I Gave My AI Agent ADHD. Its Reasoning Got 2x Better.
AI Summary: Three ADHD thinking traits turned into a parallel reasoning pattern.Continue reading on Towards AI »
AI 概念解释、入门教程、学习路径和深度科普。
AI Summary: Three ADHD thinking traits turned into a parallel reasoning pattern.Continue reading on Towards AI »
AI Summary: Why Your AI Agent Fails After 3 Days (And the 3-Layer Architecture That Fixes It)
AI Summary: This morning on Hacker News I saw Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance, describing a small but effective inpainting model - a model where
AI Summary: OpenAI Faces Rising Pressure from Meta AI, xAI, China, and Anthropic’s Enterprise MomentumContinue reading on Towards AI »
AI Summary: Prompt Injection as Role Confusion First, I absolutely love this: This is a blog-style writeup of the paper. I wish every paper would come with one of these. Academic writing is pr
AI Summary: Short note on North Mini Code, Cohere's 30B total and 3B active open-weight MoE model for agentic coding tasks.
This AI tutorial from Machine Learning Mastery, published on June 22, 2026, focuses on building browser-controllable AI agents with Python. Unlike most AI agent tutorials that start with APIs, it explains related concepts, applicable scenarios and implementation ideas in an easy-to-understand way, helping developers master browser AI agent development skills without relying on existing APIs, suitable for practitioners who need web automation operations.
这篇来自Machine Learning Mastery的AI教程,发布于2026年6月22日,主题是用Python构建可操控浏览器的AI代理程序。不同于多数从API入手的AI代理教程,它将用通俗易懂的方式拆解相关概念、适用场景与实现思路,帮助开发者掌握无需依赖现成API的浏览器AI代理开发技能,适合需要网页自动化操作的从业者学习。
AI Summary: We have a new top open model in the world!
AI Summary: This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.
AI Summary: By Adam Wolf Running production LLM inference on a new accelerator family is a layered problem. The model matters. The runtime that exists for the GPU you have matters at least as