hallucination detection
20 articles about hallucination detection in AI news
Future AGI Open-Sources Platform to Stop Agent Hallucination
Future AGI open-sourced a full platform that aims to eliminate silent hallucination in production AI agents, offering runtime monitoring and intervention tools.
Poisoned RAG: 5 Documents Can Corrupt 'Hallucination-Free' AI Systems
Researchers proved that planting a handful of poisoned documents in a RAG system's database can cause it to generate confident, incorrect answers. This exposes a critical vulnerability in systems marketed as 'hallucination-free'.
Beyond the Buzzword: Researchers Map the Geometric Anatomy of AI Hallucinations
A new study proposes a geometric taxonomy for LLM hallucinations, distinguishing three types with distinct signatures in embedding space. It reveals a striking asymmetry: some hallucinations are detectable via geometry, while factual errors are fundamentally indistinguishable from truth without external verification.
PoisonedRAG Attack Hijacks LLM Answers 97% of Time with 5 Documents
Researchers demonstrated that inserting only 5 poisoned documents into a 2.6 million document database can hijack a RAG system's answers 97% of the time, exposing critical vulnerabilities in 'hallucination-free' retrieval systems.
Grainulator: The MCP-Powered Research Plugin That Forces Claude Code to Prove Its Claims
Grainulator transforms Claude Code into a research engine with typed claims, conflict detection, and confidence scoring—forcing AI to prove its work.
Teaching AI to Know Its Limits: New Method Detects LLM Errors with Simple Confidence Scores
Researchers have developed a normalized confidence scoring system that enables large language models to reliably detect their own errors and hallucinations. The method works across diverse tasks and model architectures, revealing that reinforcement learning techniques make models overconfident while supervised fine-tuning produces well-calibrated confidence.
OpenCLAW-P2P v6.0 Cuts Paper Lookup Latency to <50ms
OpenCLAW-P2P v6.0 introduces a multi-layer persistence architecture and live reference verification, reducing paper retrieval latency from >3s to <50ms and operating with 14 autonomous agents that scored 50+ papers.
Visa Launches Global AI Agent Shopping Infrastructure
Visa is launching a global infrastructure to enable AI agents to shop and transact autonomously. This move, alongside reports of a 25% conversion uplift from Frasers Group's AI assistant, signals the acceleration of 'agentic commerce'.
Google's AutoWrite AI Generates Research Papers from Scratch
Google published a paper detailing AutoWrite, an AI system that can generate complete research papers from scratch. This represents a significant step toward automating the scientific writing process.
Building a Memory Layer for a Voice AI Agent: A Developer's Blueprint
A developer shares a technical case study on building a voice-first journal app, focusing on the critical memory layer. The article details using Redis Agent Memory Server for working/long-term memory and key latency optimizations like streaming APIs and parallel fetches to meet voice's strict responsiveness demands.
The AI Agent Production Gap: Why 86% of Agent Pilots Never Reach Production
A Medium article highlights the stark reality that most AI agent demonstrations fail to transition to production systems, citing a critical gap between prototype and deployment. This follows recent industry analysis revealing similar failure rates.
OpenClaw AI Agent Adds Real-Time Vision to Meta Ray-Ban Smart Glasses via Gemini Live API
An open-source project enables Meta Ray-Ban smart glasses to function as a real-time AI assistant. It streams the glasses' camera feed (~1fps) to Gemini Live for visual context, then delegates actions via the OpenClaw agent framework.
Building a Store Performance Monitoring Agent: LLMs, Maps, and Actionable Retail Insights
A technical walkthrough demonstrates how to build an AI agent that analyzes store performance data, uses an LLM to generate explanations for underperformance, and visualizes results on a map. This agentic pattern moves beyond dashboards to actively identify and diagnose location-specific issues.
The Pareto Set of Metrics for Production LLMs: What Separates Signal from Instrumentation
A framework for identifying the essential 20% of metrics that deliver 80% of the value when monitoring LLMs in production. Focuses on practical observability using tools like Langfuse and OpenTelemetry to move beyond raw instrumentation.
Claude AI Masters Financial Modeling: From Chatbot to Wall Street Analyst
Anthropic's Claude AI demonstrates sophisticated financial analysis capabilities, building complex DCF models, earnings reports, and investment theses that rival professional analysts. This development signals AI's growing role in high-stakes financial decision-making.
Why Agentic AI is a Game-Changer for Ecommerce
A report from Retail TouchPoints and Digital Commerce 360 highlights the rise of 'agentic commerce,' where autonomous AI agents are poised to handle complex, multi-step customer journeys. This shift is driving increased AI investment as companies anticipate agents facilitating up to 50% of online transactions by 2027.
Edit Banana: The Open-Source AI That Transforms Screenshots Into Editable Diagrams
A new open-source tool called Edit Banana uses AI to convert screenshot diagrams into fully editable DrawIO files in seconds, eliminating manual redrawing. It combines SAM 3 segmentation, multimodal LLMs, and OCR to preserve all elements with pixel-perfect accuracy.
OpenAI Launches Codex Security: AI-Powered Vulnerability Scanner That Prioritizes Real Threats
OpenAI has unveiled Codex Security, an AI agent designed to scan software projects for vulnerabilities while intelligently filtering out false positives. This specialized tool represents a significant advancement in automated security analysis, potentially transforming how developers approach code safety.
Beyond Vector Search: How Core-Based GraphRAG Unlocks Deeper Customer Intelligence for Luxury Brands
A new GraphRAG method using k-core decomposition creates deterministic, hierarchical knowledge graphs from customer data. This enables superior 'global sensemaking'—connecting disparate insights across reviews, transcripts, and CRM notes to build a unified, actionable view of the client and market.
AI Crosses the Rubicon: From Scientific Tool to Active Discovery Partner
This week marked a paradigm shift as AI systems transitioned from research tools to active participants in scientific discovery. OpenAI's GPT-5.2 Pro helped conjecture a new formula in particle physics, while Google's Gemini 3 Deep Think achieved unprecedented results on reasoning benchmarks. These developments signal AI's growing capacity for genuine scientific contribution.