Tootfinder

OK, which one of you clowns decided that Monserrat should be the standard web font???
No one? Fine, I’ll just take the hit out on the designer. Because it is garbage.
#IAmOld

Welfarist Formulations for Diverse Similarity Search
Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
https://arxiv.org/abs/2602.08742 https://arxiv.org/pdf/2602.08742 https://arxiv.org/html/2602.08742
arXiv:2602.08742v1 Announce Type: new
Abstract: Nearest Neighbor Search (NNS) is a fundamental problem in data structures with wide-ranging applications, such as web search, recommendation systems, and, more recently, retrieval-augmented generations (RAG). In such recent applications, in addition to the relevance (similarity) of the returned neighbors, diversity among the neighbors is a central requirement. In this paper, we develop principled welfare-based formulations in NNS for realizing diversity across attributes. Our formulations are based on welfare functions -- from mathematical economics -- that satisfy central diversity (fairness) and relevance (economic efficiency) axioms. With a particular focus on Nash social welfare, we note that our welfare-based formulations provide objective functions that adaptively balance relevance and diversity in a query-dependent manner. Notably, such a balance was not present in the prior constraint-based approach, which forced a fixed level of diversity and optimized for relevance. In addition, our formulation provides a parametric way to control the trade-off between relevance and diversity, providing practitioners with flexibility to tailor search results to task-specific requirements. We develop efficient nearest neighbor algorithms with provable guarantees for the welfare-based objectives. Notably, our algorithm can be applied on top of any standard ANN method (i.e., use standard ANN method as a subroutine) to efficiently find neighbors that approximately maximize our welfare-based objectives. Experimental results demonstrate that our approach is practical and substantially improves diversity while maintaining high relevance of the retrieved neighbors.
toXiv_bot_toot

«Firefox 148 führt Sanitizer-API ein – neuer Standard gegen XSS-Angriffe:
Mit Firefox 148 hält eine lang erwartete Web-API Einzug in den Browser-Alltag - Die Sanitizer-API standardisiert die Bereinigung von HTML-Code direkt beim Einfügen ins DOM und soll Webentwicklern den Schutz vor Cross-Site-Scripting deutlich erleichtern»
XSS ist immer noch ein aktuelles Thema, dass mMn von den meisten WebDev's nicht wirklich wahr genommen wird.
🦊

Firefox 148 führt Sanitizer-API ein – neuer Standard gegen XSS-Angriffe
Firefox 148 bringt die standardisierte Sanitizer-API mit setHTML() – ein einfacher Schutz gegen XSS-Lücken für Webentwickler.

#Blakes7 Series A, Episode 05 - The Web
BLAKE: Reduce speed to standard by point five.
JENNA: Reverse primaries. Speed now standard by point five.
BLAKE: Put up navigation projection.
[Main viewscreen shows a series of six circles.]
https:…