Tootfinder

«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.

The RSL Collective, backed by Ziff Davis, Yahoo, and others, launches RSL 1.0, to let publishers set licensing and compensation rules for AI web crawlers (Emma Roth/The Verge)
https://www.theverge.com/news/841222/rsl-licensing-ai-spec-launch

A pay-to-scrape AI licensing standard is now official
A licensing standard aimed at making AI companies pay for the content they scrape across the web is now official. With the publication of the RSL 1.0 spec, publishers can dictate licensing rules and indicate whether they want their content to appear in AI search.

#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:…

The RSL Collective, backed by Ziff Davis, Yahoo, and others, launches RSL 1.0, to let publishers set licensing and compensation rules for AI web crawlers (Emma Roth/The Verge)
https://www.theverge.com/news/841222/rsl-licensing-ai-spec-launch

A pay-to-scrape AI licensing standard is now official
A licensing standard aimed at making AI companies pay for the content they scrape across the web is now official. With the publication of the RSL 1.0 spec, publishers can dictate licensing rules and indicate whether they want their content to appear in AI search.

For the love of all you hold sacred.
Can we please adopt a UNIVERSAL standard for generating a new line in a web text box - sometimes its cmd-enter, sometimes its shift-enter sometimes you just can’t do it 😡
rest assured if you invoke the wrong key combo, there is a 99.999% probability that the form will be submitted with potentially disastrous results.

But i realised that say 50% of the web is unusable because of this choice to delete this certificate from the standard android 12.
Is this common with cheap (chinese) tablets? To have a different ca.certs installed?

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.
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