Either way, that’s a lot more than the roughly 775 it’s delivered each month so far.

The recall is over an issue with the gas pedal pad that, the National Highway Traffic Safety Administration says when pressed, “may dislodge, which may cause the pedal to become trapped in the interior trim above the pedal.” The cause of the issue: “unapproved” soap that the manufacturer used to aid in getting the pad on the pedal.

A Cybertruck customer this week posted a TikTok about a terrifying incident in which this happened and “held the accelerator down 100%” in his 6,000+ pound vehicle. Thanks to some quick thinking where he held down the brake and put it in park, he wasn’t injured.

This is the long-awaited Cybertruck’s second recall since it came out five months ago.

Major cocoa-producing nations like the Ivory Coast and Ghana, which between them grow about two-thirds of the world’s cocoa, have seen excessive tree failure due to disease, changing weather patterns, and hot, dry conditions causing devastating droughts.

As such, consumers are starting to see the effects of the largest cocoa supply deficit in over 60 years: “shrinkflation” and reduced-cocoa recipes might soon hit your favorite chocolate bars, and Hershey stock was recently downgraded. Unfortunately, the worst may still be yet to come: the International Cocoa Organization expects production to lag behind demand by 374,000 tons for the 2023-24 season.

What is that training data? There the company is less loquacious.

Meta said the 15 trillion tokens on which its trained came from “publicly available sources.” Which sources? Meta told The Verge’s Alex Heath that it didn’t include Meta user data, but didn’t give much more in the way of specifics.

It did mention that it includes AI-generated data, or synthetic data: “we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.” There are plenty of known issues with synthetic or AI-created data, foremost of which is that it can exacerbate existing issues with AI, because it’s liable to spit out a more concentrated version of any garbage it is ingesting.

AI companies are turning to such data because there’s not enough good, public data on the entire internet to train their increasingly greedy AI models. (Meta had reportedly floated buying a publisher like Simon & Schuster to satisfy its insatiable data needs.)

Meta, of course, isn’t the only company that’s tight-lipped about where its AI data is coming from. In a now infamous interview with WSJ’s Johanna Stern, OpenAI’s chief technology officer Mira Murati was unable to answer questions about what Sora, OpenAI’s video generating app, was trained on. YouTube? Facebook? Instagram — she said she wasn’t sure.

Working as a seller called Big River, a secret group of Amazon employees gained access to rival platforms, including Walmart, FedEx, and Alibaba. They used Big River email addresses and went to seller conferences as Big River employees. They even stayed hidden within Amazon itself. These employees would take screenshots of competitors’ systems that they would then show others at Amazon in person to avoid an email paper trail.

Perhaps most strange of all, the company created a fake Japanese streetwear brand called “Not So Ape” (clearly a play on A Bathing Ape) and continues to sell products from the brand on a Shopify store, presumably as an attempt to learn the inner workings of the shopping platform. Of course, copying is old hat for Amazon.

In meetings where they’d use this clandestine information to inform Amazon’s own business practices, the group resorted to literal paper. “[T]he team avoided distributing presentations electronically to Amazon executives. Instead, they printed the presentations and numbered the documents. Executives could look at the reports and take notes, but at the end of the meeting, team members collected the papers to ensure that they had all copies."