Google DeepMind’s Game-Playing AI Tackles a Chatbot Blind Spot
Google’s new advance combines a large language model with a self-learning AI. The technique could address some shortcomings with AI—although there’s a catch.
Google’s new advance combines a large language model with a self-learning AI. The technique could address some shortcomings with AI—although there’s a catch.
Tech companies—including OpenAI—are developing a new generation of AI assistants that can not only write code but debug, organize, and critique it, too.
Sam Altman is touting AI’s ability to sway people’s behavior. His company is also wrestling with the risks.
Hany Farid, a leading expert on image and video manipulation, says that detecting deepfakes will take more than AI alone.
Anthropic’s latest Claude AI model pulls ahead of rivals from OpenAI and Google. But advances in machine intelligence have lately been more incremental than revolutionary.
Other tech companies want to sell you chatbots. Apple’s demos show the value of seeing the AI as an integrated, holistic experience rather than a stand-alone app or device.
Experiments show that asking AI chatbots to work together on a problem can compensate for some of their shortcomings. WIRED enlisted two bots to help plan this article.
Anthropic and other big AI startups are teaching chatbots “tool use,” to make them more useful in the workplace.
Research at Microsoft shows it’s possible to make AI models small enough to run on phones or laptops without major compromises to their smarts. The technique could open up new use cases for AI.
The emotional mimicry of OpenAI’s new version of ChatGPT could lead AI assistants in some strange—even dangerous—directions.
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