I have the feeling I’ve been rather slow on this, but I only just discovered TechMeme. It’s like Google News – but for blog posts. So this morning, you can see that the most hotly debated item on blogs right now is Twitter. As Karoli sarcastically notes, “It really doesn’t take much to catch up on the geek feeds because the only topic I see over and over and over again is Twitter.” TechMeme shows you which blogs are writing about it and excerpts from the sort of things they’re writing. It’s a wonderful idea, and I’m looking forward to seeing how it works over time.
 


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

3 thoughts on “TechMeme – google news for blogs

  1. Raymond M. Kristiansen

    I used to really like techmeme, but after a while I found just how much of an echo chamber it might be. Apparently, at an earlier time techmeme was – more or less – based on Robert Scoble’s opml file. Yes, an oversimplification, but still, it shows what crowds techmeme is by and for.

    Techmeme (for tech news) and memeorandum.com (politics) are two prototypes, though. I would love to see similar meme systems for academic blogging about – for instance – virtual worlds. Then you could once in a while just scan that one page to get a small overview of what was going on.

  2. Robert Scoble

    Twitter isn’t on the home page anymore. And my original OPML feed probably only is 3% of what shows up on TechMeme anymore.

  3. Jill

    Oy, I hadn’t even realised TechMeme started from your OPML feed, Robert – though it was seeing your Twitter this morning about Twitter being all over TechMeme that made me look at it. I might need to read more about it. And yes, Raymond, I like the idea of an academic version of one – though would that work, making a specialised one? Hm, might have to read about how it works.

Leave A Comment

Recommended Posts

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]

Don’t do a systematic review if you’re in the humanities

This paper is a great example of why you probably shouldn’t use a systematic literature review for a theoretical and conceptual research question like “How does artificial intelligence affect the perception of authenticity and aura in art?” However, if you’re looking for an annotated list of 48 recent articles about […]