# Apr 27, 2025

### Unauthorized AI Experiment
Researchers from the University of Zurich conducted an **unauthorized study** on CMV users, deploying AI-generated comments to assess their **persuasiveness** without prior disclosure or consent, violating community rules.

### LLMs can see and hear without any training
**MILS enables LLMs to process visual and auditory data without prior training**, showcasing a significant advancement in cross-modal learning capabilities.

### How NASA Is Using Graph Technology and LLMs to Build a People Knowledge Graph
**NASA's People Knowledge Graph** leverages **graph databases** and **large language models (LLMs)** to enhance people analytics, enabling real-time insights into expertise, project similarities, and skill gaps across the agency.

### CosAE: Learnable Fourier Series for Image Restoration
**CosAE** (Cosine Autoencoder) innovatively combines **Fourier series** with a feed-forward neural network, enabling **extreme spatial compression** while preserving image detail during restoration.

### Intuition behind Load-Balancing Loss in the paper OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER
The **Load-Balancing Loss** in the paper "OUTRAGEOUSLY LARGE NEURAL NETWORKS" aims to ensure that all experts in a **sparsely-gated mixture-of-experts** model are utilized effectively, preventing any single expert from becoming overloaded while others remain underused.

### Research Paper and Presentation about Multi-Agent Reinforcement Learning
**Multi-Agent Reinforcement Learning (MARL)** focuses on competitive Game AI, requiring a nuanced understanding of game models like **Stochastic Games** and **Partial Observable Stochastic Games (POSG)** to effectively capture its complexities.