Wolf Digest

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About this podcast

Wolf Digest is an automated morning briefing for people who track the AI field. A scholarly wolf — in practice, a language model for the writing and a synthesized voice for the audio — reads the day's papers and posts and tells you what shipped, what matters, and where the caveats are. Every weekday, before sunrise, the wolf makes the rounds — arXiv, the major research blogs, HuggingFace Daily Papers, frontier-lab releases, coding-agent products, robotics, interpretability research, and defense and national-security AI — then ranks every in-window story on impact, importance, and community reach, and narrates the top four in depth for a ten-to-fifteen minute listen. The narration is dense and ML-literate. It will not explain what a transformer is. It will tell you what the new result is, the concrete numbers, the experimental setup, and where the caveats are. If you read papers and want a coherent, substantive daily read, this is for you. Every story links to its primary source. The audio summarizes the top four; the written digest carries all two-hundred-plus ranked items with links out. Consider the show a doorway — the wolf reads the field's papers aloud, but the papers themselves, and the humans who wrote them, live at the end of the links. Throw the Wolf a bone 🦴 → https://venmo.com/u/azimuth-technologies