Focused on cutting‑edge product and technology information and practical experience sharing in the AI field (large models, MLOps/LLMOps, AI application development, AI infrastructure).
Meta’s new Muse Spark model, the first output of Meta Superintelligence Labs, claims multimodal reasoning, ten‑fold compute efficiency over comparable models, strong safety rejection rates, and competitive benchmark scores, while being rolled out across Meta’s core apps.
GLM-5.1, the newly open‑sourced large language model, leads global code‑generation benchmarks, excels at eight‑hour continuous long‑term tasks, can build a complete Linux desktop in eight hours, and even creates a short video from an article with just one prompt.
The article introduces Addy Osmani’s open‑source Agent Skills, a 19‑skill package that embeds Google’s engineering constraints into AI programming tools, providing commands for each development phase and a built‑in “no‑excuse” table to prevent AI from skipping specs, tests, and reviews.
The article argues that while AI dramatically boosts individual productivity, organizations lag because they treat AI as a personal efficiency tool rather than redesigning workflows, citing historical parallels to the electric motor’s impact on 19th‑century textile factories and outlining seven fundamental differences between institutional and individual AI.
Anthropic announced that, effective noon PT on April 4, Claude's subscription quota will no longer be usable through third‑party tools like OpenClaw, forcing users to switch to a pay‑as‑you‑go model, sparking criticism and highlighting the risks of relying on large AI platforms.
Google DeepMind's Gemma 4 family introduces four open‑source models—including a 31B dense and a 26B MoE variant with 256K context—that deliver multimodal capabilities, tool‑use functions, and benchmark results rivaling much larger models while running on a single H100 GPU.
By adding an eight‑line CLAUDE.md file that suppresses polite openings, repetitions, and unnecessary explanations, developers reduced Claude Code’s output token count by 63% without losing information, achieving up to 75% shorter code reviews and 64% shorter concept explanations, as verified by independent benchmarks.
H Company’s new Holo3 series delivers a visual language model that outperforms GPT‑5.4 on the OSWorld‑Verified benchmark with a 78.85% score while costing only about one‑tenth as much, offering both a flagship API‑only version and an open‑source lightweight variant optimized for GUI agents.
Alibaba's newly released Qwen3.5-Omni multimodal model adds an Audio‑Visual Vibe Coding feature that lets users describe a website or game with speech and gestures to generate code, while offering advanced audio comprehension, long‑duration media support, multilingual capabilities, fine‑grained voice control, and voice cloning, though its weights remain closed‑source.
This guide explains the purpose of the .claude directory, details how CLAUDE.md, rules, hooks, skills, agents, and settings.json work together, and provides step‑by‑step instructions for configuring Claude Code to follow project‑specific policies and improve productivity.
