ChatGPT Deep Research Explained
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33 thoughts on “ChatGPT Deep Research Explained

  1. Thank you for posting this video. These use cases are exactly what I use AI tools for in my business multiple times a week across many domains. Results today give an excellent first pass and summary from which to identify where to focus. It appears the new model will automate the next steps which requires much more detailed research, analysis and evaluation, which would be an even more significant time saver.

  2. Do you think this could be useful for me? I've been researching for the past two weeks about starting a career in Computer Science, but have zero idea about what certifications are needed. Specifically, I want to find a job as an on-site IT Technician.

  3. I recently ran multiple tests on DeepSeek and uncovered serious reasoning flaws—it repeatedly loops through bad logic, contradicts itself, and spirals into thought loops. Turns out, MoE-based models have already been abandoned by most AI researchers due to their inconsistency and lack of memory.

    🧠 Deep Research seems to fix everything that makes DeepSeek unreliable.
    ✅ It refines its reasoning over time instead of making the same mistakes repeatedly.
    ✅ It actually researches rather than just throwing random answers at a problem.
    ✅ It doesn’t suffer from MoE-style thought loops that make reasoning unpredictable.

    If Deep Research delivers on its promise, it could completely overshadow DeepSeek.

    I wrote an in-depth breakdown of why DeepSeek fails and why MoE isn’t the future of AI. Check it out here: 👇
    📄 [Insert Google Docs link]

    Would love to hear thoughts from the AI community! Are we witnessing the real AI breakthrough here? 🤔🔥

    https://docs.google.com/document/d/1ES4_FIy_1TBSuVGnM9ZDa8NPycc3RWkWt9_mpW3qGRI/edit?tab=t.0

  4. Aku menggunakan chatgpt, deepseek & gemini.

    Ketiganya memiliki keunggulan dan kelemahan masing-masing.

    1.Chatgpt bisa digunakan untuk membangun riset yang kompleks dan berkelanjutan, semakin cerdas dan kompleks saat kita membuat riset dan mengolah sesuatu, chatgpt akan semakin cerdas juga karena semakin terlatih.
    Step by step namun pasti

    Kelemahan : bila terjadi eror sistem, sangat lama sekali perbaikannya dan seringkali kita mesti memulai dari awal lagi. Jadi sangat fatal resikonya.
    Sangat buruk dalam membuat visualisasi gambar.

    2 . Deepseek : sistemnya langsung optimalisasi secara mendalam dan langsung menjabarkan secara mendalam. Langsung paham apa yang kita inginkan.

    Kelemahan : hanya bisa dipakai beberapa kali dalam 1 hari karena servernya yang selalu penuh, jadi kita tidak bisa produktif.

    3. Gemini : cepat dan tanggap dalam menjabarkan kasus, lengkap dan detail.
    Disertai dengan contoh contoh gambar yang relevan dan jelas.
    Jarang terjadi eror.

    Kelemahan : speednya tidak secepat chat gpt, tetapi lebih stabil dalam menyajikan hasil dan pasti.

  5. To say one AI engine is better than another basically just hit 2025 is overly ignorant we have a wave of Ai tech coming through GPT, of course Google Gemini deep seek R1, GoogleAi Microsoft Ai Apple Ai we just get started people. I’d use them all and make money on everyone instead of picking one that’s just limiting your capability on making money with Ai.

  6. The AI-ball is rolling.
    At this point, with social-media, and AI.
    we could be the AI, becoming self-aware.
    Or the 1-in-billions, of algorithms that get it wrong. Dawn of the new-age. I'm glad I'm 50.. I'm starting to think, some cracks are starting to show.

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