From Podcast to Text Digests 📰
After producing 500 podcast episodes over a period of 2 years, I decided to switch to text-based news digests. This transition allows for faster consumption and is more maintainable in the long run, while maintaining the same AI-powered curation that made the podcast valuable.
How does this work❔
Every weekday, a cron job runs "in the cloud" to fetch the latest news from multiple Zambian sources.
The news items are then processed using a language model, and compiled into a comprehensive digest that's organized by themes and importance.
The digest is automatically published to this website, providing you with a clean, scannable summary of the day's most important Zambian news. Links to original sources are organized by publication for easy reference.
All of this happens automatically, without any human intervention - just like the podcast did.
Key Facts ✨
- Only news items published on the same day are included in each digest, ensuring fresh and relevant content.
- No personal opinions are expressed in the digests. News items are presented objectively, without commentary (though the AI may add helpful context!).
- Content generated using LLMs may lack full context, nuance, and may inadvertently introduce biases or inaccuracies due to model limitations. That's why direct links to original articles are provided for fact-checking!
- Links to original news articles are organized by source in collapsible sections, making it easy to explore stories that interest you most.
- This continues to be an experiment in automation and artificial intelligence. The best way to learn is by building and evolving, and that's exactly what we're doing here. I hope you find these digests useful.
- The original idea was inspired by Hackercast, which creates AI-generated podcast summaries of Hacker News.
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