As Google, OpenAI and Meta Push A.I. Agents, Enterprises Need Models That Think Less
Observer
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The race to make A.I. more capable is entering a new phase. Google ’s announcement yesterday (Oct. 8) of a “universal” Gemini agent that can run in the background of apps and devices marks the latest step in a broader push to make A.I. act on users’ behalf. OpenAI introduced its always-on agents, called dots, in September, just weeks after Meta released Muse, a personal agent capable of shopping, booking travel, sending emails and making payments. The ambition has evolved from giving users a better way to generate text or analyze simple information to build systems that can do the work themselves, across both enterprise workflows and personal life. For the past several years, A.I. has been organized around a fairly simple assumption: smarter models will produce better software.
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