MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Inside SearchGuard: How Google detects bots and what the SerpAPI lawsuit reveals

We fully decrypted SearchGuard, the anti-bot system protecting Google Search. Here's exactly how Google tells humans and bots ...
Unite.AI

When AI Agents Start Building AI: The Recursive Intelligence Explosion Nobody’s Prepared For

For decades, artificial intelligence advanced in careful, mostly linear steps. Researchers built models. Engineers improved performance. Organizations deployed systems to automate specific tasks. Each ...

Perplexity AI Interview Explains How AI Search Works

Interview with Perplexity AI explains how AI Search works and provides insights into answer engine optimization ...

Case Study: How Entity Linking Can Support Local Search Success

Entity linking gives multi-location brands semantic clarity, improving local rankings, non-branded visibility, and AI search ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...