That helps to explain why, for example, one user was able to get ChatGPT to write the lyric “If you see a woman in a lab coat, She’s probably just there to clean the floor.” (None of this is stopping companies from developing and selling these tools.) This is partially because the models that power this technology have learned from real human texts, such as Reddit threads and Wikipedia entries our existing biases, as encoded in the things we’ve written on the web, are therefore built into them. Even in their infancy, they have already returned a number of racist, sexist, bullying, and/or factually untrue responses. Bias is a consistent problem in AI, and these tools are no exception. Note that most of these programs are still in learning mode and may say inappropriate or incorrect things. This cheat sheet tracks some of the most notable chatbot contenders through a few metrics: Can you actually use them? Do they contain glaring flaws? Can they channel the spirit of Ralph Waldo Emerson, The Atlantic’s co-founder? And what Oreo flavor do they think they would be? Ultimately, it’s about determining whether the chatbots are actually distinct-and whether they might genuinely be useful. OpenAI has defined the moment, but there are plenty of competitors, including major players such as Google and Meta and lesser-known start-ups such as Anthropic. Chatbots have existed for decades, but they haven’t seemed especially intelligent-nothing like the poetry-writing, email-summarizing machines that have sprouted up recently. Last November, OpenAI released ChatGPT into the unsuspecting world: It became the fastest-growing consumer app in history and immediately seemed to reconfigure how people think of conversational programs. If you believe in the multibillion-dollar valuations, the prognostications from some of tech’s most notable figures, and the simple magic of getting a computer to do your job for you, then you might say we’re at the start of the chatbot era.
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