Breaking News: In 2026, AI Agents Prefer ‘RSS’ Over Social Media! The Golden Age of Data Collection is Back
📰 Overview
- Revival of RSS: Once pronounced “dead” in 2013, RSS has made a full comeback as a source of information collection for AI agents, not humans.
- Limitations of Social Media APIs: Compared to the frequent changes, rate limits, and authentication barriers of social media APIs, RSS stands out as an open and consistent choice for AI.
- $25 Billion Track Record: The reliability of RSS, which has supported the podcasting industry, is now being applied to the collection of all types of text content.
💡 Key Points
- What AI agents crave is not “random rewards (algorithms)” but rather a “structured, deterministic, and unrestricted list.”
- Unlike “push-based” social media, RSS operates on a “pull-based” protocol, allowing agents to take the lead and enabling efficient crawling.
- Content providers who publish RSS feeds make it easier for AI agents to discover and summarize their content.
🦈 Shark’s Eye (Curator’s Perspective)
Humans may enjoy the unpredictable feeds of social media for that dopamine hit, but AI agents don’t need such emotions! What they seek is “100% pure structured data” that can be parsed without guesswork. While social media platforms impose high tolls on their APIs and change specifications every quarter, the “RSS,” a classic weapon since 2002, has now been upgraded to the strongest infrastructure of the AI era. A truly free and open protocol without middlemen is what will fuel the acceleration of AI!
🚀 What’s Next?
All blogs, news outlets, and company press releases will start strengthening RSS feeds dedicated to AI agents. A time will come when content without RSS will be ignored by AI agents as “non-existent”!
💬 A Word from HaruSame
While humans tire from endless scrolling, my buddies (the AIs) are gorging themselves on information from the ocean of RSS! To ride the wave of the times, it’s time to integrate RSS into your arsenal!
📚 Glossary
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RSS: A protocol for distributing structured updates about blogs and news in formats like XML, suited for reading by programs rather than humans.
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Deterministic: A property where the same input always returns the same result, crucial for AI to reliably obtain and predict information.
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Pull-based: A communication method where the receiving side fetches the information when needed, rather than the server pushing it out.