earth orbit and is active across more than 32 countries, representing over 1.7 billion people through partnerships with mobile network operators. Starlink Mobile’s current partnerships span North America, Europe, Asia, Africa, and Oceania, allowing reciprocal access across participating nations.
News
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla’s Full Self-Driving (Supervised) system has now surpassed 8.4 billion cumulative miles.
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.
The milestone also brings Tesla closer to a benchmark previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the “long tail” of rare but complex driving situations that must be learned through experience.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable.
As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
With the fleet now past 8.4 billion cumulative miles, Tesla’s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.
Tesla arson suspect pleads guilty, faces up to 70 years in prison
SpaceX pursues 5G-level connectivity with Starlink Mobile V2 expansion
