Rivian starts R2 SUV deliveries—an EV that will make or break the company


Rivian has started deliveries of the R2 electric SUV over two years after its announcement. The move marks a new chapter for the company: like Tesla did with the Model 3, it’s moving from the luxury EV market to a considerably wider audience.

The first shipping model is the $57,990 R2 Performance with Launch Package. It offers the same 656HP dual-motor system, all-wheel drive, and 335 miles of EPA range as the regular Performance trim, but includes lifetime access to Rivian’s Autonomy+ driver assistance features, an optional green color with a matching key fob, and a towing kit.

The early deliveries come as Rivian opens orders to reservation holders. Existing owners will get “accelerated delivery timing,” although the company promises a “balanced” approach that still gives first-time buyers a reasonable opportunity. Orders arrive within two to six weeks.

A mid-tier $53,990 R2 Premium will tout 450HP, AWD, and comparable range when it arrives in late 2026. The ‘entry’ $48,490 R2 Standard is due in the first half of 2027 with 350HP, rear-wheel drive, and an estimated 345-mile range. Rivian is still committed to releasing a $45,000 model with “275+” miles of range, but hasn’t narrowed down details.

Why the Rivian R2 so important

The company needs a mass-market EV

To date, Rivian has only offered the R1T pickup and R1S SUV, both of which start over $70,000 and can easily be configured over $100,000. While they’ve generally been well-received, they’ve been small volume cars that were never going to make Rivian profitable by themselves.

The R2 potentially reaches many more people, even if it’s not as relatively inexpensive as the Model 3 was when it debuted in 2017. Rivian is now competing against a mix of conventional SUVs and EVs like the BMW X3 and Mercedes GLC (both gas and electric). It expects to deliver at least 20,000 R2s by the end of 2026, which could help stem years of losses.


Head-on action shot of a 2025 Cadillac Optiq


Forget the BMW iX3—This American electric SUV is just as luxurious and costs $10K less

Same luxury feel, lower price tag — that’s a tough argument to beat.

This might also offset the impact of a tough U.S. EV market. The end to the $7,500 federal tax credit led to a plunge in electric car sales in early 2026. Rivian wasn’t hurt, but it only sold roughly 10,000 EVs across its entire lineup and was catering to buyers that could easily handle the full price. The R2 reaches customers who might still have a lot of money to spend, but are more cost-conscious.


R3 deliveries expected in the near future

The deliveries lay the foundation for Rivian’s longer-term plans as well. It expects to ship its cheaper hatchback-style R3 crossover in late 2027 or early 2028.

If the R2 is a hit, there could be greater interest in the R3 and an even larger market. Rivian isn’t wholly dependent on the R2 (its software and services team turned a year of gross profit thanks to VW), but there’s no doubt it needs a success to stay on track.

Source: Rivian



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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