{"id":14611,"date":"2026-06-04T00:46:05","date_gmt":"2026-06-03T23:46:05","guid":{"rendered":"https:\/\/innovatenews.site\/index.php\/2026\/06\/04\/survey-reveals-you-want-one-simple-thing-from-ai-and-its-not-more-bells-and\/"},"modified":"2026-06-04T00:46:07","modified_gmt":"2026-06-03T23:46:07","slug":"survey-reveals-you-want-one-simple-thing-from-ai-and-its-not-more-bells-and","status":"publish","type":"post","link":"https:\/\/innovatenews.site\/index.php\/2026\/06\/04\/survey-reveals-you-want-one-simple-thing-from-ai-and-its-not-more-bells-and\/","title":{"rendered":"Survey reveals you want one simple thing from AI, and it\u2019s not more bells and\u2026"},"content":{"rendered":"
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The topic Survey reveals you want one simple thing from AI, and it\u2019s not more bells and\u2026<\/strong> is currently the subject of lively discussion \u2014 readers and analysts are keeping a close eye on developments.<\/p>\n

This is taking place in a dynamic environment: companies\u2019 decisions and competitors\u2019 reactions can quickly change the picture.<\/p>\n

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It doesn\u2019t feel that long ago that we first fired up ChatGPT, only to be wowed by how it could respond and answer queries as if it were semi-sentient. But such is the pace of the industry, it\u2019s hard to keep up with all the functionality of each AI tool in 2026. They feel like productivity octopuses now, with tentacles in every app and more integrations and features than you can shake a stick at. Workflows like Gemini Notebooks and apps like NotebookLM are two good examples of how quickly Gemini has evolved. We wanted to know whether all that extra functionality really matters to you, or whether you\u2019d rather the likes of Google and OpenAI should just focus on making sure AI can give you the best possible answers.<\/p>\n

We put the question to you in a poll after my colleague Karandeep made the case that Gemini Notebooks \u2014 especially with NotebookLM in the mix \u2014 had made him rethink ChatGPT. His argument was about what could win him over when choosing an AI tool, specifically about Google giving Gemini a more useful workflow with things like Notebooks and custom sources. That\u2019s his personal take, but we all have our own view of how AI tools could up their game. Here\u2019s how you voted.<\/p>\n

As the chart shows, the result is pretty decisive. From over 2,000 votes, 53% of readers said better answers matter most to them in an AI tool. Integrations like NotebookLM came next with 22%, followed by organized workflow at 17%. Only 8% said they just use whatever is easiest. To be fair, most people who just don\u2019t want to think much about AI probably weren\u2019t reading Karendeep\u2019s article.<\/p>\n

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That doesn\u2019t mean Google and its competitors are wasting their time by building out their AI tools this way. If we combine the workflow and integration votes, almost four in ten respondents are interested in the kind of broader productivity setups that Gemini and others offer. It\u2019s just that most readers still seem to see that as the nice-to-have part, whereas accuracy of answers is more of a dealbreaker.<\/p>\n

A handful of you jumped into the comments section of Karendeep\u2019s article, and it turned into a debate over which AI tool is doing the best job. Chris Joseph wasn\u2019t sold on Gemini, writing, \u201cAs chatbots go, Gemini is the most frustrating to work with. NotebookLM is its only saving grace IMO.\u201d Phillip Warner agreed, saying, \u201cI keep giving Gemini a chance, and it\u2019s just not good.\u201d On the other side, Markthomasbernhardt pointed to a useful workflow, noting that you can put a Google Deep Research paper into NotebookLM as a guidance document.<\/p>\n

Crazy Zaza probably summed up the AI race best: \u201cIn a week, GPT 5.6 will make you rethink Gemini. It will never end.\u201d Zaza may be crazy, but they make a fair point \u2014 like it or not, it seems this is our life now.<\/p>\n

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