The cars rolling off the production line right now are filled with outdated ideas. From start to finish, building a new vehicle can take five years or more—that’s plenty of time for many tastes, politics, and changes in gas prices. That’s why carmakers are so excited about AI’s potential to speed up parts of the process, from model-building to wind-tunneling. LLMs may be set to change the way we work.
on this issue of The VergecastAutomotive and technology journalists (and often the verge Contributor) Tim Stevens explains how car companies are adopting AI, and why accelerating development could be such a big deal. He also tells us that even though car companies swear that they are not planning to replace humans with AI, we should be worried about what will happen when car companies replace humans with AI. At the end of this transition, will AI models decide which cars we drive? And what can they choose? That future is a ways off, but it’s worth thinking about now.
after this, The VergeHayden Fields joins the show to learn the biggest stories in AI. Cloud Code and Codex AI are competing for coding supremacy; Anthropic is either back in the US government or not, and it’s not entirely clear how much it matters; The vibes are a little better on OpenAI but still not great; AGI is dead, maybe. Nothing about the AI industry ever stands still, so we have a lot to discuss.
Finally, Hayden stopped by the Vergecast Hotline (call 866-VERGE11 or email Vergecast@theverge.com!) to answer a question about the large number of layoffs companies are laying off and the reason for this is “AI efficiency.” Are these layoffs really about AI? Sometimes. Like.
If you want to learn more about everything discussed in this episode, here are some links to get you started:
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