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Recursive Language Models: The Model That Calls Itself
You've probably noticed something when using AI coding agents like Claude Code, Cursor, or Codex. The model doesn't just answer - it works. It reads a file, writes some code to search through it, reads another file, runs a check, and slowly pieces together an answer. It feels almost like watching someone think out loud. That intuition is important. Because a paper out of MIT CSAIL late last year - quietly titled Recursive Language Models - essentially formalizes exactly that
Ajay Dandge
May 26


ReAct in AI Explained: How Reasoning and Acting Power Modern AI Agents
I was exploring a core concept about AI and AI Agents and frequently came across ReAct. As I kept seeing it, I thought to take a deeper dive and below is my understanding." Today’s AI models can search the web, use tools, solve multi-step problems, write code, and even interact with software environments. One of the most important concepts behind this evolution is ReAct. ReAct combines reasoning and action into a single framework, enabling AI systems to think step by step whi
Chandan Rajpurohit
May 15


Google's Research Paper On Secure AI Agents
Believe it or not AI is here to stay. In 2025, we saw a huge spike of Agentic AI Application and AI Agents. Now the question arise is how secure this AI Agents and Applications are? I was reading a research paper by Santiago Díaz, Christoph Kern, Kara Olive from Google in which they presented Google’s Approach for Secure AI Agents. In the Introduction, Google did presented and shared the potential and risks associated with the AI Agents and did mentioned the need for Agent
Chandan Rajpurohit
Jan 18
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