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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.

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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:

  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.

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“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.

Waymo hires former Tesla Executive 

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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 Model 3’s cheapest trim just got a major accolade

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(Credit: Tesla)

The Tesla Model 3’s cheapest trim level just got a major accolade, as Edmunds just revealed the Rear-Wheel-Drive trim of the all-electric sedan is the most efficient EV that is currently in production.

The 2026 Tesla Model 3 Rear-Wheel-Drive not only beat its EPA-estimated range by 30 miles, but it also bested its efficiency mark by 13.2 percent. The Model 3 tested by Edmunds traveled 393 miles, beating its EPA rating by 8.3 percent, while it returned 21.7 kWh per 100 miles, or 4.61 mi/kWh.

Tesla Model 3 wins Edmunds’ Best EV of 2026 award

Beating those two metrics is especially pertinent when it comes to EV ownership and driving down the cost of ownership from ICE counterparts across the board. The real money savings come from driving down the cost of driving per mile, especially when it comes to high-mileage driving.

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Edmunds stated in its report and review that the process it uses to test EV efficiency is aimed at giving “the most accurate representation of a car’s real-world range.” The assessment uses a strict route that features 60 percent city and 40 percent highway driving, and an average speed of 40 MPH across the trip.

It also drives each car within 5 MPH of all posted speed limits, and the climate control is set on Auto at 72 degrees to ensure even testing. In other words, Edmunds does not use methods to maximize efficiency, and instead tries to make it reasonable to achieve the same ratings yourself.

In comparison to other EVs, it beat the 2026 Mercedes-Benz CLA 350, which went 385 miles, as well as the 2026 Audi A6 Sportback E-tron Prestige AWD, which traveled 392 miles. Only the Mercedes-Benz CLA 250+ traveled farther, making it an impressive 434 miles on a charge.

However, the Tesla Model 3 RWD’s efficiency is “unmatched” because of its incredibly low energy usage per mile.

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The Model 3 Rear-Wheel-Drive might be the best bang-for-your-buck EV if you’re looking to buy new and want access to features like Full Self-Driving, while also being aware of efficiency. This trim of the Model 3 is also priced over $9,000 cheaper than what Kelley Blue Book says the average transactional price for a new car was in May 2026, which sits at $46,023.

If you’re looking for something with more speed, an All-Wheel-Drive drivetrain, or more premium features, the Premium trims of the Model 3 currently come with one year of Free Supercharging.

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Investor's Corner

SpaceX IPO set to provide massive $11.6B windfall for teacher pension plan

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SpaceX Starship V3 from Starbase, Texas on April 14, 2026

The Ontario Teachers’ Pension Plan (OTPP) stands to reap one of the most extraordinary returns in pension fund history thanks to a bold 2019 investment in SpaceX.

According to a recent report from The Globe and Mail, the Toronto-based fund invested roughly $300 million CAD (~$220 million USD at the time) in Elon Musk’s space company as its inaugural deal through the Teachers’ Innovation Platform.

At SpaceX’s anticipated $1.75 trillion IPO valuation, set for a mid-June debut on Nasdaq under ticker $SPCX, that stake could now be worth up to $11.6 billion USD. This would represent a roughly 50x return and easily become OTPP’s most successful single investment ever.

The fund manages $279 billion in assets for approximately 346,000 working and retired teachers in Ontario, potentially delivering an average boost of around $33,500 per member if fully realized.

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SpaceX has filed its S-1 and plans to price shares at $135 each, aiming to raise a record $75 billion in what would be the largest IPO in history, surpassing Saudi Aramco. The company reported $18.67 billion in revenue for 2025, driven primarily by Starlink satellite internet growth and NASA contracts, though it continues to post significant losses tied to ambitious R&D in Starship and AI initiatives.

Important pieces moving forward include:

  • Starlink Expansion: The satellite broadband service is scaling rapidly, targeting global connectivity, especially in underserved rural and remote areas. This segment offers massive recurring revenue potential as numbers climb.
  • Starship and Reusability Leadership: SpaceX’s fully reusable Starship aims to slash launch costs dramatically, enabling frequent missions, Mars ambitions, and lucrative government/defense contracts. Success here could unlock exponential growth.
  • AI and Diversification: Recent moves, including ties to xAI, position SpaceX in high-growth AI infrastructure, broadening beyond traditional aerospace.
  • Validation Scrutiny: While the $1.75 trillion target excites investors, analysts like Morningstar value the company closer to $780 billion, citing high multiples (around 90x trailing revenue) and execution risks. A 180-day lockup period will prevent early investors like OTPP from selling immediately post-IPO.

The irony has not been lost on observers. Ontario’s government previously canceled a Starlink rural internet contract amid political tensions involving Musk, yet the pension fund’s savvy investment, made when SpaceX was valued around $33-36 billion, and Starlink was nascent, delivers outsized gains independent of politics.

For OTPP, this windfall strengthens its already solid 111 percent funding ratio and underscores the value of patient, innovation-focused capital allocation.

For SpaceX, the IPO marks a new chapter: greater transparency, access to public markets for talent retention and growth capital, and heightened pressure to deliver on its multi-planetary vision.

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SpaceXAI just launched into your kitchen with their new app

All eyes are fixed on whether SpaceX can justify its lofty valuation through sustained execution. For Ontario teachers, the returns are already stellar, but SpaceX, like other Musk companies in the past, has plenty of things to prove. Perhaps the most ideal person for the job is at the helm, hoping to bring the company to a massive valuation.

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Tesla skeptics will hate what this new reliability study says

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Credit: Tesla

In a notable shift for electric vehicle perceptions, Tesla has emerged as a standout performer in the latest iSeeCars longevity study, which analyzed over 174 million used vehicles.

The data reveals that Tesla models have a 4.6 percent chance of reaching 250,000 miles, matching the industry average of 4.8 percent and tying for sixth place among 32 brands. This positions Tesla ahead of many established names, including Subaru (2.3 percent, roughly half of Tesla’s rate), Nissan (2.4 percent), Mazda, BMW, Mercedes-Benz, and Porsche.

Toyota leads with an impressive 17.8 percent likelihood, followed by Lexus (12.8 percent), Honda, and Acura. Yet Tesla’s result stands out for a relatively young EV brand. Experts attribute this to the inherent simplicity of electric powertrains: fewer moving parts mean no oil changes, timing belts, or complex engine components that typically fail in internal combustion vehicles.

Fewer things to maintain means fewer things to break, and ultimately, fewer things to go wrong.

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This design advantage helps Teslas defy unfounded skepticism about battery longevity and overall durability, two things that have plagued the company from outsider perspectives without much proof.

The iSeeCars reliability ratings further bolster Tesla’s case. The Tesla Model S earns a strong 7.9/10 reliability score, ranking No. 1 out of 35 most reliable electric cars. It boasts a predicted average lifespan of about 154,419 miles (around 16.9 years) and a 21.9 percent chance of hitting 200,000 miles.

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Tesla, as an electric car brand, also scores 7.9/10 overall, securing the top spot among electric vehicle manufacturers in several luxury and segment categories.

Real-world examples reinforce the data. High-mileage Teslas, including Model S vehicles exceeding one million miles, demonstrate that EVs can endure when properly maintained. Owners report minimal mechanical issues beyond typical wear items like tires and brakes, which regenerative braking often extends.

Tesla Model 3 hits quarter million miles with original battery and motor

This performance challenges narratives around EV reliability, especially amid mixed reports from other sources like Consumer Reports or regional inspections. iSeeCars‘ massive dataset emphasizes long-term durability over short-term defect rates, painting Tesla as a leader in sustainable, high-mileage ownership.

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For buyers prioritizing longevity and low maintenance, Tesla’s results signal strong value. While no brand is flawless, factors like driving habits, climate, and software updates matter—the numbers suggest Tesla belongs among the elite for those seeking vehicles built to last.

As EV adoption grows, this iSeeCars data underscores Tesla’s engineering edge in creating enduring, future-proof automobiles.

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