
The capability to interact with an AI character in real time raises questions about how conversational AI will reshape user engagement and customer service applications.
Gemini 3.8 Live with Live Avatar is a conversational AI system that combines real-time speech with animated video of a digital character, creating a visual presence that can listen, see, and respond with synchronized lip movements and facial expressions. The feature is designed for enterprise use cases like customer service and interactive walkthroughs, processing visual and audio inputs simultaneously while handling background tasks without interrupting conversation. It supports 97 languages with native speech-to-speech synchronization and allows organizations to customize avatars based on reference images to match their branding. All output is watermarked with an imperceptible identifier to maintain transparency about AI-generated content and help detect misinformation.

Google Research has announced a next-generation Federated Learning (FL) system built on Trusted Execution Environments (TEEs). The research team claims externally verifiable central differential privacy (DP) guarantees for FL for the first time. What Problem Does TEE-Based Federated Learning Solve? Google introduced Federated Learning FL in 2017. It powers next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart Text Selection in Android. Earli

Aleph Alpha has released Kolibri, an open-weight Mixture-of-Experts (MoE) language model built for German and English. Kolibri has 78.1B total parameters but activates only 3.46B, or 4.4%, per token. It accepts up to 1,048,576 tokens of context, lets users set reasoning effort per request, and ships under the Apache 2.0 license on Hugging Face. The target is sovereign deployment in regulated sectors such as public administration, industry and aerospace. Is it deployable? Yes. The FP8 checkpo

What are Decision AI Models? Decision AI models are a new class of model that returns a decision, not a paragraph. You send text with typed questions. The model returns choices, scores or yes/no probabilities your code can branch on directly. The category went mainstream when TypeSafe AI launched Jev after 2 years in stealth. TypeSafe calls it a ‘System One model,’ after Daniel Kahneman’s fast, intuitive System 1 thinking. Within 3 weeks, Fastino Labs shipped 2 rival
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