Friday, October 24, 2025

SearchResearch (10/24/25): The shifting of SearchResearch

 I've noticed a subtle shift.  


The longer I write this blog, SearchResearch, the more changes I see.  Content on the web changes, the tools we use change--the whole ecology of writer, reader, producer, and consumer has dramatically shifted since I began writing back in January, 2010.  That was 15 years ago.  In Internet years, that's about 1500 years.  (I figure Internet years are about 100-to-1 with Human years.)  I've written 1478 posts and we've had 6.23 million reads. You have written around 10 comments / post, for which I thank you.  


In my first blog post I wrote: 

I have to warn you before you start reading: In the back of my head, I want something tangible to emerge from this. Ideally, a book, or a series of books, about how people search... how they research... and how they get good at doing this.

Congrats. We've done that.  The Joy of Search came out in 2019 to reasonable success.  I'm happy about how well it worked as a book.  

And I see that this blog is shifting a bit too.  

As you've seen, our typical pattern is that one week I'll pose a Challenge--usually a question about some interesting aspect of the world that requires using a particular research skill that you, dear reader, need to figure out.  Good news here, you figured out some deep skills.  

Some of my favorites have been skills like knowing Control-F (the skill of finding text),  using site: restriction (to search just within a particular website), or using deep resources like Google Books or the Newspaper archive.  

But with the rise of AI tools to help out with doing deep online research, it seems that our skills need to shift as well.  You still need Control-F, but I find myself using tools like site: less-and-less these days.  

So... I think we need to shift the way the SRS blog will operate.  As I wrote in 2010:  

When you think about it, search is not something you're born with--there's no inherent, latent skills for research (the way there is, say, for walking or spitting). Some people are really good at it, others just never quite get the basics. 

That's still really true--but more people know Control-F these days, and AI is doing a lot of the search-specific skill. 

HOWEVER... I still find myself using somewhat more subtle online research skills. The technical problem for this blog is that it's hard to frame the skills in terms of motivating Challenges.  So the blog is shifting a bit as well to try and communicate those sensemaking and deep research skills.  

I WILL pose interesting Challenges from time-to-time when I just can't resist their siren call, just not every other week as we've been doing.  

Instead, I want to point out some of the deep research skills we need to cultivate.  And that will require me telling stories, rather than posing a research Challenge.  

Bear with me as we try to figure out the new format.  I'm confident that we'll find something that's deeply interesting and fun.  Stay tuned as SRS starts a few experiments.  

In my next post I'm going to point you to some people who are writing about this new, AI-linked research methods.  That will be entitled, Key skills you need to have to be an effective online researcher and will be a collection of some posts by other folks who have good things to teach us as well.  


Stay tuned.  Keep reading, keep leaving comments.... 

And keep searching.  

 

9 comments:

  1. Thanks Dr Russell for the first SearchReSearch time. It evolves as everything in our world. I'll miss your Challenges and always will remember these 13 years discovering and learning with you and with all of us commenting.

    Also looking forward to keep learning with you. I arrived here in 2012 with your first MOOC. And since that day, life is much better finding, learning and being amazed with everything you shared, taught us and even more magical, connecting with our day to day life.

    I hope more people join us and keep searching and commenting

    ReplyDelete
  2. thinking about rainbows, storytelling and AI/search...
    https://i.imgur.com/gnC13EO.jpeg
    https://i.imgur.com/RIH5Hsg.jpeg
    https://youtu.be/D8RtMHuFsUw?si=hRWhuqTuJZCGVVWk

    Old ways softly fade,
    AI's light guides new deep search,
    Stories now unfold.


    " "It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change,"" Charles Darwin
    "we're not in Kansas (or Silicon Valley) anymore. Toto "
    幸運を祈ります

    ReplyDelete
  3. Gemini's take: pt.1
    "This is a fantastic and timely topic! As AI tools become more integrated into our research workflows, the "key skills" for effective online research are indeed shifting. It's less about memorizing complex search operators (though some still have their place) and more about strategic thinking, critical evaluation, and synergistic collaboration with AI.

    Here are some key skills for effective online research using AI:

    Prompt Engineering & Nuance Crafting:

    Description: This is arguably the most critical skill. It's the ability to formulate clear, precise, and context-rich prompts that guide the AI to understand your intent and retrieve (or generate) the most relevant and accurate information. It involves understanding how AI interprets language, using keywords effectively, specifying desired formats, and asking follow-up questions to refine results.

    Why it's key: A vague prompt yields vague results. Effective prompting unlocks AI's true potential.

    Critical Evaluation & Fact-Checking (AI Output & Sources):

    Description: AI can "hallucinate" or present plausible-sounding but incorrect information. Researchers must be vigilant in verifying AI-generated facts, claims, and summaries against reputable primary and secondary sources. This includes evaluating the AI's sources if provided, and assessing their credibility.

    Why it's key: AI is a tool, not an oracle. The ultimate responsibility for accuracy still rests with the human researcher.

    Source Diversification & Cross-Referencing:

    Description: Don't rely solely on AI for all information or on a single source it cites. Use AI to identify potential sources or synthesize initial findings, but then actively seek out and compare information from a wide range of human-curated and authoritative databases, academic papers, news archives, and traditional search engines.

    Why it's key: Reduces bias, increases reliability, and provides a more comprehensive understanding.

    Synthesizing & Sensemaking (Human-AI Collaboration):

    Description: AI is excellent at aggregating and summarizing vast amounts of data. The human skill lies in taking that raw output, identifying patterns, connecting disparate pieces of information, recognizing deeper implications, and constructing a coherent narrative or argument. It's about turning information into insight.

    Why it's key: AI handles data processing; humans provide the wisdom and contextual understanding.

    Understanding AI Limitations & Biases:

    Description: Recognizing that AI models are trained on historical data, which can embed biases (e.g., gender, racial, cultural). Understanding that AI lacks true comprehension, intent, and lived experience. Knowing when AI is likely to struggle (e.g., highly subjective topics, cutting-edge, niche, or rapidly evolving information without sufficient training data).

    Why it's key: Allows researchers to compensate for AI's weaknesses and use it appropriately.

    Ethical Awareness & Responsible Use:

    Description: Being mindful of intellectual property, copyright, potential for plagiarism, data privacy, and the ethical implications of using AI-generated content (e.g., deepfakes, misinformation). Properly attributing AI's role and using its outputs responsibly.

    Why it's key: Ensures academic integrity and ethical conduct in research."


    ReplyDelete
  4. pt.2:
    "Iterative Refinement & Adaptive Strategy:

    Description: Research with AI is rarely a one-shot process. It involves an iterative loop: prompt, review results, refine prompt, explore new avenues, switch tools if necessary, and continuously adapt the strategy based on what you're learning.

    Why it's key: Maximizes efficiency and effectiveness by leveraging AI's ability to quickly process feedback.

    Domain Expertise & Foundational Knowledge:

    Description: While AI can help explain complex topics, a solid foundational understanding of your research domain allows you to ask better questions, critically assess AI's answers, identify subtle errors, and derive meaningful conclusions that AI cannot.

    Why it's key: Expertise provides the human "guardrails" and interpretative power that AI lacks.

    In essence, the new landscape demands a shift from being a "search operator" to being an "AI conductor" and a "critical sensemaker." The human role becomes more about strategic guidance, ethical oversight, and profound interpretation, rather than mere information retrieval."

    ReplyDelete
  5. stellar search 10/29/25 - maybe AI didn't show in time... that could be a story
    https://youtu.be/J6rKTAG2HIA?si=H9vSmJcXaLAtSFAV

    ReplyDelete
  6. the Michio Kaku video posted above is all fake... just to show how AI is complicating things... along with flawed human rationalizations.
    "This channel is an independent, fan-created project with no official affiliation with Michio Kaku or any organizations he is associated with. The content is inspired by Dr. Kaku’s public lectures, interviews, and published works, and is reimagined solely for educational and inspirational purposes. A synthesized narration voice is used, and it does not represent Michio Kaku’s real voice.

    To create a more cinematic and immersive experience, we combine narrated commentary with precisely synchronized visuals. This approach helps make complex scientific ideas more engaging and accessible to a wider audience. Our goal is to convey Michio Kaku’s visionary insights on physics, humanity’s future, and the universe in a way that inspires curiosity and understanding."

    ReplyDelete
    Replies
    1. Thanks for updating us on this. I *thought* it looked fishy.

      Delete
    2. is that 3I/Atlas on the screens? and how did Michioknow who to talk to? Have you ever seen the 'deus fish'?https://i.imgur.com/ByPgTHc.jpegI had no 'spidey senses reaction' initially, but the site and the date irregularities made me wonder... I am rather tech gullible...
      thought this was the deus/Zeus fish -https://www.instagram.com/p/DMN-B0CzEsT/?img_index=1https://australian.museum/learn/animals/fishes/john-dory-zeus-faber/as you often say"  "доверяй, но проверяй"https://youtu.be/kknkNpYt3Rs?si=3FF8FtX0ZoF5wgFshttps://www.youtube.com/@CloserToTruthTV

      Delete
  7. I have learned so much from this blog and will continue to do so plus not only from your comments and challenges but from the responses and look forward to reading and participating in the future .

    ReplyDelete