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ITPUB
ITPUB
May 31, 2026 · Artificial Intelligence

Does Your AI Skill Pass the Test? An 8‑Dimension Evaluation Framework

The article introduces an 8‑dimension quantitative framework for assessing AI Skills, explains how weighted scoring and multi‑model cross‑validation turn subjective impressions into concrete grades, and demonstrates its use through a real‑world skill audit, a side‑by‑side comparison of two similar skills, and practical execution strategies.

8 dimensionsAI skill evaluationdocumentation quality
0 likes · 17 min read
Does Your AI Skill Pass the Test? An 8‑Dimension Evaluation Framework
Old Zhang's AI Learning
Old Zhang's AI Learning
May 31, 2026 · Artificial Intelligence

Qwen3.6-35B-A3B NVFP4: A Stable, Highly Compressed Quantized Model

NVIDIA's NVFP4 quantization reduces Qwen3.6-35B-A3B's memory footprint by threefold with almost no accuracy loss, offers plug‑and‑play deployment via vLLM, and outperforms other 4‑bit formats on Hopper/Blackwell GPUs, making it a practical choice for production AI workloads.

MoENVFP4Qwen3.6-35B-A3B
0 likes · 13 min read
Qwen3.6-35B-A3B NVFP4: A Stable, Highly Compressed Quantized Model
Java Companion
Java Companion
May 31, 2026 · Artificial Intelligence

The 80k‑Star cc‑switch: One‑Click Management for Claude, Codex, Gemini and Other AI Coding Tools

cc‑switch is a Tauri‑based desktop app that consolidates configuration, provider switching, local proxy, fault‑tolerant failover, MCP and Skills handling, usage tracking, cloud sync, atomic writes, automatic backups, and a lightweight mode for multiple AI coding CLI tools such as Claude Code, Codex and Gemini.

AI codingCLI managementClaude
0 likes · 9 min read
The 80k‑Star cc‑switch: One‑Click Management for Claude, Codex, Gemini and Other AI Coding Tools
Data Party THU
Data Party THU
May 31, 2026 · Artificial Intelligence

Reinforcement Learning Launches a New Paradigm for Spatial Omics Experiment Design

A reinforcement‑learning framework called SOFisher, developed by teams from Fudan and Beijing Institute of Technology, enables intelligent, adaptive selection of field‑of‑view positions in costly spatial‑omics experiments, dramatically improving target detection efficiency and revealing disease‑relevant cellular niches with far fewer measurements.

AI-driven microscopyAlzheimer's diseaseSOFisher
0 likes · 7 min read
Reinforcement Learning Launches a New Paradigm for Spatial Omics Experiment Design
Data Party THU
Data Party THU
May 31, 2026 · Artificial Intelligence

Why AI Agents Get Dumber Over Time? ICML 2026 Theory of Agent Explains

The article introduces the ICML 2026 Theory of Agent (ToA), analyzes four common failure modes of modern agents, explains the internal‑vs‑external tool trade‑off through a knowledge‑boundary framework, and outlines how effort‑conservation and the β parameter guide self‑evolving agent design and future research.

AI agentsICML 2026Theory of Agent
0 likes · 24 min read
Why AI Agents Get Dumber Over Time? ICML 2026 Theory of Agent Explains
Su San Talks Tech
Su San Talks Tech
May 31, 2026 · Artificial Intelligence

How Claude Code, Codex, and OpenCode Can Cut Token Usage by Up to 80%

The article breaks down why input tokens dominate 70‑90% of LLM costs and provides concrete, platform‑specific techniques—file filtering, context compression, documentation drives, memory caching, plan mode, output trimming, and model switching—that together can reduce token consumption by 20‑90% across Claude Code, Codex, and OpenCode.

AI coding assistantsClaude CodeCodex
0 likes · 10 min read
How Claude Code, Codex, and OpenCode Can Cut Token Usage by Up to 80%
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

Can Low-Bit Models Cut Inference Costs Better Than Small Models?

The article analyzes how low‑bit quantization differs from simply using smaller LLMs, examines hardware‑level precision reduction, compares post‑training quantization with native low‑bit designs, and explains the runtime and testing requirements needed to achieve real inference cost savings.

LLM inferencecost optimizationhardware acceleration
0 likes · 7 min read
Can Low-Bit Models Cut Inference Costs Better Than Small Models?
James' Growth Diary
James' Growth Diary
May 31, 2026 · Artificial Intelligence

My Curated AI Programming Toolchain: Docs, Projects, and Tools Index

The author consolidates a categorized index of AI programming resources—including official CodeBuddy documentation, open‑source agents, monitoring utilities, workflow tools, code‑review plugins, Skills ecosystem, Git worktree strategies, AI builder feeds, community standards, and a recent research paper—providing practical selection guidance for developers.

AI programmingAgent toolsClaude Code
0 likes · 15 min read
My Curated AI Programming Toolchain: Docs, Projects, and Tools Index
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

Microsoft’s SkillOpt Turns Agent Skill Docs into Trainable Parameters for Self‑Evolving AI

Microsoft’s newly open‑source SkillOpt framework treats an agent’s skill document as external weights, applying a rollout‑reflect‑edit‑gate training loop with textual learning rates and rejected‑edit buffers, enabling self‑evolving skills that achieve optimal or tied‑optimal results across 52 model‑benchmark‑environment combinations.

AI agentsMicrosoftSkillOpt
0 likes · 12 min read
Microsoft’s SkillOpt Turns Agent Skill Docs into Trainable Parameters for Self‑Evolving AI
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

Defining a Good Answer in the Agent Era: A Rubrics Survey

This survey examines how rubrics can decompose the vague notion of a "good answer" for large language models into concrete, multi‑dimensional evaluation criteria, detailing their definition, construction methods, applications in training and evaluation, and the open challenges they present.

AI alignmentagentic AIevaluation
0 likes · 13 min read
Defining a Good Answer in the Agent Era: A Rubrics Survey
DataFunTalk
DataFunTalk
May 31, 2026 · Artificial Intelligence

The Most Comprehensive Survey of Agent Harness Engineering

This article summarizes the Agent Harness Engineering survey, outlining the evolution from Prompt to Context to Harness engineering, presenting the seven‑layer ETCLOVG framework, benchmark findings, and the shift toward platform‑level observability, governance, and trace‑native evaluation for reliable AI agents.

Agent HarnessContext EngineeringETCLOVG
0 likes · 12 min read
The Most Comprehensive Survey of Agent Harness Engineering
Old Zhang's AI Learning
Old Zhang's AI Learning
May 31, 2026 · Artificial Intelligence

vLLM 0.22 Release: Production-Ready DeepSeek V4 and Extreme KV Cache Compression

The vLLM 0.22 stable release introduces production‑grade DeepSeek V4 support, massive kernel fusions, up to 10‑20× speedups, Batch Invariance with 28.9% latency gain, a Rust front‑end, multi‑level KV cache offload that can double context length, and broad hardware coverage across NVIDIA, AMD, CPU and RISC‑V, making it a pivotal upgrade for inference infrastructure teams.

Batch InvarianceDeepSeek V4Inference Optimization
0 likes · 13 min read
vLLM 0.22 Release: Production-Ready DeepSeek V4 and Extreme KV Cache Compression
James' Growth Diary
James' Growth Diary
May 31, 2026 · Artificial Intelligence

6 Core Techniques to Perfect Multilingual Text Rendering in GPT Image 2

This article outlines six essential prompt‑engineering tricks—using quotation marks, limiting text length, specifying exact position, describing font style, adding a quality statement, and iterative fixes—plus multilingual mixing tips and common error‑recovery methods for reliable Chinese, English, and Japanese text generation with GPT Image 2.

AI image generationGPT Image 2font style
0 likes · 13 min read
6 Core Techniques to Perfect Multilingual Text Rendering in GPT Image 2
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

LMNet: Enabling Language Models to Self‑Organize into Networks

The paper introduces Language Model Networks (LMNet), a framework that lets pretrained large language models act as reusable compute nodes communicating via dense, trainable vectors, showing measurable performance gains on general and supervised adaptation tasks with minimal extra training cost.

ICML 2026LLM collaborationLMNet
0 likes · 10 min read
LMNet: Enabling Language Models to Self‑Organize into Networks
AI Engineering
AI Engineering
May 31, 2026 · Artificial Intelligence

Anthropic’s New Claude Code Plugin Automatically Configures Automations for Your Project

Anthropic quietly released the official claude-code-setup plugin, which scans a repository and recommends suitable MCP servers, skills, hooks, subagents, and slash commands for Claude Code, offering a read‑only analysis that lowers the entry barrier while noting potential noise in large projects and CLI state‑loss issues.

AI assistantAnthropicClaude Code
0 likes · 3 min read
Anthropic’s New Claude Code Plugin Automatically Configures Automations for Your Project
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

How a Near‑Invisible Image Can Make GPT‑5.4 and Claude Opus 4.6 Spread False Claims

Researchers from ETH Zurich show that tiny, human‑imperceptible perturbations to a single image can fool leading visual language models—including GPT‑5.4, Claude Opus 4.6, and Grok—into confidently delivering fabricated answers, enabling misinformation amplification, defamation, content‑filter evasion, and large‑scale AI authority laundering.

AI safetyClaude OpusGPT-5.4
0 likes · 7 min read
How a Near‑Invisible Image Can Make GPT‑5.4 and Claude Opus 4.6 Spread False Claims
Architect's Guide
Architect's Guide
May 31, 2026 · Artificial Intelligence

10 Hot Open‑Source AI Projects on GitHub This Week (Last One Praised by Jensen Huang)

This article reviews the ten fastest‑growing open‑source AI projects on GitHub over the past week, detailing each project's core capabilities, architecture, and impact while highlighting three emerging trends: AI agents becoming production tools, the rise of edge and lightweight deployments, and accelerated open‑source contributions from major tech firms.

AI agentsEdge AIMultimodal
0 likes · 22 min read
10 Hot Open‑Source AI Projects on GitHub This Week (Last One Praised by Jensen Huang)
Java Architect Essentials
Java Architect Essentials
May 31, 2026 · Artificial Intelligence

Codex vs Claude Code: Which AI Assistant Writes Code, Fixes Bugs, and Handles Projects Better?

The article compares OpenAI's Codex and Anthropic's Claude Code, showing Codex’s ease of use for beginners and its tight integration with ChatGPT for code generation, while Claude Code shines in terminal‑centric workflows for seasoned developers, and offers guidance on subscription choices and practical selection criteria.

AI code assistantAnthropicClaude Code
0 likes · 6 min read
Codex vs Claude Code: Which AI Assistant Writes Code, Fixes Bugs, and Handles Projects Better?
Code Mala Tang
Code Mala Tang
May 31, 2026 · Artificial Intelligence

Can Four Sub‑Agents Ship a Feature Overnight? A Deep Dive into the 4‑Agent Pipeline vs Superpowers

The article compares zodchiii's minimalist four‑sub‑agent pipeline with the Superpowers skill‑driven approach, examining context isolation, handoff files, model allocation, testing discipline, review rules, learning curve, and suitability, and concludes with a hybrid recommendation for reliable feature delivery.

AI agentsClaude CodeSuperpowers
0 likes · 14 min read
Can Four Sub‑Agents Ship a Feature Overnight? A Deep Dive into the 4‑Agent Pipeline vs Superpowers