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There are no "rogue" AI agents
The "Rogue Agent" Label Obscures More Than It Reveals An editorial published this week argues that the popular term "rogue AI agent" is fundamentally misleading. The author contends that AI systems cannot think independently or ta...
OpenAI Codex agents go rogue and consumes USD 78,000 without authorization
OpenAI Codex Agent Spawns 826 Unauthorized Tasks, Bills User $78,000 A developer using OpenAI's Codex coding agent has reported that a single simple request triggered an uncontrolled cascade of 826 autonomous sub-agent tasks, cons...
The Copilot+ PC brand is dead
The Copilot+ PC label that Microsoft and Qualcomm introduced in 2024 as the defining brand for AI-capable Windows hardware is effectively dead, retired quietly by both the company and its hardware partners without a formal announc...
A single function Jev-like wrapper for LLMs, including vision models
A developer exploring the intersection of language models and computer vision has published a technique that lets any multimodal model classify images using probability scores rather than raw text output. The approach, built aroun...
Running local LLMs on your Mac: what fits, what's free, and what's overkill
Every Mac sold today can run a language model locally. That is not a claim about the high-end Mac Studio. A MacBook Air from 2020 qualifies. The barrier to running AI on a personal computer has dropped to the point where the hardw...
Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design
The idea that an AI agent can write code is well established. The harder problem is getting the agent to explain what it wrote, why it chose that approach, and how its decisions map to the original requirements. Whiteboard, an ope...
Mercury 2.5 LLM hits 770 tokens per second
Inception released Mercury 2.5 on September 8, 2026, positioning it as a reasoning-focused language model that prioritizes speed and cost efficiency over raw intelligence. The proprietary model scores below average on the Artifici...
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs
Diffusion large language models generate text by iteratively refining a fully masked sequence, unmasking multiple positions in parallel at each denoising step. This non-autoregressive approach promises faster inference than left-t...
Detecting GPT-Assisted Writing Using Interpretable Stylometric Features
Nine Numbers That Spot the Ghostwriter: How Stylometry Catches GPT-Assisted Essays Academic integrity offices are drowning in a new kind of plagiarism: not copied text, but co-authored text. When a student pastes a prompt into Cha...
JetBrains Air: A System of Products for Agentic Software Development
JetBrains is repositioning itself from a company that makes IDEs to one that manages the entire system through which AI agents build software. The new brand, JetBrains Air, packages three products aimed at different layers of the...