Hm, re: Literature Searching and AI
pubmed.ncbi.nlm.nih.gov/4257…
Not sure I agree with the esteemed authors.
Alexandra #Eala records her SIXTH top 10 win of the season, beating Elina Svitolina, and sets the tennis court alight with her incredible talent .....and her heart of gold 💛 #WTA #AlexEala #MubadalaDCOpen
Automated indexing in MEDLINE (scoping review). Happy to chat about any of the topics. Skip to the good part(s)! #medlibs
jmla.mlanet.org/ojs/jmla/art…
BC Nurses - Job Action, July 8th
Re: the UBC Biomedical Branch Library at VGH and the Diamond Centre is closed until further notice. Feel free to slip into dms or via email [email protected]
Hours updates for the library can be viewed here:
hours.library.ubc.ca/#view-b…
Remembering Keith Bunnell (KB) (1951-2026):
He was a dear friend, colleague, UBC reference and collections librarian. One of the first librarians I came to know from the time I arrived in Vancouver as an 18 year old. His memory is a blessing. padlet.com/dean_giustini1/re…
Incredible goal by Canada's Stephen Eustáquio🇨🇦, from Leamington, Ontario. If you want to do something life-changing, score for your country in the last minutes of the elimination round of #FIFAWorldCup. Thrilling!
Cogent, precise insight. The goal is to sow chaos, to bully, 🇨🇦 destabilize and weaken the country. Our PM understands this and is doing everything to counter it.
Excellent thread. Information retrieval will always collapse with the gradual distortion towards AI slop. Many of the insights in this 2026 arXiv paper are worth considering in the context of RAG-powered AI ....
You have noticed that too. Google Search is getting worse. The results look professional but say nothing. The answers are longer but less useful. Every page reads like it was written by the same voice.
You thought Google was broken. It is not broken. It is being replaced.
Researchers published a paper at the ACM Web Conference 2026 proving what is happening. They call it Retrieval Collapse.
Here is the mechanism in one sentence. AI-generated content is flooding the internet so fast that search engines are now showing you mostly AI-written pages. And the search engine cannot tell the difference.
They ran a controlled experiment. They started with a pool of real, human-written web pages. Then they gradually added AI-generated content until it made up 67% of the pool.
By that point, over 80% of the top search results were AI-generated. Not 67%. Over 80%. The ranking algorithm did not just let AI content in. It preferred it. The AI-written pages were better optimized, more fluent, and more keyword-rich than the human pages. They outranked the originals.
Here is the part that makes this invisible.
Answer accuracy stayed the same. The search results still looked correct. The information was still technically right. If you measured quality by accuracy alone, nothing appeared wrong.
But source diversity collapsed. Nearly every result came from the same type of content. AI-written. AI-optimized. AI-structured. The human-written pages, the ones with original reporting, personal experience, and genuine expertise, were buried.
The researchers describe a two-stage collapse. Stage one is Dominance. High-quality AI content silently takes over the top results. Everything looks fine. Accuracy is stable. Nobody notices. Stage two is Corruption. Once AI dominates the pipeline, adversarial and low-quality content starts slipping through. By then, the system is too dependent on synthetic sources to course-correct.
A separate analysis found that 74.2% of newly published web pages now contain AI-generated content. Organic click-through rates on pages with AI summaries have dropped 61%. The human internet is being outranked by the machine internet.
Model Collapse described what happens when AI trains on AI. The models get dumber. Retrieval Collapse describes what happens when search engines index AI. The results get emptier.
Both are happening right now. At the same time. And neither one looks broken from the outside.
The search engine still returns ten blue links. The links still load. The pages still answer your question. But the thing that used to make those answers trustworthy, a human who actually knew something, is being quietly replaced by a machine that sounds like it does.
Top Ten (10) Entries by Views
Automated indexing 61,717
AI Glossary of terms 57,383
AI Search Tools Used in Literature Reviews and Comprehensive Searching 44,717
AI Copyright Lawsuits 39,498
Perplexity 37,787
Open Evidence 37,026
AI Intro 35,971
wiki.ubc.ca/User:DeanGiustin…
1/2
Undermind ai 34,922 Prompt engineering 32,839 Expert searching 32,827 Consensus 32,349 Algorithms 32,208 wiki.ubc.ca/Knowledge_Synthe…
Consider contributing a small amount in memory of our wonderful friend, mentor and teacher, Ronald Hagler. A Ronald Hagler Prize will be given to a librarian or archivist pursuing a career in cataloguing, metadata creation or book history. Read more here:
ischool.ubc.ca/news/in-honou…
1,000,000 views. Yup, one (1) million.
wiki.ubc.ca/Knowledge_Synthe…
Don't let anyone tell you "No, it can't be done that way"
How are researchers using AI to perform / supplement traditional GL searching?
"...Such approaches are generally intended to complement traditional grey literature search methods rather than replace them. AI tools may be particularly useful where..."
wiki.ubc.ca/Artificial_intel…
Moltbook is a new Artificial intelligence (AI)-only social network... URL: moltbook.com where software agents post, comment, and vote creating discussions that resemble human activity. I consider the implications of the new social network here: wiki.ubc.ca/Moltbook
Our scoping review on MEDLINE indexing manuscript was submitted but I generated this handy infographic via #Copilot @Copilot based on abstract. 🗂️
Note: Implications for librarians #algorithmic effects in #MEDLINE #medlibs
"Louder Singing" appeals to me. Less "Doom Scrolling" on X.com is definitely up on the list 🤣
Reporting guidelines in medicine in the AI era!
Here's CHART 2025 and summarized on my wiki:
wiki.ubc.ca/Chatbot_Assessme…
CHART is "..designed for studies that evaluate generative-AI chatbots when used to summarize clinical evidence or to provide health advice"🍁 #librarians #medlibs
Things are getting festive around here...early! 🍁🎅
Ah well, no time like today to have a good time with the books in the library (medical journals I mean!)🎄
ps. Well, at least Facebook hasn't completely torqued down my social media account. 2 likes? c'mon x.com
















