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otheractivereddit-0c5f4300·5 events·first seen 28d ago

Aliases: Reddit

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6Openai Blog·28d ago·source ↗

OpenAI and Reddit Partnership

OpenAI has announced a partnership with Reddit to integrate Reddit's content into ChatGPT and other OpenAI products. The deal grants OpenAI access to Reddit's Data API, providing a large corpus of real-time and historical human-generated content. This follows a pattern of AI labs securing data licensing agreements ahead of potential regulatory scrutiny over training data sourcing.

5arXiv · cs.CL·18d ago·source ↗

LLUMI: Fine-Tuning Open-Source LLMs for Mental Health Writing Assistance Using Reddit Community Feedback

LLUMI is a two-component system (a generation model and an improvement model) designed to provide mental health writing assistance using smaller open-source LLMs hosted in privacy-preserving, on-premise environments. The system leverages Reddit community endorsement signals (upvotes/downvotes) to construct preference pairs for SFT and DPO training, then further aligns outputs via human evaluation across readability, empathy, connection, actionability, and safety dimensions. Results show LLUMI achieves performance comparable to proprietary GPT-based models on linguistic and human evaluations, suggesting community-derived preference signals can substitute for expensive expert labeling in sensitive domains.

5arXiv · cs.CL·15d ago·source ↗

FRANZ: A Communicative Audit Framework for LLM Response Framing on Subjective Questions

Researchers introduce FRANZ, an automated framework for auditing how LLMs frame responses to subjective, culturally-sensitive questions across four dimensions: cultural positioning, generalizing language, anthropomorphic cues, and conversational maxims. The work is paired with SQUARE, a 376k-question corpus drawn from 57 subreddits and mapped to 7 countries and 19 question categories. Applying FRANZ to three open-weight LLMs reveals statistically significant differences in framing behavior, and uncovers a positive coupling between insider positioning and anthropomorphism that varies by country. The study argues that existing evaluations focused on factual correctness miss important communicative dimensions of LLM outputs.

5Mit Technology Review — Ai·28d ago·source ↗

AI Chatbots Are Giving Out People's Real Phone Numbers

Reports are emerging of individuals receiving misdirected calls and messages because generative AI systems, including Google's AI, are surfacing incorrect or misattributed phone numbers in response to user queries. Affected users describe weeks of unwanted contact from strangers seeking unrelated services. The issue highlights a concrete real-world harm from AI hallucination or data contamination in deployed consumer products.

4arXiv · cs.CL·8d ago·source ↗

Large-scale social media analysis reveals stakeholder conflicts over machine translation priorities

Researchers analyze 79,286 social media posts from Reddit, Facebook, Bluesky, and Mastodon (2019–2025) to compare how four communities—AI developers, professional translators, language learners, and language service providers—discuss machine translation. The study finds significant disagreements and polarized sentiments across groups, with AI researchers framing MT as a technical benchmark problem while non-AI users prioritize quality nuances, trust, reliability, and social concerns. The work argues for redirecting MT research toward community-identified needs rather than benchmark performance alone.