Tootfinder

A look at the potential future of personalized, AI-generated entertainment, and how it could both submerge human originality and enable new forms of expression (Joshua Rothman/New Yorker)
https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-cu…

A.I. Is Coming for Culture
We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination?

A look at the potential future of personalized, AI-generated entertainment, and how it could both submerge human originality and enable new forms of expression (Joshua Rothman/New Yorker)
https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-cu…

A.I. Is Coming for Culture
We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination?

Why Are Parsing Actions for Understanding Message Hierarchies Not Random?
Daichi Kato, Ryo Ueda, Yusuke Miyao
https://arxiv.org/abs/2506.22366 https://

Why Are Parsing Actions for Understanding Message Hierarchies Not Random?
If humans understood language by randomly selecting parsing actions, it might have been necessary to construct a robust symbolic system capable of being interpreted under any hierarchical structure. However, human parsing strategies do not seem to follow such a random pattern. Why is that the case? In fact, a previous study on emergent communication using models with hierarchical biases have reported that agents adopting random parsing strategies$\unicode{x2013}$ones that deviate significantly …

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

Protect your email privacy – Start now with Proton Mail

Just a reminder that autocracies always implement broad surveillance methods in order to identify and punish resistance. Surveillance can take many forms including the capture of your email messages and attachments. Take action now to create ways to communicate privately with your family, friends and colleagues. Options that are available today can quickly disappear.

I suggest that you install and start using Pro…

Going out for some pond building parts but had to take a break at the cΓuumaʕas river (su-u-ma-as) to watch the fishers coming in from a morning of sockeye salmon fishing. 🎣
Lots of sounds of Bald Eagles in the distance. Probably in the trees across the river looking for a fish to snatch up.
check out the pro trailer parking with the offset stalls. 😂 🅿️
#portalberni #poolpond

ESPN: Cowboys entertaining trade offers for Parsons, resolution coming soon https://cowboyswire.usatoday.com/story/sports/nfl/2025/08/28/espn-cowboys-entertaining-parsons-trade-offers-resolution-soon/858666670…

Learning-Based Hybrid Neural Receiver for 6G-V2X Communications
Osama Saleem, Mohammed Alfaqawi, Pierre Merdrignac, Abdelaziz Bensrhair, Soheyb Ribouh
https://arxiv.org/abs/2506.21983

Learning-Based Hybrid Neural Receiver for 6G-V2X Communications
Neural receiver models are proposed to jointly optimize multiple functionalities of wireless receivers; however, a comprehensive receiver model that replaces the entire physical layer blocks has not yet been presented in the literature. In this work, we introduce a novel hybrid neural receiver (H-NR) built on Transformer encoder blocks and Graph Neural Network (GNN), as part of an end-to-end wireless communication framework. In our communication framework, we assume vehicle to network (V2N) upl…

IntentFlow: Interactive Support for Communicating Intent with LLMs in Writing Tasks
Yoonsu Kim, Brandon Chin, Kihoon Son, Seoyoung Kim, Juho Kim
https://arxiv.org/abs/2507.22134

IntentFlow: Interactive Support for Communicating Intent with LLMs in Writing Tasks
While large language models (LLMs) are widely used for writing, users often struggle to express their nuanced and evolving intents through prompt-based interfaces. Intents -- low-level strategies or preferences for achieving a writing goal -- are often vague, fluid, or even subconscious, making it difficult for users to articulate and adjust them. To address this, we present IntentFlow, which supports the communication of dynamically evolving intents throughout LLM-assisted writing. IntentFlow …

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Ruiyang Hao, Haibao Yu, Jiaru Zhong, Chuanye Wang, Jiahao Wang, Yiming Kan, Wenxian Yang, Siqi Fan, Huilin Yin, Jianing Qiu, Yao Mu, Jiankai Sun, Li Chen, Walter Zimmer, Dandan Zhang, Shanghang Zhang, Mac Schwager, Wei Huang, Xiaobo Zhang, Ping Luo, Zaiqing Nie
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Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing driving safety by providing visibility beyond the line of sight. However, integrating multi-source sensor data from both ego-vehicles and infrastructure under real-world constraints, such as limited communication bandwidth and dynamic environments, presents significant technical challenges. To facilitate research in this…