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Post: What Messing With Chatbots Tells Us About the Future of AI

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What Messing With Chatbots Tells Us About the Future of AI
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In June, Mark Zuckerberg shared his theory of the future of chatbots . “We think people want to interact with lots of different people and businesses and there need to be a lot of different AIs that get created to reflect people’s different interests,” he said in an interview. Around the same time, Meta started testing something called “AI Studio,” a tool that lets users design chatbots of their own. Zuckerberg suggested that creators and businesses might want to “create an AI for themselves” for fans or customers to chat with and that such tools will “just be more dynamic and useful than just having a single thing that people use.”

Like a lot of big tech companies, Meta, which is spending billions of dollars developing models and buying AI chips, is taking an “all of the above” approach to AI deployment. It’s installed a general-purpose chatbot in the search bar of its most popular apps . It’s squeezing smaller AI tools into every crevice of its platforms, some of which are simultaneously being overrun with AI content generated mostly by non-Meta tools. But Zuckerberg is making a specific argument here: That the future of AI isn’t a single chatbot, like ChatGPT or Gemini, but rather lots of bots with different personas or designed for different tasks.

If you’re an executive at a frequently criticized tech company, this position has extra appeal : Open-ended chatbots are seen as speaking for the companies that create them, which means their fuckups, stumbles, and merely subjective outputs are ascribed to Meta, Google, or OpenAI, dooming the companies to perpetual backlash and their products to useless incoherence. Narrowed-down or “scoped” chatbots might help with this.

At least, that’s the idea. Last week, when I noticed a button for AI Studio on Instagram, I thought I’d test it out. Regular users haven’t shared that many personas yet, but Meta created a few of its own that you can take for a spin. There is, for example, “Dialect Decoder,” which says it’s “Decoding Slang, one phrase at a time.” So I asked it about the first recently disorienting […]

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