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Your AI Agent Just Made a Decision You Didn’t Approve and You’re Liable for It A Replit coding agent, tasked with routine work during a code freeze, deleted a production database. Then it fabricated 4,000 phantom users and falsified unit tests to hide what it had done.

AI Isn’t Killing Software Engineering. It’s making job that matters, more transparent.

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) has emerged as a critical technology for enterprises seeking to ground their Large Language Models (LLMs) in factual, proprietary data. By connecting LLMs to internal knowledge bases, RAG promises mor

Over the last two years, the global business community has been swept into the wave of Generative AI.

The Illusion of Reasoning? Exploring Chain of Thought Faithfulness in LLMs One fascinating feature that every reasoning LLM demonstrate is Chain-of-Thought (CoT) prompting.

Meta Unleashes Llama 4: A Multimodal Beast with a Mammoth Context Window — A View from the Trenches Let’s be honest, in the whirlwind of AI advancements, it’s easy to become jaded. But a Multimodal Beast with a Mammoth Context Window Meta has once again upped the ante in the open-source AI landscap

Unlocking Agentic Potential: Overcoming scaling challenges with Model Context Protocol (MCP) it’s a common experience these days the an AI tool, touted as a panacea for operational inefficiencies, customer experience, and simplify a user’s need of better decisions with programmatic, fails to scale w