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CallBench is a Chinese benchmark for evaluating dual-goal coordination in phone call assistants, containing 50,000 multi-turn dialogues across six scenarios, with a preset-aware evaluation protocol covering semantic understanding, safety, and dialogue rhythm.
Introduces a GitHub project called TelegramGroup that curates a large collection of high-quality Telegram groups, channels, and bots, categorized by direction to help newcomers quickly find the resources they need.
Recommends an open-source Chinese AI Agent general knowledge tutorial website, including 21 chapters with visualized animated tutorials, a 130+ question bank, and an AI teaching assistant. It is purely static and can be deployed to Nginx with one click.
MedRealMM is a new multimodal benchmark for Chinese online medical consultation, built from real-world patient-doctor interactions, evaluating LLMs on next-response generation with clinical rubrics.
A curated Chinese summary of OpenAI's official GPT-5.6 prompt guide, including core changes, recommended structure, templates, and common pitfalls.
Introduces two open-source AI writing skill templates that mimic Liu Run's business analysis style and Luo Zhenyu's quote style, enabling AI to produce professional and shareable articles, lowering the barrier to writing.
The user tested the frontend capabilities of GPT 5.6-Terra, creating an interactive Guan Yu card webpage from the Three Kingdoms. The results were outstanding, particularly in image matting and depth-of-field perspective.
Xu Chonglang released a free open-source "Investment Guide for Beginners" covering basics of US stocks, options, and cryptocurrency, aiming to help Chinese investors build a complete knowledge framework, identify risks, and make independent decisions.
CC Max will continue to offer the service after delisting fable 5, at the same price. Current test error rate is about 3%, but concerned about potential issues after launch.
余温 shares a review of his three-year AI startup journey, arguing that technology is not valuable; channel and reach capabilities are what truly matter. He also recommends a website that aggregates data from all social platforms.
An open-source hands-on book "Hands-On Large Language Models", with 12 chapters covering language model fundamentals, prompt engineering, semantic search, model fine-tuning, and multimodal applications. It provides runnable code examples, ideal for practical learning.
A Twitter user shared a carefully curated collection of Claude Code learning resources, including Chinese tutorials, command tips, skill libraries, etc., for beginners to get started.
This tutorial introduces the Loop Engineering method, which designs a cycle of automatic execution, checking, and correction, allowing AI to iterate until the result is satisfactory, upgrading a single query into process engineering.
Introduces multiple web scraping tools, including yt-dlp, FxTwitter, get笔记, etc., for scraping content from different platforms.
Toku Reader is a language learning app that lets users read and listen to native Japanese and Chinese content, with tap-to-translate functionality.
The user praised a product launched by Baidu that effectively solves the pain point of dealing with numbers when translating papers, considering it a necessity.
A Chinese quantitative finance tutorial for absolute beginners, using Jupyter Notebook format, containing 4 chapters (quantitative cognition, return analysis, dual moving average strategy, and strategy backtesting). Uses yfinance to fetch real data, each chapter can be run through in about 30 minutes.
Introduces LingxiDiagBench, a large-scale multi-agent benchmark for evaluating LLMs on Chinese psychiatric consultation and diagnosis. Key findings show high accuracy on binary classification but poor performance on multi-way differential diagnosis, highlighting a decoupling between conversational quality and diagnostic accuracy.
A 4-level learning roadmap from beginner to expert in using Claude, packed with practical tutorial links to save users half a year of exploration time.