| Blog | https://musingsaboutlibrarianship.blogspot.com/ |
| ORCID | https://orcid.org/0000-0003-0159-013X |
| Google Scholar Profile | https://scholar.google.com/citations?user=F9_kHm0AAAAJ&inst=14102473421921925766 |
| works at | smu.edu.sg |
| Blog | https://musingsaboutlibrarianship.blogspot.com/ |
| ORCID | https://orcid.org/0000-0003-0159-013X |
| Google Scholar Profile | https://scholar.google.com/citations?user=F9_kHm0AAAAJ&inst=14102473421921925766 |
| works at | smu.edu.sg |

arXiv recently restricted review article submissions in computer science, requiring journal or conference acceptance before deposit. They noted specifically that the change was driven by an “unmanageable influx” and that LLMs made review/position papers “fast and easy to write,” and that many were “little more than annotated bibliographies.”
[Blogged] Why It's Harder Than Ever to Know What to Type Into an AI Search Bar. https://open.substack.com/pub/aarontay/p/the-blank-box-problem-why-its-harder
Edit: An earlier version of this included a NotebookLM generated image with 2 text sections with minor issues. I've fixed it.
Sorry about that. This is a good reminder to check properly even for low-stakes situations.

The recent addition of Consensus Deep Search mode is a great boost to its retrieval capabilities. On top of that, it has one of the most appealing interfaces out there, with color-coded references, and the Consensus Meter, for all its methodological faults, is likely to appeal to undergraduates and less advanced users. Add advanced pre-filters and LibKey integration to institutional full-text, and it is easy to guess this will be a hit for many users doing narrative literature reviews.