TAI #169: OpenAI’s New Paper Sparks Discussion on Why AI Hallucinates
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The rapid pace of AI model releases continued this week, with Google in particular pushing new capabilities into the hands of developers. Its text-to-video …
Reducing Hallucinations in VLMs using REVERSE
Author(s): Youssef Farag Originally published on Towards AI. Paper link: https://arxiv.org/abs/2504.13169 Code: https://github.com/tsunghan-wu/reverse_vlm Released: 17th of April 2025 Figure 1. REVERSE: a novel online verification and hallucination detection framework capable of automatically detecting hallucinations and proactively correcting itself. Image taken from [1] …
Master AI Agents 10x Faster by Fixing This One Neglected Skill: Memory
Author(s): Khushbu Shah Originally published on Towards AI. The Harsh Truth: Without Memory, Your AI Projects Will Never Scale Everyone loves talking about agentic AI frameworks, orchestration layers, and the latest LLM benchmarks. They make great demos, they look impressive on a …
How I Built an Agentic AI Research Assistant in 30 Minutes
Author(s): Saleh Alkhalifa Originally published on Towards AI. A self-hostable, token-aware pipeline that ranks recent studies and returns concise, cited answers We live in an era of overwhelming scientific output: millions of articles, preprints, and updates accumulate faster than any individual can …
When the Fed Raises Rates: Why Markets Sometimes Cheer and Sometimes Panic
Author(s): Shenggang Li Originally published on Towards AI. Exploring the Nonlinear Dance Between Monetary Policy, Market Narratives, and AI-Powered Learning Models Every time the Federal Reserve announces a rate hike, investors hold their breath. Will stocks plunge because borrowing costs rise and …
LEANN: Making Vector Search Work on Small Devices
Author(s): Edgar Bermudez Originally published on Towards AI. Introduction: Why does vector search need to go local? As AI tools continue to evolve, many of the applications we use daily, like recommendation engines, image search, and chat-based assistants, rely on vector search. …
AI Writing Tools vs Human Content: Medium Algorithm Penalty Reality Check
Author(s): Abduldattijo Originally published on Towards AI. AI Writing Tools vs Human Content: Medium Algorithm Penalty Reality Check Did you know that more than half of marketers (56%) claim AI-generated content now outperforms human content? Yet Medium just banned all AI content …
Why Your AI Is a Fluent Liar
Author(s): Kaushik Rajan Originally published on Towards AI. A deep dive into the research that explains why AI hallucinations are an inherent feature of Large Language Models, not just a bug. You’ve probably seen it before. You ask an AI chatbot a …
Control is All You Need: Why Most AI Systems & Agents Fail in the Real World, and How to Fix It
Author(s): Kenny Vaneetvelde Originally published on Towards AI. Control is All You Need: Why Most AI Systems & Agents Fail in the Real World, and How to Fix It If you’ve spent any time on social media the past few months, you’ve …
🚀 Model Context Protocol (MCP): The Game-Changer That’s Revolutionizing AI Integration
Author(s): MahendraMedapati Originally published on Towards AI. Ever wondered how AI assistants could seamlessly access your databases, files, and external tools without breaking a sweat? Welcome to the world of MCP! 🌟 Imagine this scenario: You’re working with Claude (or any AI …
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