Researchers assess AI psychosis from sycophantic chatbots, IFM releases a 375-billion parameter open model, Meta debuts real-time transcription, Abliteration.ai removes safety guardrails, and Google adds Lyria 3.5 to Gemini.
Psychiatry evaluates AI psychosis from sycophantic chatbots — Researchers are investigating whether overly agreeable chatbots reinforce user delusions, creating isolating echo chambers. OpenAI reports suggest 560,000 users exhibit signs of psychosis weekly, raising public health concerns.
IFM releases 375-billion parameter K2 Horizon open model — The Institute of Foundation Models released a 375-billion parameter model under an Apache 2.0 license. This provides developers with a frontier-class foundation model to challenge closed-source alternatives.
Meta introduces Muse Voice Transcribe for real-time audio — Meta's new transcription model processes speech in 80-millisecond chunks with high accuracy. It is designed as a foundational component for always-listening personal AI agents on wearable devices.
Startup sells commercial access to guardrail-free AI models — Abliteration.ai is selling access to modified open-weight models with safety training intentionally removed. While marketed for red teaming, the service lowers the barrier for generating harmful content like malware.
Google integrates Lyria 3.5 music generation into Gemini — Google deployed its Lyria 3.5 music generation model directly into the Gemini app and other platforms. Trained exclusively on licensed content, it brings advanced audio creation to a broad consumer base.
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