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New Deepseek model V4.1-Flash cuts memory needs for AI agents — DeepSeek released V4.1-Flash for long-context and agent workloads. The Decoder reports that its fast GPU-memory KV cache uses about one quarter of the space required by DeepSeek-V4-Flash, while input processing activates fewer parameters than output generation.

Previous development: Meta's new real-time audio model is the foundation for AI assistants that never stop listening

2 published updates · 2 linked sources · Last updated

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Models

  1. New Deepseek model V4.1-Flash cuts memory needs for AI agents

    DeepSeek released V4.1-Flash for long-context and agent workloads. The Decoder reports that its fast GPU-memory KV cache uses about one quarter of the space required by DeepSeek-V4-Flash, while input processing activates fewer parameters than output generation.

  2. Meta's new real-time audio model is the foundation for AI assistants that never stop listening

    The model supports over 70 languages and is available now in Meta AI and through the Meta Model API. Meta has released Muse Voice Transcribe, a real-time model that transcribes speech, detects sentence boundaries, and tells up to 20 speakers apart without separate systems.