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Story

OpenAI’s Dots Agents Show Promise, but Trust Issues Remain

AI summary

A WIRED test of OpenAI’s always-on Dots agents found that they could research and refine couch recommendations, monitor product pages, and assemble detailed shopping briefs. The review also found reliability and trust issues, including transcription errors, an unsuccessful CAPTCHA attempt, and an awkward response that appeared to express affection after mishearing the user.

In-depth insight

The hands-on test highlights both the practical potential and current reliability, privacy, and emotional-boundary risks of consumer-facing AI agents.

I’m discussing replacement options for our broken couch with my partner when I get a bright idea: Use OpenAI’s recently announced AI agents, called Dots, to buy a couch on our behalf.

My partner is less sure a bot will actually help, but I insist, calling the always-on agent through ChatGPT to get the task started. “Hello, Connor,” it says, getting my name wrong off the bat. I wince as I watch my partner’s face grow even more skeptical. It’s hard to trust an AI agent when it can’t even remember your name.

AI agents are currently leaping from niche software for early adopters to something ordinary people might actually use—might being the operative word here. From Meta’s Muse to OpenAI’s Dots, these tools are built to feel like you’re texting a friend and asking them to complete online tasks, like booking a flight or canceling a dinner reservation. It’s the next evolution of a chatbot: a cuddly persona designed to feel welcoming with the power of a virtual browser it can control.

After a few days with Dots, it’s clear this nascent feature is still rough in some areas. From mistranscribing what I said to offering to solve captchas it couldn’t, my agent's messy actions didn’t instill me with confidence. Even so, what OpenAI released may eventually overhaul how users interact with the internet, as future iterations improve on this initial offering.

#OpenAI#Dots#ChatGPT#Meta Muse

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