A daily briefing on developments in AI prepared for Alex Panetta. Shared here in case helpful. Covers news, tools, research, and controversy from a variety of sources. Curated by algorithm, explained in plain English.

How it works

Every morning, an automated pipeline collects the latest AI stories from across the web, ranks them by significance and engagement, and uses AI to generate concise, non-technical summaries. The result is a daily briefing designed to keep you informed in under 10 minutes.

What's covered

Each edition is organized into five sections:

• What's New — Tools, products, and news events
• What's Innovative — Novel AI use cases and demos
• What's Controversial — Policy fights, backlash, and ethical disputes
• What's in the Lab — Technical posts from major AI labs
• What's in Academe — Research papers and academic analysis

Sources

The digest monitors 8 sources daily:

• Hacker News — Developer community discussions
• arXiv — AI and machine learning research papers
• GitHub — Trending AI repositories and tools
• Reddit — r/MachineLearning, r/LocalLLaMA, and related communities
• HuggingFace — Models, spaces, and community papers
• NBER — Economics research on AI
• AI Lab Blogs — OpenAI, DeepMind, Google AI, Meta AI, Anthropic
• Academic Blogs — AI Snake Oil, Lilian Weng, Sebastian Raschka, The Gradient, BAIR

Who makes this

Alex Panetta is a journalist and Georgetown AI fellow who built this digest to track the AI landscape, distilling the torrent of daily developments into something manageable. The pipeline is fully automated — collection, ranking, and summarization happen without manual intervention — but every edition is reviewed before distribution.

Get in touch

Questions, feedback, or source suggestions? Reach out via Substack.