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.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
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Tesla saves its passengers again – This time after a 300-foot cliff fall in Malibu
A Tesla Model 3 fell 300 feet off a Malibu cliff and both passengers survived.
A Tesla Model 3 plunged roughly 300 feet off a cliff on Mulholland Highway in Malibu on Friday morning, May 29, 2026, and both occupants survived. The crash was reported at approximately 7:30 a.m. near the 2500 block of Mulholland Highway, triggering a multi-agency rescue operation involving Malibu Search and Rescue, the Los Angeles County Fire Department, the California Highway Patrol, and McCormick Ambulance.
When first responders arrived, the male driver was outside the vehicle shouting for help while the female passenger remained pinned inside the Tesla. Rescue crews rappelled down the cliffside on ropes to reach the wreckage. A flight medic was lowered by helicopter to begin treating both victims, and the driver was hoisted up to the roadway before crews used the Jaws of Life to free the trapped passenger. Both were airlifted to a local trauma center with moderate injuries despite a remarkable result for a fall that steep.
The outcome is not surprising, considering Model 3 earned an overall 5-star rating from NHTSA in every category and sub-category, and recorded the lowest probability of injury of any car ever evaluated by the U.S. New Car Assessment Program. The absence of a traditional engine in the front of the vehicle creates a longer crumple zone that absorbs impact energy before it reaches occupants, and the battery pack running along the floor gives the car an unusually low center of gravity that reinforces structural rigidity.
This is not the first time a Tesla has kept passengers alive after going off a cliff. A Tesla Model Y carrying a family of four survived a plunge off a cliff at Devil’s Slide near San Francisco in January 2023, with two adults and two children walking away from a 250-foot fall. That incident drew widespread attention to how the structural integrity of Tesla’s electric platform performs in extreme crash scenarios that most vehicles would not survive.
Tesla Model Y driver who drove off cliff with family attempts to avoid criminal conviction
Tesla Full Self-Driving (Supervised) has taken yet another significant step forward in Europe. On May 29, Estonia became the third European Union country to approve the advanced driver-assistance technology, following approvals in the Netherlands and Lithuania.
Tesla Europe announced the news on X, confirming the expansion has continued across the continent that, at one time, seemed to be taking its sweet old time giving any approval to the FSD suite.
FSD Supervised now approved in Estonia🇪🇪. Rollout will begin soon pic.twitter.com/y5a64qlp5m
— Tesla Europe, Middle East & Africa (@teslaeurope) May 29, 2026
Estonia’s Transport Administration (Transpordiamet) granted the approval by recognizing the type certification issued by the Dutch vehicle authority RDW. This mutual recognition mechanism, enabled by EU regulations, allows other member states to fast-track deployment without repeating extensive local testing.
The Estonian authority noted that Tesla’s FSD had undergone rigorous evaluation on European roads for approximately 18 months before the initial Dutch approval in April 2026.
FSD Supervised remains classified as a Level 2 advanced driver-assistance system (ADAS). Drivers must maintain full attention, keep their hands on the wheel, and stay ready to intervene at any moment.
The system assists with tasks such as automatic lane changes, navigation through city streets, and responding to traffic objects, but it does not constitute full autonomy. Estonian officials emphasized this distinction, underscoring that safety responsibility lies entirely with the driver.
The rapid progression across the Baltic region highlights Tesla’s strategic approach to European expansion. The Netherlands provided the foundational type approval in April, unlocking doors for neighboring countries.
Lithuania followed swiftly in mid-May, with rollout beginning shortly thereafter. Estonia’s decision, coming just days later, demonstrates how smaller, digitally progressive nations are accelerating adoption.
Tesla owners in Estonia can expect an over-the-air software update in the coming weeks, bringing the latest FSD capabilities to compatible vehicles
This expansion builds on Tesla’s global momentum. FSD Supervised is now available in 11 countries worldwide, including the United States, Canada, Australia, and South Korea. In Europe, the approvals signal growing regulatory confidence in Tesla’s vision-based AI approach, which relies on cameras and neural networks rather than lidar or radar-heavy alternatives used by some competitors.
For Tesla, these European milestones are more than symbolic. They validate years of data collection and software iteration while opening new revenue streams through FSD subscriptions and purchases.
As the company continues refining its AI models with real-world miles from diverse driving environments, including Estonia’s variable winter conditions, the dataset grows richer, potentially benefiting global users.
Elon Musk has firmly denied recent media reports suggesting that SpaceX has reduced its target valuation for an upcoming initial public offering.
The denial came directly from the SpaceX and Tesla frontman on his social media platform X, where he responded with a single word, “False,” to a post from ZeroHedge that cited Bloomberg sources.
This swift rebuttal underscores Musk’s ongoing effort to manage speculation surrounding one of the most anticipated market debuts in recent history.
False
— Elon Musk (@elonmusk) May 29, 2026
According to the disputed reports, SpaceX had lowered its IPO valuation goal to at least $1.8 trillion from previous ambitions exceeding $2 trillion.
The claims emerged amid growing anticipation for the company’s confidential S-1 filing, which positions it for a potential public listing as early as June.
Some had pointed to strong revenue growth, particularly from the Starlink satellite internet service, which contributed heavily to the firm’s 2025 figures of $18.7 billion. Yet challenges persist in other areas, including substantial investments and losses tied to ambitious projects like Starship development and artificial intelligence initiatives, which plan to make life multiplanetary eventually.
Musk’s response highlights a pattern in which he actively counters what he views as inaccurate portrayals of his companies’ trajectories.
SpaceX, already valued privately at extraordinary levels, stands as a cornerstone of Musk’s empire alongside Tesla and xAI. The entrepreneur has long emphasized the transformative potential of reusable rockets and global broadband access, factors that fuel investor enthusiasm despite operational hurdles.
By rejecting the valuation downgrade narrative, Musk signals confidence in SpaceX’s fundamentals and its readiness for public markets on terms favorable to its long-term vision. People have been waiting a very long time to invest in SpaceX, and the valuation, as well as the introductory share price, is not going to need adjusting.
They’ll have plenty of suitors.
This episode reflects broader dynamics in the technology sector, where rumors often swirl around high-profile entities. Musk’s direct engagement with media narratives serves to maintain transparency and control the narrative around his ventures.
As SpaceX prepares for greater scrutiny in public markets, the founder’s denial reinforces optimism about its prospects. Supporters argue that the company’s innovative edge positions it for enduring success, far beyond short-term valuation debates. With the denial now public, attention turns to forthcoming regulatory filings that could provide clearer insights into SpaceX’s strategy and financial health.
The coming weeks promise to reveal more about how SpaceX will transition into a publicly traded powerhouse.
Tesla saves its passengers again – This time after a 300-foot cliff fall in Malibu
Tesla Full Self-Driving expansion in Europe continues with new addition
