Tootfinder

Filings: Meta spent the most on US lobbying in Q3, spending $5.8M, followed by Amazon, Google, Apple; Anthropic, Nvidia, and a16z hit $1M for the first time (Ashley Gold/Axios)
https://www.axios.com/2025/10/21/tech-lobbying-insights-q3

Meta tops spending again as AI lobbying heats up
Big Tech companies are still outspending companies focusing purely on AI and hardware.

Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
Lei Hei, Tingjing Liao, Yingxin Pei, Yiyang Qi, Jiaqi Wang, Ruiting Li, Feiliang Ren
https://arxiv.org/abs/2509.21151

Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
Relation extraction (RE) aims to identify semantic relations between entities in unstructured text. Although recent work extends traditional RE to multimodal scenarios, most approaches still adopt classification-based paradigms with fused multimodal features, representing relations as discrete labels. This paradigm has two significant limitations: (1) it overlooks structural constraints like entity types and positional cues, and (2) it lacks semantic expressiveness for fine-grained relation und…

Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Seongeun Ryu, Yunyong Ko, Sang-Wook Kim
https://arxiv.org/abs/2508.13064 https:/…

Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Personalized news recommendation aims to deliver news articles aligned with users' interests, serving as a key solution to alleviate the problem of information overload on online news platforms. While prior work has improved interest matching through refined representations of news and users, the following time-related challenges remain underexplored: (C1) leveraging the age of clicked news to infer users' interest persistence, and (C2) modeling the varying lifetime of news across topics and us…

Post-leave burnout recovery, week 2:
Lots of mixed feelings in returning to work. I really missed my team and my job. Work and the work schedule are each somewhat helpful for recovery. 1:1s with reports and partnerships are a strong highlight of my week!
Motivation while recovering from the tail end of burnout is hard for some types of work as a manager. Burnout makes motivation hard as it is, and lack of context on what's going on makes that harder, and both of those exacerba…