Tootfinder

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Yubo Li, Weiyi Song
https://arxiv.org/abs/2509.12179 https://arxiv.org/pd…

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Current AI alignment through RLHF follows a single directional paradigm that AI conforms to human preferences while treating human cognition as fixed. We propose a shift to co-alignment through Bidirectional Cognitive Alignment (BiCA), where humans and AI mutually adapt. BiCA uses learnable protocols, representation mapping, and KL-budget constraints for controlled co-evolution. In collaborative navigation, BiCA achieved 85.5% success versus 70.3% baseline, with 230% better mutual adaptation an…

In der #Ostsee treten derzeit vermehrt #Blaualgen auf.
Die sogenannte #Algenblüte wird durch hohe Temperaturen und Überdüngung begünstigt.
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Die Gründe für Algenblüte in der Ostsee
Die Ostsee wird von Landwirtschaft und Klimawandel aus dem Gleichgewicht gebracht. Die sommerliche Algenblüte zeigt: Der Einlass von Dünger muss weniger werden.

Abundant Aligned
Great Australian Pods Podcast Directory: #GreatAusPods

Biles, SGA, Eagles capture top honors at ESPYS https://www.espn.com/espn/story/_/id/45759152/biles-gilgeous-alexander-eagles-win-top-honors-2025-espys

KI statt Models: Otto spart bei der Produktfotografie
Mit einem eigenen KI-Tool will Otto neue Kollektionen schneller und günstiger in den Verkauf bringen. Otto folgt einem allgemeinen Trend in der Branche.
https://www…

Trump sues The New York Times for $15 billion, alleging defamation and libel
https://www.cnbc.com/2025/09/16/trump-to-sue-new-york-times-for-15-billion-alleging-defamation-and-libel-.html

🇺🇦 #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

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
Xiaoqing Chen, Siyang Li, Dongrui Wu
https://arxiv.org/abs/2507.11911 https://

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
Electroencephalogram (EEG) decoding models for brain-computer interfaces (BCIs) struggle with cross-dataset learning and generalization due to channel layout inconsistencies, non-stationary signal distributions, and limited neurophysiological prior integration. To address these issues, we propose a plug-and-play Alignment-Based Frame-Patch Modeling (AFPM) framework, which has two main components: 1) Spatial Alignment, which selects task-relevant channels based on brain-region priors, aligns EEG…

Graney: Raiders offense stinks up Allegiant Stadium in defeat https://www.reviewjournal.com/sports/sports-columns/ed-graney/graney-raiders-offense-stinks-up-allegiant-stadium-in-defeat-3461430/

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…