This month, Rivian begins customer deliveries of the highly anticipated R2 model that aims to bring the startup’s aspirational adventure lifestyle to the mainstream EV market. That has required cutting costs, scaling production, and reaching new customers—a big brief, then, for the diminutive R2.

To show exactly how a startup transitions to a mass-market automaker, Rivian hosted a picturesque media event in Utah that included both on and off-road driving in the Launch Edition that stickers for just under $60,000 (including destination). We also got plenty of access to the technological development that underpins the brand’s critical electric crossover.

The R2 almost perfectly matches the dimensions of today's best-selling US cars. This dedicated two-row model, versus the R1’s three-row S or pickup truck T, measures 185.9 inches (4,722 mm) long, or about 1 inch (25.4 mm) longer than a Honda CRV. The R1’s instantly recognizable profile and design language carry through, but unique packaging requirements dictated nifty design solutions.

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It feels like there's no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t require a Wi-Fi connection for some reason. You’d be forgiven for wondering if we’re in the midst of a quantum leap in tech or whether people are just hyping up a heap of slop.

So what should we make of the growing use of AI in weather and climate modeling?

The conversation didn't get off to a great start earlier this year when a National Weather Service office posted a forecast map featuring nonexistent cities in Idaho with names like “Whata Bod” and “Orangeotild.” Thankfully, that was just an AI-generated image produced for social media, not the actual forecast model. Meteorologists and climate scientists are not yet being replaced by large language model prompt engineers.

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At some point during the fog of 2021 or 2022, I noticed that my son's preferred brand of fruit snacks had switched from including 0.9 ounces per pouch to 0.8 ounces per pouch. Most shrinkflation is meant to fly under the radar, but in this case, I just happened to notice it. It felt bad! It's tangible evidence that your money is not going as far as it did in the very recent past.

A little over a year ago, AMD launched the Radeon RX 9070 for a suggested retail price of $549. This month, it's launching the similarly named Radeon RX 9070 GRE for a suggested retail price of $549. This new card (actually the US launch of a GPU that's been available in China for a year or so) has 85 percent as many GPU cores, 75 percent as much memory, and 66 percent as much memory bandwidth as the regular RX 9070.

We'll evaluate the RX 9070 GRE in the context of the current GPU market, where prices have been edging upward due to the same AI-driven RAM shortages and price hikes that have made PC building and buying such a miserable experience for the last few months. But it's hard not to be a little upset about such a clear example of GPU shrinkflation—the same money for a markedly inferior product.

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