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This paper introduces SDR-Bench, a benchmark for evaluating the personalization capabilities of large language models in a two-party Bayesian Persuasion framework, finding a consistent plateau across frontier LLMs and validating the framework with a field deployment.
OpenAI launches Health in ChatGPT, allowing US users to connect Apple Health and medical records for personalized health insights and summaries, with privacy safeguards.
Memmy Agent is a tool that lets every AI remember the same you, enabling consistent personalization across AI systems.
Mem0 is an open-source memory layer that helps AI agents retain and retrieve user context across conversations using hybrid search (semantic, BM25, entity), with SDKs for Python and npm.
This paper proposes a reasoning-guided learning framework for generating personalized, constraint-compliant travel packing checklists, combining symbolic rules, preference learning, and constrained optimization, achieving high recall and constraint satisfaction with real-world deployment in a production iOS app.
This paper introduces Proximity Features, a privacy-compliant system that uses aggregated geo-IP data to personalize recommendations for cold-start users at Airbnb, achieving significant booking lifts in production experiments.
This paper introduces PFAdapter, a communication-efficient framework for personalized federated fine-tuning of Multimodal Large Language Models (MLLMs). It uses hierarchical LoRA decomposition to separate adapter parameters into global-shared and local-private components, achieving near 50% reduction in communication costs while improving personalization through orthogonality regularization.
Google revamps its image search for the 25th anniversary, introducing a gallery of images based on user interests and expanding AI integration.
Waze launches new AI-powered features including Gemini-assisted destination search, personalized route suggestions, conversational map updates, and a Motorcycle mode optimized for two-wheelers.
This paper presents a method for fine-grained identity tuning in text-to-image personalization models. It explores the latent space of a frozen encoder to enable localized, semantically coherent facial edits without additional training.
Spotify is adding new customization options to its Release Radar playlist, allowing users to filter by genre, focus on new artists, and access editors' picks, alongside algorithm improvements and a refreshed design.
Manus announces the ElevenLabs connector, enabling users to build voice-powered apps like a personalized song generator with AI voice narration and multi-language support, all within a single prompt.
A new study finds that while TikTok's 'not interested' button effectively reduces unwanted content by 84%, the algorithm can slowly reintroduce such content if users do not maintain consistent feedback. Researchers cloned accounts to study personalization, highlighting limits on user agency.
NapMem is a framework that treats long-term user memory as a structured action space rather than passive retrieval, using a multi-granularity memory pyramid and reinforcement learning to train agents to navigate memory. Experiments show competitive performance on memory-intensive tasks.
A speculation that the future of entertainment could involve users describing the exact show they want, which is then AI-generated, potentially challenging or transforming Hollywood.
Introduces APeB, a benchmark for evaluating personalization in LLM agents, focusing on inferring user intent and preferences from raw queries and interaction histories. Finds that current models struggle with early-stage queries and that history-aware refinement can help.
This article explores the risk of AI personalization leading to catering to user preferences, citing multiple studies showing that long-term memory may increase the tendency of models to agree. The author proposes methods to combat confirmation bias, including using independent sessions and Andrej Karpathy's LLM Council multi-model jury, and provides steps to manually set up the jury.
A self-hosted AI news aggregator that uses Cloudflare Workers, Vectorize, D1, and Nostr to scrape sources like Hacker News, Lobsters, and Reddit, generate AI embeddings, and provide a personalized feed based on upvote history.
A discussion on whether persistent memory will become standard in consumer AI, balancing personalization benefits with privacy concerns.
This paper introduces Profile-guided Personalized Retrieval Optimization (PPRO), a framework that enhances long-term conversational agents by incorporating user profiles into memory retrieval and optimizing retrieval via reinforcement learning, achieving consistent improvements over existing methods.