Tootfinder

Ach, zo'n goede zangeres en zo'n fijn mens ook.
De Amerikaanse Roberta Alexander (1949-2025) was een van de gezichts­bepalende zangeressen van Nederland
De Amerikaanse Roberta Alexander (1949-2025) was een van de gezichts­bepalende zangeressen van Nederland

Abundant Aligned
Great Australian Pods Podcast Directory: #GreatAusPods

NIH specifies how grant reviewers should ensure alignment with Trump priorities (Anil Oza/STAT)
https://www.statnews.com/2025/12/15/nih-specifies-how-grant-reviewers-should-ensure-alignment-with-trump-priorities/
http://www.memeorandum.com/251215/p125#a251215p125

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Celia Cruz:
🎵 Yo viviré (I Will Survive) (Azúcar Para Ti remix)
#CeliaCruz
https://alejandropofficial01.bandcamp.com/track/celia-cruz-yo-vivir-i-will-survive-alejandro-pe-aloza-david-lopez
https://open.spotify.com/track/2btnzgT8ARxKjcdOTdqj37

The US FTC, along with 21 states and DC, files an amended complaint against Uber, alleging deceptive billing and cancellation practices related to Uber One (Reuters)
https://www.reuters.com/world/us-ftc-21-states-file-…

The Anatomy of Alignment: Decomposing Preference Optimization by Steering Sparse Features
Jeremias Ferrao, Matthijs van der Lende, Ilija Lichkovski, Clement Neo
https://arxiv.org/abs/2509.12934

The Anatomy of Alignment: Decomposing Preference Optimization by Steering Sparse Features
Aligning large language models is critical for their usability and safety. However, the prevailing approach of Reinforcement Learning from Human Feedback (RLHF) induces diffuse, opaque parameter changes, making it difficult to discern what the model has internalized. Hence, we introduce Feature Steering with Reinforcement Learning (FSRL), a transparent alignment framework that trains a lightweight adapter to steer behavior by modulating interpretable features from a Sparse Autoencoder (SAE). Fi…

Alaskan MAGA doctor self-immolates after child porn charge - National Zero
https://nationalzero.com/2025/12/16/alaskan-maga-doctor-self-immolates-after-child-porn-charge/

TFANet: Three-Stage Image-Text Feature Alignment Network for Robust Referring Image Segmentation
Qianqi Lu, Yuxiang Xie, Jing Zhang, Shiwei Zou, Yan Chen, Xidao Luan
https://arxiv.org/abs/2509.13070

TFANet: Three-Stage Image-Text Feature Alignment Network for Robust Referring Image Segmentation
Referring Image Segmentation (RIS) is a task that segments image regions based on language expressions, requiring fine-grained alignment between two modalities. However, existing methods often struggle with multimodal misalignment and language semantic loss, especially in complex scenes containing multiple visually similar objects, where uniquely described targets are frequently mislocalized or incompletely segmented. To tackle these challenges, this paper proposes TFANet, a Three-stage Image-T…

Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
Jianfeng Zhu, Julina Maharjan, Xinyu Li, Karin G. Coifman, Ruoming Jin
https://arxiv.org/abs/2509.13244

Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
Large Language Models (LLMs) are increasingly deployed in roles requiring nuanced psychological understanding, such as emotional support agents, counselors, and decision-making assistants. However, their ability to interpret human personality traits, a critical aspect of such applications, remains unexplored, particularly in ecologically valid conversational settings. While prior work has simulated LLM "personas" using discrete Big Five labels on social media data, the alignment of LLMs with co…