Tootfinder

Google says it has stopped charging Canadian advertisers a 2.5% surcharge after Canada rescinded the DST following President Trump's threats (Pippa Norman/Globe and Mail)
https://www.theglobeandmail.com/business/arti…

Google stops charging Canadian advertisers extra fee after digital services tax dropped
Amazon, which was also subject to tax, said it will wait until DST is officially rescinded before making any changes

Chinese game Revenge on Gold Diggers, one of the most popular and contentious video games in the country, sparks a debate over misogyny and male resentment (Li Yuan/New York Times)
https://www.nytimes.com/2025/07/17/busines

‘Who Killed Love?’ A Video Game Plays to Male Resentment in China.
A popular and contentious game, Revenge on Gold Diggers, sheds light on misogyny, inequality and the feeling among many men that they are economic victims.

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Evdoxia Taka, Debadyuti Bhattacharya, Joanne Garde-Hansen, Sanjay Sharma, Tanaya Guha
https://arxiv.org/abs/2506.14799

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Recent advances in AI has enabled automated analysis of complex media content at scale and generate actionable insights regarding character representation along such dimensions as gender and age. Past work focused on quantifying representation from audio/video/text using various ML models, but without having the audience in the loop. We ask, even if character distribution along demographic dimensions are available, how useful are they to the general public? Do they actually trust the numbers ge…

Sarah Maria Sander über Israel, das Mulllah-Regime, das iranische Volk und Europa.
100% Zustimmung meinerseits.
https://youtu.be/znqafXSKIjw?si=wMrd_f0nqwZg8exA

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine
Adarsh Gupta, Bhabesh Mali, Chandan Karfa
https://arxiv.org/abs/2506.13983 http…

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine
Recent advancements in the field of reasoning using Large Language Models (LLMs) have created new possibilities for more complex and automatic Hardware Assertion Generation techniques. This paper introduces SANGAM, a SystemVerilog Assertion Generation framework using LLM-guided Monte Carlo Tree Search for the automatic generation of SVAs from industry-level specifications. The proposed framework utilizes a three-stage approach: Stage 1 consists of multi-modal Specification Processing using Sign…

I installed #iOS26 on my personal phone for the first time (dev beta3) and hoooly moly the UI design is as bad as everyone has been saying—and worse. Frustrations in the first day: functional content viewports noticeably smaller on my Mini display; lower info density everywhere; buttons over photos completely illegible; diffraction effects incredibly distracting; low/no-contrast UI boundaries with…

Counting Answer Sets of Disjunctive Answer Set Programs
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel
https://arxiv.org/abs/2507.11655 https://

Counting Answer Sets of Disjunctive Answer Set Programs
Answer Set Programming (ASP) provides a powerful declarative paradigm for knowledge representation and reasoning. Recently, counting answer sets has emerged as an important computational problem with applications in probabilistic reasoning, network reliability analysis, and other domains. This has motivated significant research into designing efficient ASP counters. While substantial progress has been made for normal logic programs, the development of practical counters for disjunctive logic pr…

Continuously Updating Digital Twins using Large Language Models
Harry Amad, Nicol\'as Astorga, Mihaela van der Schaar
https://arxiv.org/abs/2506.12091 …

Continuously Updating Digital Twins using Large Language Models
Digital twins are models of real-world systems that can simulate their dynamics in response to potential actions. In complex settings, the state and action variables, and available data and knowledge relevant to a system can constantly change, requiring digital twins to continuously update with these changes to remain relevant. Current approaches struggle in this regard, as they require fixed, well-defined modelling environments, and they cannot adapt to novel variables without re-designs, or i…