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cover of episode EP 425: Google Gemini Deep Research - The best new AI tool you’re not using yet

EP 425: Google Gemini Deep Research - The best new AI tool you’re not using yet

2024/12/18
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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Jordan Wilson
一位经验丰富的数字策略专家和《Everyday AI》播客的主持人,专注于帮助普通人通过 AI 提升职业生涯。
Topics
Jordan Wilson: Google Gemini Deep Research是一个强大的AI工具,它简化了在线信息收集的过程,显著提高了研究效率。它能够处理复杂的多步骤研究任务,并在几分钟内完成人类需要花费一天以上才能完成的工作。其性能优于Perplexity和ChatGPT Search,尤其在处理复杂的多步骤研究任务方面。 然而,Google Gemini Deep Research的准确性可能存在差距,并且对查询内容有限制。它不擅长迭代式提示,但擅长一次性深度研究。其用户界面和用户体验优秀。 大型语言模型的兴起正在改变人们使用互联网的方式,并对传统的信息获取途径产生影响。大型语言模型对传统内容发布者构成了挑战,需要探索新的内容变现模式,例如广告分成模式。 Google Gemini Deep Research可以显著提高研究效率,将原本需要数小时甚至数天才能完成的研究任务缩短至几分钟。大型语言模型的输出结果并非绝对准确,需要人工审核。大型语言模型的普及对互联网和内容发布者的未来发展模式将产生深远影响,需要探索新的商业模式。

Deep Dive

Key Insights

What is Google Gemini Deep Research and how does it work?

Google Gemini Deep Research is an AI-powered tool inside Google Gemini that automates in-depth web research and report generation. It takes a query, breaks it down into steps, visits a large number of websites, and produces a structured, detailed report. Users can access the report directly or open it in Google Docs.

Why is Google Gemini Deep Research considered superior to other AI research tools like Perplexity and ChatGPT Search?

Google Gemini Deep Research outperforms other tools by visiting a significantly larger number of websites (up to 250) and providing more comprehensive, fully cited research. It excels in tackling complex, multi-step research tasks that would typically take a human more than a day, completing them in a couple of minutes.

What are the main features of Google Gemini Deep Research?

The main features include advanced reasoning for deep dives, a detailed research plan, analysis of multiple sources, and the generation of structured reports. It can also create charts and highlight pros and cons, and it provides sources for each piece of information.

Why is the front-end of Google Gemini finally getting better?

The front-end of Google Gemini has been improved with the addition of Deep Research and experimental models like Gemini 2.0 Flash. Until recently, the front-end was neglected, which was costly for Google. Now, it offers a more user-friendly experience and more advanced capabilities, making it a viable tool for users.

Why might content publishers and websites be affected by AI tools like Google Gemini Deep Research?

AI tools like Google Gemini Deep Research expedite the process of research, reducing the need for users to visit multiple websites. This can lead to a decline in website traffic, which is crucial for content publishers who rely on ad revenue. As a result, these publishers may lose income and struggle to sustain their operations.

Why is Google Gemini Deep Research not available on all workspace accounts?

Google Gemini Deep Research is currently available only to Gemini Advanced users on personal Gmail accounts. It is not yet rolled out to many workspace accounts, even though these users pay for Gemini subscriptions. The reason for this limited availability is not clear.

What are the potential issues with using Google Gemini Deep Research for content creation?

Potential issues include gaps in accuracy or depth, content moderation errors, and bias in the results. Since the tool scrapes the web, it can ingest biased or incorrect information. Users should always verify the sources and check the accuracy of the generated content.

How can Google Gemini Deep Research be used in practical scenarios?

It can be used for collecting and analyzing extensive data, marketing analysis, competitor benchmarking, and automating complex research workflows. For example, it can generate a comprehensive guide on tiny house communities across all 50 states, or detailed reports on recent AI product releases and updates.

Why is iterative prompting a challenge for Google Gemini Deep Research?

Google Gemini Deep Research is not designed for iterative prompting. It excels at one-off deep research tasks but struggles with continuing research or modifying content. Users may need to copy and paste the generated content into other Google tools for further refinement.

What is the future implication of AI research tools on the internet and content creation?

The rise of AI research tools like Google Gemini Deep Research could lead to a shift in how people access and use information. Content publishers may need to adapt to new models, such as ad share models, to sustain their operations. AI tools are likely to become more integrated into daily workflows, potentially reducing the time spent on research and increasing the depth of analysis.

Chapters
This chapter explores Google Gemini's Deep Research, a new AI tool that automates in-depth web research. It compares it to similar tools like Perplexity and ChatGPT Search, highlighting its strengths and weaknesses, including accuracy, bias and limitations in handling complex, unrelated tasks. The impact of AI on traditional information access and content publishing is also discussed.
  • Google Gemini Deep Research automates in-depth web research and report generation.
  • It outperforms Perplexity and ChatGPT search in handling complex research tasks.
  • It may have gaps in accuracy and is sensitive to prompt phrasing.
  • The impact of AI on traditional information access and content publishing is discussed.

Shownotes Transcript

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Perplexity Killer: Google Gemini's Deep Research? (Also, is it weird saying that a trillion dollar tech behemoth is the one threatening the startup? lolz). Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet. Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan questions on Google Gemini)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1.  Google Gemini Deep Research Capabilities2. AI Tools and Deep Research3. Comparison of AI Research Tools4. AI Research Implications5. AI's Impact on Traditional Access to InformationTimestamps:**02:05 Daily AI news04:42 Gemini XP 1206: Improved performance, requires subscription.07:40 Google Gemini's front end wasn't user-friendly.12:00 Google deep research simplifies information gathering online.14:31 Mobile access 2025; Perplexity vs ChatGPT search.17:40 Generative AI struggles with complex unrelated tasks.21:17 Gemini not available on many workspace accounts.23:27 OpenAI and Google released significant AI updates.28:10 Open in Google Docs; not deep research.29:53 Google Gemini UI/UX praised as excellent.34:06 Google Gemini front-end broken, backend impressive.37:56 Research US tiny house communities comprehensively, please.41:11 OpenAI and Google released numerous AI updates.45:13 Base models average; Gemini outperforms with A-.47:53 Comprehensive guide highlighting tiny house communities nationwide.51:54 Optimize hours for 10x results, minimal research.54:00 Content monetization challenges with AI disruptors looming.**Keywords:**Jordan Wilson, AI tools, deep research, split test, tiny house communities, ChatGPT, Perplexity, Google's Gemini, AI product releases, research capabilities, reasoning mode, content generation, research efficiency, AI in content creation, AI-generated content errors, AI tools popularity, ad share model, Google Docs, OpenAI, multimedia content, Google Gemini Deep Research, podcast, NVIDIA Jetson Orin Nano Super Developer Kit, Salesforce Hiring Expansion, large language models, internet data, multi-step research tasks, audience interaction, Google Gemini's subscription, iterative prompting.

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