Hi, I’m Xuying, the developer of AI-daily news. AI-daily news is my first open-source project (using streamlit) and it’s designed to address information anxiety for AI enthusiasts.
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The idea came from my personal need:
I’m a MLE. Since the AI information explosion, I’ve been trying to keep up with the AI wave. However scattered and cheap news has made me tired, as I only want to know the most important and worthy AI news. AI newsletter subscriptions now become very common, while the daily routine of reading finally become unsustainable.
Many of my friends in Silicon Valley including me have been used to listening to podcasts. During a business trip at the airport, while listening to Lex Fridman’s podcast, an idea came across my mind: why not create an AI-generated podcast that compiles all the information I want to know? The AI automatically collects information and generates a podcast in my preferred style on a daily basis, and I can listen to it on my commute! It’s really cool!
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My vision:
AI-daily news aims to create a brief, to-the-point, and fun-to-listen-to AI-generated podcast. Currently, it focuses on providing important AI news, and in the future, it will expand to cover any custom topic and generate podcasts accordingly.
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The primary functionalities are built upon langchain and openai. The frontend interface is developed using streamlit, complemented by some HTML, JS, and CSS. If you’re interested in any other technical details or ideas, feel free to leave your thoughts!
I have lots more planned for the site in the coming weeks, but are excited to share this initial version with you all❤️. Feedback or suggestions welcome on any of it!
I’m thrilled by this idea. I always wish there was a place that gave the most important news and discussions on a daily basis. Your product seems solve my problem perfectly. I like the idea you come up with that “brief, to-the-point, and fun-to-listen-to AI-generated podcast”. This is exactly what I want! Another question, how scalable is your solution? Can it handle a large influx of newsletter data or is it designed for smaller datasets?
Interesting practice! I’ve opened this and am excited to try it out!
Just one question, how does the project handle different data sources? Is there a unified format for ingesting newsletter content, or can it adapt to various formats and sources?
Congrats on the launch, looks great .Really impressed by this idea.
A few minutes of podcasting can be very convenient for disseminating information, and it allows for adjusting the tone, length, and volume of audio information. This is very interesting to me, as I see the potential of this project: it can create any personalized podcast.
Keep up the good work and wish the following updates!
The project is designed to process and present newsletter content efficiently. While real-time capabilities aren’t explicitly mentioned, the integration with tools like Streamlit suggests potential for dynamic updates and real-time interactions.
Thanks for such clear and thoughtful feedback. Please feel free to leave a message on my Discord or Twitter in your future journey with the product to help me improve the user experience. Thank you so much for your support!
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