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Excellent introduction to Wikipedia editing by @molly0xfff

https://www.youtube.com/watch?v=bRRHR1NEOqE

Inspired by Simon Willison, Molly White, Matt Webb and other long-term bloggers, I'm porting judithvanstegeren.com to the 'baked data' pattern. Expect more cross-linking, semantic post types and much better archives. I'm using Django Admin as a CMS to remove some of the friction around writing and publishing. If anything looks weird or broken, let me know.

Maybe I'm finished in time for #NaNoWriMo 👀

"[...] proof-production can become completely decoupled from any form of proof-comprehension, and where this dehumanized proof-production process becomes increasingly tied with an arms race for computing resources. I think this is unsustainable on many levels, and it is also simply not the future that I wish for our community and for our shared mathematical practice."

https://proofsandprompts.com/2026/10/08/100-reactions-to-100-solutions/

Proofs and Prompts 100+ reactions to 100+ solutions “We are all grappling with the announcement of 6 October. We think that it is useful to have a snapshot of the community’s gut feeling today, and this is what you see below. We will keep it o…

LLMs like reading pretty HTML and not llms.txt.

https://evilmartians.com/chronicles/which-ai-actually-reads-your-site-two-months-of-llm-traffic-measured

evilmartians.com Which AI actually reads your site? Two months of LLM traffic, measured—Martian Chronicles, Evil Martians’ team blog We told you to measure. So of course we did it ourselves too: two months of server-side LLM traffic to evilmartians.com. Find out which agents read HTML, which read Markdown, what llms.txt actually does, and the one technique that got zero hits.

The TvTropes wiki is one of the most densely-linked and addictive places on the internet I know. How do you write a TvTropes lemma, and how does the site keep its community on track? I'm reading their contribution guidelines, and it's really interesting!

https://tvtropes.org/pmwiki/pmwiki.php/Administrivia/TLPGuidelines

TV Tropes TLP Guidelines - TV Tropes The Trope Launch Pad, or TLP, is the area where all new tropes are proposed, workshopped, and launched into publication. While all of TV Tropes is a collaborative effort, TLP involves working with others much more closely than any other part of …

Someone jailbreaked Meta's Muse agent, and let it dump the contents of the agent's VM. Findings from the thread:
- Muse code and skills look like they've been written by Claude (Code)
- it mines user's connected services for detailed profiles of the user and their social graph every hour
- it tries to create a detailed shopping profile
- Muse has root in its VM so you can instruct it to run custom stuff (cryptominers, fediverse servers)

Very interesting thread:
https://neuromatch.social/@jonny/117324790823856750

RE: https://hachyderm.io/@vincentvdk/116854662958491633

"Rack studs" sounds like the sexy network engineer equivalent of "tech bros" 😁

Philosophical thought of the day: of all the things you feel you have to do in life, which ones are Self-Imposed Challenges?

https://tvtropes.org/pmwiki/pmwiki.php/Main/SelfImposedChallenge

TV Tropes Self-Imposed Challenge - TV Tropes Imagine you're a hardcore gamer. Like most gamers, you probably don't have unlimited funds, so every time you buy a new game, you want to get some real value out of your investment. In the old days, games were naturally Nintendo Hard and took a …

> The health of AI as a field thus depended on the ability of researchers to persuade deep-pocketed sponsors that spectacular success was just around the corner.

https://cacm.acm.org/opinion/there-was-no-first-ai-winter/

Doing a https://pi.dev deepdive today to learn more about its design and features. I expect to get more questions about creating custom harnesses for specific sectors/verticals in the near future...

https://mariozechner.at/posts/2025-11-30-pi-coding-agent/

Pi Coding Agent A terminal-based coding agent

@twilliability Apparently there's also a variation called TrustRank that's a bit like PageRank and a bit like Advogato. The paper is on my to read stack. ;)

"Up until now most search engine development has gone on at companies with little publication of technical details. This causes search engine technology to remain largely a black art and to be advertising oriented. With Google, we have a strong goal to push more development and understanding into the academic realm."

http://infolab.stanford.edu/~backrub/google.html

New blogpost: https://www.judithvanstegeren.com/blog/modeling-trust-on-the-ai-slop-web/

All that AI generated stuff is overwhelming the human-made Internet. Putting text on the internet is no longer proof-of-work. Because of this it has become very difficult for me to find good information. So I've been reading up on ways to deal with that.

@raph Cool work on Advogato!

TIL folly, "a building constructed primarily for decoration, but suggesting through its appearance some other purpose, or of such extravagant appearance that it transcends the range of usual garden buildings."

https://en.wikipedia.org/wiki/Folly

My favorite one is this: https://en.wikipedia.org/wiki/Orcus#/media/File:Bomarzo2013parco21.jpg

#architecture

Folly - Wikipedia

"Figure 2 shows a screen dump of an HTML document, being viewed through a commercial World Wide Web browser"

"One of the weaknesses of this browsing method is that users can easily become disoriented about where they are in the information space--an intra-document instance of the well-known "lost in hyperspace" problem."

From a 1995 paper of the Fourth International World Wide Web Conference 😍
https://www.w3.org/Conferences/WWW4/Papers/98/

After encountering some particularly bad AI slop today, I'm reading up on trust on the web.

https://www.schneier.com/blog/archives/2023/12/ai-and-trust.html

Reading Richard Hamming's The Art of Doing Science and Engineering. I'm only at 5%, but I've already read multiple thoughts that are helpful for interpreting the AI-driven changes to society.

"Robots used in manufacturing [...] produce a different product. [...]

It has rarely proved practical to produce exactly the same product by machines as we produced by hand.

Indeed, one of the major items in the conversion from hand to machine production is the imaginative redesign of an equivalent product."

"Thus in thinking of mechanizing a large organization, it won’t work if you try to keep things in detail exactly the same, rather there must be a larger give and take if there is to be a significant success. You must get the essentials of the job in mind and then design the mechanization to do that job rather than trying to mechanize the current version—if you want a significant success in the long run."