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Waymo hires former Tesla Executive  Waymo hires former Tesla Executive 

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Waymo launches its AI research model for self-driving operations

Credit: Waymo

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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.

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EMMA research and criticisms

In the announcement press release about EMMA, Waymo lays out the following as key aspects of the research program:

  1. 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.
  2. Unified Language Space: EMMA maximizes Gemini’s world knowledge by representing non-sensor inputs and outputs as natural language text.
  3. 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.

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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.

Waymo hires former Tesla Executive 

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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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla’s Supercharger Diner probably just secured more locations

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tesla diner
Credit: Tesla

Tesla’s Supercharger Diner in Los Angeles dominated the company’s global usage rankings after just one year, proving the concept is more than just a one-off novelty location that will fade away.

The performance could incite the company to build more locations, something that CEO Elon Musk has hinted at for some time.

Tesla’s Supercharger Diner delivered 21.2 GWh of energy in its first year of operation, the company’s head of Charging, Max de Zegher, revealed on X. Of the top 10 most utilized Supercharger locations in Tesla’s global infrastructure, the Diner in Los Angeles was the most used by drivers, and it wasn’t particularly close:

On its launch day one year ago, nobody was too sure what the Tesla Diner would be about. It seemed like an interesting concept, and considering it had been in the works for years, it was a highly anticipated launch that many were looking forward to.

Based on its success, we could see additional Diners with Superchargers built throughout the United States, and potentially beyond. Musk has said on several occasions that the company would be willing to bring the Diner idea to more markets.

Tesla makes major change at Supercharger Diner amid epic demand

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Of the markets that Musk has mentioned, both Palo Alto and Austin have come to be perceived as ideal selections. However, there are no concrete plans as of now to build new Supercharger Diners anywhere; the location on Santa Monica Boulevard will remain the exclusive spot to pick up Tesla-inspired eats, at least for the time being.

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Investor's Corner

Tesla short sellers win big after shares fall after earnings

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A red Tesla Roadster driving around a turn
(Credit: Tesla)

Tesla short sellers won big following the company’s massive fall on Wall Street after it reported subpar Earnings on Wednesday.

Tesla short sellers collected about $4.12 billion in single-day profits on Thursday, according to BloombergShares fell as much as 15 percent during Thursday’s session. It closed as one of the worst days for Tesla on Wall Street in the past three years.

Investors sold off the stock after Tesla said it would aggressively direct its spending toward AI and its Optimus robot project. The company had record revenues, which were driven by one of the strongest quarters in terms of vehicle deliveries in company history.

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However, it missed EPS estimates by reporting just $0.33, a far cry from the $0.53 analysts expected.

S3 Partners reported that about 3 percent of Tesla’s outstanding stock is sold short. Managing Director at S3, Ihor Dusaniwsky, provided the short seller’s potential profit, as well as another figure: shorts have likely had paper gains of $8.92 billion this year, as Tesla shares are down 30 percent in 2026.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Tesla has burned short sellers many times in the past, but the company’s latest Earnings Call was a chance for those skeptics to taste some payback. Although the company gave some very transparent information regarding future projects, the rollout of Robotaxi, Optimus, and Semi, many investors took their profits on Thursday.

Notable short sellers like Michael Burry have been transparent about their skepticism around Tesla shares. Burry just revealed three weeks ago that he had opened up a new short on the stock, stating he shorted Tesla shares at $416.22. “Happy it jumped back to this level,” he said in a blog post.

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At the time of publication, Tesla shares were down about 3 percent and the stock was trading at $309.92.

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Tesla door handle saga gets its latest chapter and a big change is coming

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Credit: Tesla | Model 3 Owner's Manual

Tesla’s long-standing saga regarding its door handles and a manual release has entered its latest chapter, and as a result, a big change is coming.

On Friday, the National Highway Traffic Safety Administration (NHTSA) denied Tesla’s petition that was seeking a defect investigation into roughly 180,000 Model 3 vehicles for an issue involving the emergency mechanical door release.

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NHTSA said that Tesla’s petition did not present evidence of a safety-related defect in the door handles or their emergency releases. Instead, the agency determined that it would rather solve the issue of the lack of labeling or location of emergency mechanical door releases and the federal safety rules that govern them.

Essentially, the NHTSA wants to create and enforce rules that would require automakers to make emergency door latch releases more clearly labeled in a car. Despite a Tesla having manual door releases on all four passenger doors, many people do not know they exist or how they work.

Tesla addresses door handle complaints with simple engineering fix

In recent times, Tesla has faced some criticism involving its door handles, specifically because some occupants have reported that they are unable to exit their vehicles after losing power. The door handles on a Tesla are electronically operated, but in the event that the 12V battery dies, there is a manual release that can be used.

The NHTSA only identified a single complaint involving the mechanical door releases: a 2022 Model 3 owner said the release was concealed and unlabeled after the vehicle lost power after a front-end collision. It has also already started to create a separate rulemaking process to make emergency door-egress systems more obvious.

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It should be noted that all Teslas have mechanical emergency door releases, but they are placed in various locations as the vehicles have aged and been redesigned from year to year. Refer to the safety manual for your vehicle if you have any confusion about where the emergency releases are and how they work.

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