Large Language Models’ Emergent Abilities Are a Mirage
The original version of this story appeared in Quanta Magazine.
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The original version of this story appeared in Quanta Magazine.
Eight names are listed as authors on “Attention Is All You Need,” a scientific paper written in the spring of 2017. They were all Google researchers, though by then one had left the company. When the most tenured contributor, Noam Shazeer, saw an early draft, he was surprised that his name appeared first, suggesting his contribution was paramount. “I wasn’t thinking about it,” he says.
While the tech industry went gaga for generative artificial intelligence, one giant has held back: Apple. The company has yet to introduce so much as an AI-generated emoji, and according to a New York Times report today and earlier reporting from Bloomberg, it is in preliminary talks with Google about adding the search company’s Gemini AI model to iPhones.
Reddit said ahead of its IPO next week that licensing user posts to Google and others for AI projects could bring in $203 million of revenue over the next few years. The community-driven platform was forced to disclose Friday that US regulators already have questions about that new line of business.
This week a startup called Cognition AI caused a bit of a stir by releasing a demo showing an artificial intelligence program called Devin performing work usually done by well-paid software engineers. Chatbots like ChatGPT and Gemini can generate code, but Devin went further, planning how to solve a problem, writing the code, and then testing and implementing it.
Kate Middleton, the Princess of Wales, needs to brush up on her Photoshop skills, apparently.
After suing OpenAI this month, alleging the company has become too closed, Elon Musk says he will release his “truth-seeking” answer to ChatGPT, the chatbot Grok, for anyone to download and use.
The original version of this story appeared in Quanta Magazine.