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Zyphra has released Zonos-v0.1, an open source model that turns text into natural-sounding speech and can clone voices using just seconds of audio data. The new model supports five languages - English, Japanese, Chinese, French, and German - and gives users control over speaking speed, pitch, audio quality, and emotional tone. According to Zyphra, the model processes audio faster than real-time when running on an RTX 4090 GPU. Zyphra has made Zonos available in two versions: a pure transformer model and a hybrid model that combines state-space models with transformers. Both versions were trained on approximately 200,000 hours of audio data, primarily in English. Users can try out Zonos through a user-friendly Gradio interface, with easy Docker installation for local use. The model is also accessible through the Zyphra Playground or via API for those who prefer cloud-based solutions.

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If you want to understand AI, there's one video you need to watch this week. Andrej Karpathy, formerly of OpenAI and Tesla, has released what might be the clearest explanation yet of how Large Language Models actually work. The video breaks down the entire training process of these AI systems and provides mental models for understanding their "psychology" - essentially, how they process and respond to information. Karpathy, who recently co-founded the AI education company Eureka Labs, also includes practical tips for getting the most out of these tools in real-world applications. What makes this explanation special is how Karpathy brings technical depth without sacrificing clarity.

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