
"Joanna just left that lofty perch at The Journal to start her own media company called New Things. She's starting with her new book about AI, called I Am Not a Robot, which is out this week on May 12th. You'll hear us reference the fact that she and I have been talking about her big move to go independent for ages now - it's something she's wanted to do and wrestled with for years, and she has a long list of interesting reasons about why now is the time. She's also structured her new venture in partnership with NBC to keep her in front of a big mainstream audience."
"She spent a full year allowing AI into every part of her life and has more of a sense of where this technology actually is than pretty much anyone because of it. As you'll hear Joanna explain, many of the most hyped AI-powered gadgets - especially the humanoid robots - are definitely not ready, and they might not be for a very long time. But you'll also hear Joanna say she's a lot more bullish on certain types of AI after her experience writing her book."
"She thinks wearable AI might really get us to a killer app - one that might justify all the extreme tradeoffs we're making to continue developing the technology at the pace the tech industry wants to. She's also using AI to help get her new media company off the ground. So I asked her about that, too, and what she's learning now that she's left the world of traditional media and put a heavier emphasis on the YouTube algorithm."
Joanna Stern left a senior technology role to launch a new media company called New Things with a partnership with NBC to reach a mainstream audience. She released a book about AI, I Am Not a Robot, after spending a year letting AI into every part of her life. She argues that many highly hyped AI-powered gadgets, especially humanoid robots, are not ready and may remain so for a long time. She is more optimistic about wearable AI, viewing it as a path to a killer app that could justify major tradeoffs made to advance AI quickly. She also uses AI to help build her company and focuses on learning how the YouTube algorithm affects growth.
Read at The Verge
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