• EP 465: Deep Research Throwdown - Perplexity vs. Google vs. OpenAI

  • Feb 19 2025
  • Length: 52 mins
  • Podcast

EP 465: Deep Research Throwdown - Perplexity vs. Google vs. OpenAI

  • Summary

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    Deep Research tools are gonna be the second wave of GenAI. Granted, they'll be a MUCH smaller wave than the ChatGPT moment of 2022. Yet, before AI Agents take off flying, we're going to see a mass adoption to these new Deep Research Tools.

    But which ones are good?

    Is Google's the winner? Is OpenAI's in-depth researcher untouchable? Or is Perplexity's free and speedy option to way to go?

    We'll go in depth on each.

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    Topics Covered in This Episode:
    1. Breakdown of Deep Research Tools
    2. Challenges in Using the Internet for Research
    3. Tasks Suitable for Deep Research Tools
    4. Comparison of Deep Research Tools
    5. Practical Demonstration and Live Testing

    Timestamps:
    00:00 Deep Research AI Tool Showdown
    05:30 OpenAI's Advantage in AI Research
    07:21 "Disruptive Deep Research Tools"
    11:49 Essential AI Tools for Research
    14:20 Adapting Work to Connectivity Constraints
    17:34 OpenAI's Enhanced O3 Model Overview
    23:10 Google Deep Research Explained
    24:05 Web Crawling: Google vs. OpenAI
    29:28 "LLM Development Interests Clarification"
    31:14 "Optimizing Deep Research Methodology"
    35:11 Tool Comparison and Pause Announcement
    38:06 AI Accuracy and Hallucinations
    42:27 Misreported Interests: From Music to Marketing
    46:01 Choosing a Deep Research Service
    47:49 OpenAI Dominates Deep Research Choices

    Keywords:
    AI research tools, deep research tools, large language models, perplexity deep research, Google deep research, OpenAI deep research, AI-powered tools, AI news, AI predictions, business use cases, knowledge workers, AI in business, ROI on GenAI, strategies for deep research, Internet research, research synthesis, AI deep dive, professional research, AI hallucinations, SEO and AI, AI-powered market analysis, AI in education, AI-generated reports, AI in competitive analysis, advanced research methodologies, AI and disruption, deep learning models, transformative AI use cases, factual accuracy in AI, AI pricing and access, AI model reasoning.

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