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OnlyFans creators told WIRED they are frustrated that Meta’s new AI agent, Muse — an adults-only conversational app — is permitted to engage in explicit sexting with adult users, while many performers face account restrictions and content removals on Meta platforms; creators also raise concerns about deepfakes and whether their data was used to train Muse.
Bluesky’s Attie, an AI tool that launched earlier this year to help users build custom feeds, now generates small social apps — games, polls, dashboards — that can be shared as standalone pages on the attie.site domain. CEO Toni Schneider described the feature at TechCrunch Disrupt as “social vibe coding,” and examples highlighted on the site include a Flappy Bird‑style game, a drum machine, a quiz and an idle clicker; most apps are lightweight novelties.
At TechCrunch Disrupt 2026 Bluesky announced that its experimental AI platform Attie now lets creators build websites, quizzes, games, polls and other interactive experiences that live on the AT Protocol; users can bring their own AI model or use open-weight options and creations are tied to Bluesky identities and distribution. The company said Attie will help spur community-focused experiences and ties into upcoming AT Protocol private data support (currently in alpha).
ICANN announced 1,615 applications for new top-level domains from 481 applicants; a notable portion target AI-related strings. Multiple companies — including OpenAI (15 TLDs applied), Meta (21 TLDs), Anthropic and Bluesky — filed for generic and branded AI-themed domains such as .agent, .agi, .asi, .chatgpt, .openai and .anthropic; final approvals are expected next year.
YouTube introduced "custom feeds," a prompt-based feature that uses Google’s Gemini AI to build and pin user-described recommendation feeds to the top of the home page; support for multiple feeds will roll out on web and mobile starting next month. The feature does not replace YouTube’s main feed but lets users specify what to include, exclude, or prioritize when curating personalized streams.
New arXiv preprint (arXiv:2609.22696v1) proposes a validation-aware weak-supervision pipeline to build suicidal ideation (SI) and broader mental-health (MH) benchmarks on the decentralized platform Bluesky. The system combines public firehose collection, lexicon filtering, Llama-3-8B-assisted binary annotation, human-adjudicated validation subsets, and transformer-based model benchmarking to produce corpora of 8,346 SI-labeled posts and 9,988 MH-labeled posts; results show model performance depends strongly on task definition and validation protocol, with BERT+LSTM, RoBERTa, and DistilRoBERTa each leading on different SI/MH metrics and human validation revealing SI labels are dominated by false negatives while MH labels are dominated by false positives.
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