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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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SpaceX posts Starship booster feat that’s so nutty, it doesn’t even look real

The Super Heavy booster’s feat was so impressive that the whole maneuver almost looked like it was AI-generated.

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Credit: SpaceX/X

SpaceX has shared a video of a remarkable feat achieved by Starship’s Super Heavy booster during its 11th flight test.

The Super Heavy booster’s feat was so impressive that the whole maneuver, which was captured on video, almost looked like it was AI-generated.

Super Heavy’s picture perfect hover

As could be seen in the video shared by SpaceX, Starship’s Super Heavy booster, which is nearly 400 feet tall, smoothly returned to Earth and hovered above the Gulf of America for a few seconds before it went for its soft water landing. The booster’s picture-perfect maneuver before splashing down all but capped a near-flawless mission for Starship, which is about to enter its V3 era with Flight 12.

The booster’s balance and stability were so perfect that some users on X joked that the whole thing looked AI-generated. Considering the size of Super Heavy, as well as the fact that the booster was returning from space, the hovering display all but showed that SpaceX is dead serious about keeping its dominant lead in the spaceflight sector.

Starship V2’s curtain call

As noted in a Space.com report, Flight Test 11 achieved every major goal SpaceX had set for the mission, including deploying Starlink mass simulators, relighting Raptor engines in space, and executing a stable reentry for both the Starship Upper Stage and the Super Heavy booster. The feat also marked the second time a Super Heavy booster has been reflown, a milestone in SpaceX’s quest to make the entire Starship system fully reusable.

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Starship’s V2 vehicle will now give way to the upgraded Starship V3, which is designed for faster turnaround and higher payload capacity. The Starship program is expected to pursue even more aggressive targets in the coming months as well, with Elon Musk stating on social media platform X that SpaceX will attempt a tower catch for Starship Upper Stage as early as spring 2026.

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Elon Musk

After moving Tesla to Texas, Elon Musk is back in the Bay Area with Neuralink expansion

The news marks a noticeable step in Musk’s expanding presence in the Bay Area, despite the move of his biggest companies, Tesla and SpaceX, to Texas.

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Credit: Steve Jurvetson/Twitter

Recent reports have indicated that Elon Musk’s brain-implant startup, Neuralink, has leased a five-story, 144,000-square-foot building in South San Francisco. At the same time, Musk’s artificial intelligence startup xAI is reportedly also looking around for a Bay Area office. 

The news marks a noticeable step in Musk’s expanding presence in the Bay Area, despite the move of his biggest companies, Tesla and SpaceX, to Texas.

Neuralink’s Bay Area expansion

As noted in a report from the San Francisco Business Times, the property that Neuralink has leased is located at 499 Forbes Boulevard, and it was built by Aralon Properties before it was leased to cancer test developer InterVenn Biosciences. The site, however, had remained vacant since 2023 after InterVenn canceled its 10-year lease.

xAI, Musk’s artificial intelligence startup, is reportedly scouting for an even larger Bay Area office as well, as noted in a report from the San Francisco Chronicle. Combined, the two ventures could secure nearly 400,000 square feet of local workspace, a move seen as a symbolic return of sorts for Musk-led innovation to Silicon Valley.

Neuralink’s momentum

Founded in 2016, Neuralink develops brain-computer interfaces intended to help paralyzed patients control digital devices through thought. The company received U.S. regulatory approval in 2023 to begin human trials, with its first patient, quadriplegic Noland Arbaugh, making headlines for his stunning ability to control a computer cursor and play games using only his mind. Since receiving his implant, Arbaugh has stated that he now browses the web, plays video games like Mario Kart, studies neuroscience, and operates his smart home without lifting a finger. 

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Nauralink is only just getting started, with Elon Musk noting on X that the company is busy preparing its next product, Blindsight, for human trials. As per Musk, Neuralink is “aiming to restore (limited) sight to the completely blind next year,” an aggressive target for a potentially life-changing device.

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Tesla Cybercab tests seem to be ramping up again

Elon Musk has stated that he expects the company to achieve a run rate of 2 million Cybercabs annually.

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Credit: @serobinsonjr/X

Tesla seems to be ramping the tests of its autonomous two-seater, the Cybercab, once more. This was hinted at in recent drone footage from both the Fremont Factory and Gigafactory Texas.

The fresh sightings of the Cybercab in the Fremont Factory and Giga Texas have renewed conversations about the vehicle potentially being built with manual controls today. 

Fresh Cybercab tests

As noted by longtime drone operator Joe Tegtmeyer on social media platform X, he recently spotted a Cybercab driving on Giga Texas’ South River Road to the West side. Interestingly enough, the longtime Giga Texas watcher noted that this was the first Cybercab that he had seen conducting road tests in a while.

Over in the Fremont Factory, another Cybercab was spotted driving around the facility’s testing area. Similar to the Cybercab in the Giga Texas sighting, the vehicle that was spotted in the Fremont Factory seemed to be manually driven, at least based on the way it was being steered. This behavior has incited speculations among Tesla watchers that current Cybercab test units have manual controls, unlike their production version, which would have no steering wheel or pedals. 

Cybercab production preparation

The sightings of Cybercabs around the Fremont Factory and Giga Texas bode well for the vehicle’s development and impending production. It does, if any, complement reports that Tesla has been busy setting up production equipment for Giga Texas’ Cybercab production line. At the same time, drone footage around the Giga Texas complex has also revealed that Tesla is stockpiling some Cybercab castings, a likely sign that initial test production of the vehicle might soon begin.

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The Cybercab is expected to be Tesla’s highest volume vehicle, with CEO Elon Musk stating that he expects the company to achieve a run rate of 2 million Cybercabs annually. He also mentioned that the Cybercab will be easy to produce thanks to its Unboxed manufacturing process, so much so that its production would resemble a high-speed consumer electronics line instead of an automotive assembly line.

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