Lindsey Allen
@herdcats
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CPO, https://t.co/6u3RyAqIkb
Santa Clara, CA
Joined April 2011
Innovation and high quality speaks for itself, @boson_ai #higgsaudio v2 is a big hit! treading on top 5 on @huggingface this week.
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https://t.co/dbWW0goowh Higgs-audio whipped up something relaxing —a fully AI-generated track with lyrics, beat, and chorus all in one, zero-shot.
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Boson AI's new audio generation model is out: emotionally expressive voice, long form audio, multi-speaker cloning, directable audio (e.g. music, laughter), trained on 10M+ hours of audio, and best of all, open source. https://t.co/fvRBRmhorA - @boson_ai @sxjscience @mli65
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3/3 HiggsAudiov2 adopts Dual-FFN architecture that is capable of handling text and audio tokens jointly. Higgs Audio v2 has achieved state-of-art performance, beats “gpt‑4o‑mini‑tts” with 75.7% win rate on “Emotions” and 55.7 % on “Questions” in EmergentTTS‑Eval.
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Multi-speaker conversations can be tricky for AI models. #HiggsAudio makes it easy. #HiggsAudio v2 supports end2end voice clone and generation, see live #HiggsAudio translating and cloning simultaneously https://t.co/OVev0TjXGd.
#HiggsAudio inference can run on a Jetson Orin Nano
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2/3 #HiggsAudiov2 is trained on a massive corpus of over 10M hours of high-quality audio data, annotated using BosonAI’s #ASR, and #LLM models. on #Github: https://t.co/heRUuNsqbd + on #HuggingFace
https://t.co/80Nf8knrNy).
huggingface.co
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1/3 We are excited to announce our opensource release of #BosonAI #HiggsAudio v2 ( https://t.co/3uKdowy89d), a SToA multimodal LLM for audio generation. #HiggsAudio v2 is the first OSS large audio model excels at multi-speakers cloning, emotionally competent voice generation.
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Good explanation of MCP
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MCP is going crazy viral right now🤯 AI apps can now instantly connect to any tool or live data. USB-C moment for AI. 10 wild examples: https://t.co/qLnMkgBA0H
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Deepseek running locally and privately for autocompletion in VSCode! 🙌 In less than a minute, I'll show you how to download Deepseek-coder and set it as the autocompletion model in VSCode. You’ll need to use @ollama to download the model and CodeGPT to select it as the
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Today's "DeepSeek selloff" in the stock market -- attributed to DeepSeek V3/R1 disrupting the tech ecosystem -- is another sign that the application layer is a great place to be. The foundation model layer being hyper-competitive is great for people building applications.
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Build anything with DeepSeek-R1, here's how...
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Former Databricks employee shares his view on the company, $SNOW, and the relationship with hyperscalers like $AMZN, $MSFT, and $GOOGL: - One of the weaknesses in his view that Databricks has is that it does not do well when it comes to selling high, so selling to CEOs and CIOs.
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