How ChatGPT Actually Picks Sources (I Read The Network Traffic, Not The Outputs)

This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...
latesthackingnews.comOpinion

Amazon Q’s MCP Flaw Is an Industry Warning: AI Tools Still Lack Workspace Trust Standards

CVE-2026-12957 in Amazon Q is the third MCP auto-execution vulnerability in three AI coding tools. The pattern reveals a ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
Tech Times

Mistral OCR 4 Ships: Structure-Aware Document AI Runs On Your Own Infrastructure

Mistral OCR 4 brings bounding boxes, typed-block classification, and 170-language document extraction to enterprises that ...
InfoWorld

How fuzzy APIs are remaking the web

With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
BizTech

IBM’s watsonx Platform Goes the Distance on AI Governance for Financial Institutions

As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer than in financial services. IBM’s watsonx platform can help. Artificial ...
IEEE

GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...