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OpenAI CEO Sam Altman reveals India has reached 100 million weekly active users, making it the global leader in student-driven AI adoption and a primary market for LLM developers.

A comprehensive technical guide on optimizing LLM features for production, covering semantic caching, prompt compression, and intelligent model routing to achieve 73% cost reduction.

Explore the shift from traditional RAG to Recursive Language Models (RLM) for processing massive documents. Learn how to build a Python-based prototype that allows LLMs to autonomously navigate and analyze 1M+ tokens using tools and recursive sub-calls.

In a landmark achievement for AI4Science, GPT-5.2 has proposed a novel formula for gluon amplitudes, marking the first time a Large Language Model has made a significant discovery in theoretical particle physics.

The rumored mega-deal between Nvidia and OpenAI has failed to materialize, signaling a shift in the AI infrastructure landscape and raising questions about the future of compute-heavy LLM development.

An in-depth analysis of OpenAI's security framework for AI agents, focusing on preventing prompt injection and data exfiltration when agents browse the web.

OpenAI CFO Sarah Friar outlines a shift from raw model capability to 'practical adoption' in health, science, and enterprise sectors as the company scales its intelligence business.