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On Sat, 9 Nov, 12:06 AM UTC
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AI Is Killing the Internet's Curiosity
This is an edition of The Atlantic Daily, a newsletter that guides you through the biggest stories of the day, helps you discover new ideas, and recommends the best in culture. Sign up for it here. One of the most wonderful, and frustrating, things about Google Search is its inefficiency. The tool, at its most fundamental level, doesn't provide knowledge. Instead, it points you to where it may, or may not, lie. That list of blue links can lead you down rabbit holes about your favorite sports team and toward deep understandings of debates you never knew existed. This tendency can also make it impossible to get a simple, straightforward fact. But the experience of seeking information online is rapidly changing. Tech giants have for almost two years been promising AI-powered search tools that do provide knowledge and answers. And last week, OpenAI, Perplexity, and Google made announcements about their AI-powered search products that provide the clearest glimpse yet into what that future will look like. I've spent the past week using these tools for research and everyday queries, and reported on my findings in an article published today. "These tools' current iterations surprised and, at times, impressed me," I wrote, "yet even when they work perfectly, I'm not convinced that AI search is a wise endeavor." The promise of AI-powered search is quite different from Google's -- not to organize information so you can find it yourself, but to readily provide that information in a digestible, concise format. That made my searches faster and more convenient at times. But something deeply human was lost as a result. The rabbit holes and the unexpected obsessions are what's beautiful about searching the internet; but AI, like the tech companies developing it, is obsessed with efficiency and optimization. What I loved about traditional Google searches, I wrote, is "falling into clutter and treasure, all the time, without ever intending to. AI search may close off these avenues to not only discovery but its impetus, curiosity."
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The Death of Search
AI is transforming how billions navigate the web. A lot will be lost in the process. For nearly two years, the world's biggest tech companies have said that AI will transform the web, your life, and the world. But first, they are remaking the humble search engine. Chatbots and search, in theory, are a perfect match. A standard Google search interprets a query and pulls up relevant results; tech companies have spent tens or hundreds of millions of dollars engineering chatbots that interpret human inputs, synthesize information, and provide fluent, useful responses. No more keyword refining or scouring Wikipedia -- ChatGPT will do it all. Search is an appealing target, too: Shaping how people navigate the internet is tantamount to shaping the internet itself. Months of prophesying about generative AI have now culminated, almost all at once, in what may be the clearest glimpse yet into the internet's future. After a series of limited releases and product demos, mired with various setbacks and embarrassing errors, tech companies are debuting AI-powered search engines as fully realized, all-inclusive products. Last Monday, Google announced that it would launch its AI Overviews in more than 100 new countries; that feature will now reach more than 1 billion users a month. Days later, OpenAI announced a new search function in ChatGPT, available to paid users for now and soon opening to the public. The same afternoon, the AI-search start-up Perplexity shared instructions for making its "answer engine" the default search tool in your web browser. Read: The AI search war has begun For the past week, I have been using these products in a variety of ways: to research articles, follow the election, and run everyday search queries. In turn I have scried, as best I can, into the future of how billions of people will access, relate to, and synthesize information. What I've learned is that these products are at once unexpectedly convenient, frustrating, and weird. These tools' current iterations surprised and, at times, impressed me, yet even when they work perfectly, I'm not convinced that AI search is a wise endeavor. For decades, the search bar has been a known entity. People around the world are accustomed to it; several generations implicitly regard Google as the first and best way to learn about basically anything. Enter a query, sift through a list of links, type a follow-up query, get more links, and so on until your question is answered or inquiry satisfied. That indirectness and wide aperture -- all that clicking and scrolling -- are in some ways the defining qualities of a traditional Google search, allowing (even forcing) you to traverse the depth and breadth of connections that justify the term world-wide web. The hyperlink, in this sense, is the building block of the modern internet. That sprawl is lovely when you are going down a rabbit hole about Lucrezia de Medici, as I did when traveling in Florence last year, or when diving deep into a scientific dilemma. It is perfect for stumbling across delightful video clips and magazine features and social-media posts. And it is infuriating when you just need a simple biographical answer, or a brunch recommendation without the backstory of three different chefs, or a quick gloss of a complex research area without having to wade through obscure papers. In recent years, more and more Google Search users have noted that the frustrations outweigh the delight -- describing a growing number of paid advertisements, speciously relevant links engineered to top the search algorithm, and erroneous results. Generative AI promises to address those moments of frustration by providing a very different experience. Asking ChatGPT to search the web for the reasons Kamala Harris lost the presidential election yielded a short list with four factors: "economic concerns," "demographic shifts," "swing state dynamics," and "campaign strategies." It was an easy and digestible response, but not a particularly insightful one; in response to a follow-up question about voter demographics, ChatGPT provided a stream of statistics without context or analysis. A similar Google search, meanwhile, pulls up a wide range of news analyses that you have to read through. If you do follow Google's links, you will develop a much deeper understanding of the American economy and politics. Another example: Recently, I've been reading about a controversial proposed infrastructure project in Maryland. Google searches sent me through a labyrinth of public documents, corporate pitches, and hours-long recordings of city-council meetings, which took ages to review but sparked curiosity and left me deeply informed. ChatGPT, when asked, whipped up an accurate summary and timeline of events, and cited its sources -- which was an extremely useful way to organize the reading I'd already done, but on its own might have been the end of my explorations. I have long been a critic of AI-powered search. The technology has repeatedly fabricated information and struggled to accurately attribute its sources. Its creators have been accused of plagiarizing and violating the intellectual-property rights of major news organizations. None of these concerns has been fully allayed: The new ChatGPT search function, in my own use and other reports, has made some errors, mixing up dates, misreporting sports scores, and telling me that Brooklyn's Prospect Park is bigger than Manhattan's (much larger) Central Park. The links offered by traditional search engines are filled with errors too -- but searchbots implicitly ask for your trust without verification. The citations don't particularly invite you to click on them. And while OpenAI and Perplexity have entered into partnerships with any number of media organizations, including The Atlantic -- perhaps competing for the high-quality, human-made content that their searchbots depend on -- exactly how websites that once relied on ad revenue and subscriptions will fare on an AI-filtered web eludes me. (The editorial division of The Atlantic operates independently from the business division, which announced its corporate partnership with OpenAI in May.) Read: AI search is turning into the problem everyone worried about Although ChatGPT and Perplexity and Google AI Overviews cite their sources with (small) footnotes or bars to click on, not clicking on those links is the entire point. OpenAI, in its announcement of its new search feature, wrote that "getting useful answers on the web can take a lot of effort. It often requires multiple searches and digging through links to find quality sources and the right information for you. Now, chat can get you to a better answer." Google's pitch is that its AI "will do the Googling for you." Perplexity's chief business officer told me this summer that "people don't come to Perplexity to consume journalism," and that the AI tool will provide less traffic than traditional search. For curious users, Perplexity suggests follow-up questions so that, instead of opening a footnote, you keep reading in Perplexity. The change will be the equivalent of going from navigating a library with the Dewey decimal system, and thus encountering related books on adjacent shelves, to requesting books for pickup through a digital catalog. It could completely reorient our relationship to knowledge, prioritizing rapid, detailed, abridged answers over a deep understanding and the consideration of varied sources and viewpoints. Much of what's beautiful about searching the internet is jumping into ridiculous Reddit debates and developing unforeseen obsessions on the way to mastering a topic you'd first heard of six hours ago, via a different search; falling into clutter and treasure, all the time, without ever intending to. AI search may close off these avenues to not only discovery but its impetus, curiosity. The issues with factuality and attribution may well be resolved -- but even if they aren't, tech companies show no signs of relenting. Controlling search means controlling how most people access every other digital thing -- it's an incredible platform to gain trust and visibility, advertise, or influence public opinion. The internet is changing, and nobody outside these corporations has any say in it. And the biggest, most useful, and most frightening change may come from AI search engines working flawlessly. With AI, the goal is to keep you in one tech company's ecosystem -- to keep you using the AI interface, and getting the information that the AI deems relevant and necessary. The best searches are goal-oriented; the best responses are brief. Which perhaps shouldn't be surprising coming from Silicon Valley behemoths that care, above all, about optimizing their businesses, products, and users' lives. A little, or even a lot, of inefficiency in search has long been the norm; AI will snuff it out. Our lives will be more convenient and streamlined, but perhaps a bit less wonderful and wonder-filled, a bit less illuminated. A process once geared toward exploration will shift to extraction. Less meandering, more hunting. No more unknown unknowns. If these companies really have their way, no more hyperlinks -- and thus, no actual web.
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AI-powered search engines are transforming how we access information online, promising efficiency but potentially limiting the serendipitous discoveries that characterize traditional web searches.
In recent months, tech giants and startups have made significant strides in developing AI-powered search engines, marking a potential paradigm shift in how we access information online. Companies like Google, OpenAI, and Perplexity are at the forefront of this transformation, each unveiling new AI search products that promise to revolutionize the search experience 1.
Google has expanded its AI Overviews feature to over 100 countries, reaching more than a billion users monthly. OpenAI has introduced a search function in ChatGPT for paid users, with plans to make it publicly available soon. Meanwhile, Perplexity, an AI-search startup, has provided instructions for users to set its "answer engine" as their default search tool 2.
AI-powered search engines aim to provide concise, digestible information directly, contrasting with traditional search engines that offer a list of potentially relevant links. This approach promises increased efficiency and convenience, particularly for straightforward queries or when seeking quick summaries of complex topics 1.
However, this efficiency comes at a cost. The serendipitous discoveries and unexpected learning opportunities that often arise from traditional web searches may be lost. The "rabbit holes" and diverse perspectives encountered during a typical Google search contribute to a richer, more nuanced understanding of topics 2.
Despite their convenience, AI-powered search engines face ongoing challenges with accuracy and trust. Instances of fabricated information, misattributed sources, and factual errors have been reported. For example, ChatGPT's search function has been found to mix up dates, misreport sports scores, and provide incorrect information about well-known facts 2.
These issues raise concerns about the implicit trust users might place in AI-generated responses, especially when the provided citations don't encourage further verification or exploration of sources.
The shift towards AI-powered search represents a fundamental change in how we interact with the internet. Traditional search engines, with their lists of hyperlinks, have been instrumental in shaping the interconnected nature of the web. This structure has allowed for broad exploration and the discovery of diverse perspectives 2.
AI search, in contrast, focuses on providing direct answers, potentially limiting the user's exposure to the wider context and varying viewpoints available on the internet. This efficiency-driven approach aligns with tech companies' goals but may inadvertently narrow the scope of users' online explorations.
As AI-powered search engines continue to evolve, finding a balance between efficiency and the preservation of curiosity-driven exploration remains a challenge. While these tools offer undeniable benefits in terms of speed and convenience, they also risk homogenizing the search experience and potentially limiting the breadth of information users encounter 1.
The future of internet search lies in striking a delicate balance between the efficiency of AI-generated responses and the rich, diverse, and often unexpected discoveries that characterize traditional web browsing. As these technologies continue to develop, it will be crucial to preserve the internet's capacity for sparking curiosity and facilitating serendipitous learning.
OpenAI's SearchGPT is set to disrupt the search engine market, challenging Google's dominance and forcing innovation in SEO practices. This AI-powered search tool promises to transform how we find and consume information online.
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A new study by Columbia's Tow Center for Digital Journalism finds that AI-driven search tools frequently provide incorrect information, with an average error rate of 60% when queried about news content.
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OpenAI's upcoming SearchGPT is set to challenge Google's search dominance. This AI-powered search engine promises a new era of information retrieval, potentially reshaping the search landscape.
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