Tootfinder

Finally got back to my woodworking (on the hottest weekend of the year 😁). The second corner post is made and the table frame will finally stand up (with assistance from the work bench 🤣).
I have two more plus a cross member going front to back.
The top was done back in January.
#woodworking

Exploring the Use of LLMs for Requirements Specification in an IT Consulting Company
Liliana Pasquale, Azzurra Ragone, Emanuele Piemontese, Armin Amiri Darban
https://arxiv.org/abs/2507.19113

Exploring the Use of LLMs for Requirements Specification in an IT Consulting Company
In practice, requirements specification remains a critical challenge. The knowledge necessary to generate a specification can often be fragmented across diverse sources (e.g., meeting minutes, emails, and high-level product descriptions), making the process cumbersome and time-consuming. In this paper, we report our experience using large language models (LLMs) in an IT consulting company to automate the requirements specification process. In this company, requirements are specified using a Fun…

FBI's controversial Trump-Russia actions predicted with 'alarming specificity' by foreign actors: Sources (Brooke Singman/Fox News)
https://www.foxnews.com/politics/fbis-controversial-trump-russia-actions-predicted-alarming-specificity-foreign-actors-sources
http://www.memeorandum.com/250728/p104#a250728p104

There was somebody fussing in my replies to my last link to my blog post about Medium (I don’t see them now; they probably blocked me, but their specific words don’t really matter), and the gist of their message was that they didn’t like that site. On the modern internet, if you have an issue with content written by humans, with no surveillance ads, that doesn’t allow AI scraping or AI slop content, with a business model that makes money… I don’t know how to help you. Honestly.

#photography #bloomScrolling #iris

A Truly Subcubic Combinatorial Algorithm for Induced 4-Cycle Detection
Amir Abboud, Shyan Akmal, Nick Fischer
https://arxiv.org/abs/2507.18845 https://arxi…

A Truly Subcubic Combinatorial Algorithm for Induced 4-Cycle Detection
We present the first truly subcubic, combinatorial algorithm for detecting an induced $4$-cycle in a graph. The running time is $O(n^{2.84})$ on $n$-node graphs, thus separating the task of detecting induced $4$-cycles from detecting triangles, which requires $n^{3-o(1)}$ time combinatorially under the popular BMM hypothesis. Significant work has gone into characterizing the exact time complexity of induced $H$-detection, relative to the complexity of detecting cliques of various sizes. Prior…

Towards Domain Specification of Embedding Models in Medicine
Mohammad Khodadad, Ali Shiraee, Mahdi Astaraki, Hamidreza Mahyar
https://arxiv.org/abs/2507.19407 https://

Towards Domain Specification of Embedding Models in Medicine
Medical text embedding models are foundational to a wide array of healthcare applications, ranging from clinical decision support and biomedical information retrieval to medical question answering, yet they remain hampered by two critical shortcomings. First, most models are trained on a narrow slice of medical and biological data, beside not being up to date in terms of methodology, making them ill suited to capture the diversity of terminology and semantics encountered in practice. Second, ex…

Here's an ad that Google Opal created for #rstats #spanishoddata https://ropenspain.github.io/spanishod

Healthy European peatlands require specific temperature and water level parameters #Europe

Healthy European peatlands require specific temperature and water level parameters
Efforts to enhance peat accumulation in European peatlands, which contain around half of Europe's soil carbon, will require a combination of warm temperatures and a specific depth of the water table, according to a study published in PLOS One by Graeme Swindles of Queen's University Belfast, U.K. and colleagues.

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
Xinye Tang, Haijun Zhai, Chaitanya Belwal, Vineeth Thayanithi, Philip Baumann, Yogesh K Roy
https://arxiv.org/abs/2506.20815

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
LLM-powered applications are highly susceptible to the quality of user prompts, and crafting high-quality prompts can often be challenging especially for domain-specific applications. This paper presents a novel dynamic context-aware prompt recommendation system for domain-specific AI applications. Our solution combines contextual query analysis, retrieval-augmented knowledge grounding, hierarchical skill organization, and adaptive skill ranking to generate relevant and actionable prompt sugges…