Daily AI

AI Coding Dictionary

Explains AI coding jargon in plain English, giving concrete engineering meanings for terms like context window, tool call, and attention degradation. Structured as a browsable dictionary with pragmatic examples and guidance for developers building LLM-driven systems.

CPA Manager Plus

Self-hosted CPA / CLIProxyAPI management and observability panel that stores request history, tracks cost/usage/quota, and centralizes provider/credential/OAuth and plugin management. Designed for local analytics, failure diagnosis and account automation without telemetry.

STORM: Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking

Generates Wikipedia-style articles from web search using LLMs: it researches topics, produces multi-perspective outlines via perspective-guided question asking and simulated conversations, then drafts full articles with citations. Supports human-AI collaboration (Co-STORM) and grounding with multiple retrievers.

Palmier Pro

Generative-AI-enabled timeline video editor for macOS that lets creators generate and edit videos and images directly inside the timeline. Includes a local MCP server for agent integrations (Claude/Codex/Cursor); editor is open-source while generative processing is closed-source and subscription-based; macOS 26 on Apple Silicon only.

CS 自学指南

Curated self-study roadmap and reading-list for learning computer science end-to-end — organizes open courses, textbooks, and project recommendations across programming languages, systems, algorithms, AI/ML and more; aimed at motivated learners planning a 2–3 year self-directed path.

深入理解 AI Agent：设计原理与工程实践

Open-source companion to a technical book that teaches how to design, evaluate and ship LLM-based AI agents — includes the full Chinese manuscript, community translations, chapter-aligned runnable example projects, and reproducible evaluation harnesses.

RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

Builds structured knowledge graphs for retrieval-augmented generation via a multi-step GraphRAG pipeline that separates extraction from consolidation. Key features include typed two-stage extraction, DBSCAN-backed deduplication, LLM summarization, Leiden community detection, and a compact 7B extractor model (Meno-Lite-0.1).

Loop the Loopies!

A looped-Transformer LLM series using Mixture-of-Experts (20B with 2B active; 6B with 0.6B active) that trades extra pretraining compute for repeated looping. Shows superior compute-efficiency versus matched-compute vanilla baselines and attains gold-medal performance on 2025 IMO and IPhO after a post-training pipeline.

Cura 1T: Specialized Model for Agentic Healthcare

Specialized LLM for clinical workflows trained via a human-gated self-evolution loop to improve patient consultation, multimodal clinical reasoning, interactive diagnosis, and EHR tool use. Iteratively refines targeted synthetic and curated data based on benchmark failures to raise specific capabilities without broad regressions.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

A vision-language-action foundation model trained on 100k+ hours of real-world robot manipulation trajectories to follow natural-language instructions and adapt to downstream tasks with minimal fine-tuning. Uses a two-stage (pre-/post-) training recipe and a scalable auto-labeling pipeline; shows clear scaling benefits and state-of-the-art sim-to-real transfer on standard benchmarks.

xHC: Expanded Hyper-Connections

Expands a Transformer’s residual stream into many parallel streams and introduces xHC to scale Hyper-Connections beyond N=4. Combines temporal feature augmentation with sparse residual updates (update k=4 of N=16) and xHC-Flash memory optimizations to raise downstream scores while cutting effective compute and memory traffic.