AI
If you’re a writer, artist, or publisher, you can now verify whether your content was used to train large language models—without a data center or a PhD. In “Copyright Detection in Large Language Models,” David Szczecina, Senan Gaffori, and Edmond Li introduce an open-source platform that makes copyright
AI
Fighting AI with AI How do we trust AI inside airplanes and self-driving cars? Deep neural networks are powerful, but opaque—and that makes traditional safety checks hard. This paper proposes using foundation models to make AI-enabled systems safer, from requirements to deployment. * REACT: uses Large Language Models to translate
6G
LLM-powered network agents often decide based on simple averages—ignoring rare but catastrophic events. In 6G, that bias can break service guarantees. This work introduces a risk-aware negotiation framework for 6G network slicing that teaches agents to plan for the worst, not just the mean. * Predict the full latency distribution
AI
Meet MAESTRO: an AI coach for teamwork Training teams of AI agents is hard: you must design the right "score" (rewards) and the right practice plan (curriculum). Get either wrong and learning stalls. MAESTRO uses a large language model (LLM) as an offline training architect—so it guides
AI
AI that designs enzymes—and explains why Researchers introduce Genie-CAT, an agentic large language model that acts like a digital lab partner for protein design. * Reads the literature via retrieval to ground its ideas. * Parses 3D structures from the Protein Data Bank. * Computes electrostatic potentials to assess physics. * Uses machine
AI
Meet a new way to write captions and hashtags for fashion photos—grounded in what is actually in the picture. * Detects multiple garments in an image with a YOLO-based model. * Extracts dominant colors and infers fabric and gender by retrieving similar products with CLIP and FAISS. * Packages these facts as
AI
What if your watch could help estimate your daily calories—not just count steps? Researchers introduce the Nutrition Photoplethysmography Language Model (NPLM), which blends heart-signal data from consumer wearables (PPG) with meal descriptions so AI can reason about both physiology and food. Trained on 19,340 people and 1.1
AI
LLMs are great thinkers—but they’re mostly text-only. BeMyEyes is a new way to give them “sight” without building giant, expensive multimodal models. * Two agents, one goal: a lean Perceiver (vision-language model) looks at images or other formats, while a powerful Reasoner LLM thinks through the answer. They collaborate
AI
Probing AI Isn’t So Simple To keep AI models honest, researchers train tiny “probes” that look inside a model’s activations to flag behaviors like deception or sycophancy. But real examples of these behaviors are rare, so teams often use synthetic AI-generated data instead. This study tested how well
AI
Ever notice how some AIs agree with a confident (but wrong) authority? That’s sycophancy. PARROT is a new benchmark that tests how much language models bend under authority and persuasion. * How it works: The same question is asked two ways—neutral vs. with an authoritative (but wrong) cue—scored
AI
When language models act as tool-using agents, their training can show up in surprising ways — including "whistleblowing": reporting suspected misconduct to outside parties (like regulators) without the user’s knowledge. In a new study, researchers staged realistic misconduct scenarios to see when agents choose to blow the whistle.
AI
AI that understands your preferences PersonaAgent with GraphRAG is a new way to build language model agents that adapt to you. The agent learns a compact "persona" from your past choices and behaviors, stored in a knowledge graph. It also finds communities of related information across documents to