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Detected Across Public Sources

Evidence specific to Hume AI across indexed public receipts.

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Life update: I’m now at @GoogleDeepMind Feels surreal to not be at @hume_ai anymore, but the team there is in an incredible position to continue advancing cutting edge voice AI research. There are changes coming in how people interact with AI. There are changes coming in how labs will teach AI to make people happy. Voice intelligence is increasingly seen as a key unlock on both fronts, a thesis Hume was very early to adopt. So Hume is sharing the infrastructure for voice data, evals, and RL to help advance voice intelligence and AI empathy across the industry. It’s proving to be a much bigger opportunity than expected. I’m excited for the Hume team and grateful to everyone who helped us get to this point. Will share more on what I’m working on soon@alancowen · 646 engagementmlx-audio v0.4.2 is out 🔊 New Models → Irodori-TTS (Japanese TTS) → HumeAI TADA by @hume_ai → KugelAudio TTS → Cohere Transcribe ASR by @cohere → Voxtral-4B-TTS-2603 by @MistralAI → Qwen2-Audio-7B-Instruct by @Alibaba_Qwen → Moshi STS by @kyutai_labs What’s New → Voxtral TTS streaming with overlap-add decoding → Distil-Whisper added to supported models list → Trendshift badge on README Fixes → Qwen3-TTS streaming memory leak → Parakeet streaming defaults & NeMo preprocessing → Quantized model loading for Fish Qwen3 Omni → NumPy → mx.array in realtime STT streaming → Quantization metadata preserved in VoiceVoice sanitize → Streamed generation now saves audio to disk → Removed PyTorch dep from Cohere ASR buffer loading → Whisper timestamps fix Big thanks to our contributors 🙏 @yoshphys @korale77 @sudabg @hewliyang @mvdirty @n0madic @isshintian_cohere @chazmaniandinkle @mm65x @orbitalquark @andimarafioti @beshkenadze @KarnikShreyas @lllucas Get started today: > uv pip install -U mlx-audio Leave us a star ⭐️ https://t.co/hj007yMMH8@prince_canuma · 266 engagementtoday's my last day at @hume_ai i joined three years ago as the first design hire, helping take the product from 0→1. i worked on some of the most interesting problems i've encountered in my career: how do you design for AI that listens to tone, rhythm, and emotion? how do you build interfaces for technology that doesn't have precedent? a highlight was helping shape EVI, the empathic voice interface, the first emotionally aware conversational AI. that meant figuring out how to visualize expression data in ways that felt intuitive, designing interaction patterns for a voice agent that actually responds to how you feel. those questions pushed me to think differently about what design even is when the medium keeps shifting underneath you. i'm grateful to the hume team for building that environment together. excited for what's next!@zachkrall · 118 engagement
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