BestHub
Sign in
AI2ML AI to Machine Learning
Author

AI2ML AI to Machine Learning

Original articles on artificial intelligence and machine learning, deep optimization. Less is more, life is simple! Shi Chunqi

57
Articles
0
Likes
397
Views
0
Comments
Recent Articles

Latest from AI2ML AI to Machine Learning

57 recent articles
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Oct 9, 2026 · Industry Insights

Cloud AI Agents Hit 90% Accuracy: Meta Muse vs OpenAI Dots vs Google Antigravity

The article analyzes the emergence of cloud-based personal AI agents like Meta's Muse, OpenAI's Dots, and Google's Antigravity, comparing their positioning, capabilities, and ecosystem integrations, while highlighting how 90% tool-calling accuracy and cost efficiency enable this new black-box agent era.

AI AgentsGoogle AntigravityMeta Muse
0 likes · 7 min read
Cloud AI Agents Hit 90% Accuracy: Meta Muse vs OpenAI Dots vs Google Antigravity
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Oct 9, 2026 · Artificial Intelligence

Codex vs Grok Build vs OpenClaude: Architectural Showdown of AI Coding Agents

This article compares the architectures of three terminal-first coding agents — Codex, Grok Build, and OpenClaude — detailing their event-loop styles, model-adaptation layers, sandbox and permission models, verification mechanisms, and editing philosophies, revealing how each handles completion judgment, multi-backend sampling, and safe code modification.

AI coding agentsCodexGrok Build
0 likes · 17 min read
Codex vs Grok Build vs OpenClaude: Architectural Showdown of AI Coding Agents
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Sep 29, 2026 · Artificial Intelligence

Agent Kung-fu: 10 Layers of Control Transfer for Production-Ready Agents

This article presents a 10-level framework for building production-ready AI agents, centered on six critical questions about action control, capability access, conflict resolution, failure handling, knowledge reuse, and causal reasoning, plus four engineering principles emphasizing code-enforced permissions, evaluator-driven loops, identification before optimization, and falsifiable innovation.

AI AgentsAgent ArchitectureAgent Evaluation
0 likes · 5 min read
Agent Kung-fu: 10 Layers of Control Transfer for Production-Ready Agents
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Aug 11, 2026 · Industry Insights

Scaling the Five‑Layer AI Cake: From Discovery Loops to Off‑Grid Power

The article outlines a five‑layer framework for AI scaling—application‑level Discovery Loop, open‑source model advances, compute‑power financialization, autonomous chip production, and off‑grid energy—showing how capital, open‑source ecosystems, and infrastructure are reshaping the path toward AGI.

AI scalingDiscovery LoopTerafab
0 likes · 7 min read
Scaling the Five‑Layer AI Cake: From Discovery Loops to Off‑Grid Power
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Jul 13, 2026 · Artificial Intelligence

From QA to Task‑Oriented Agents: Recent Trends in Large Language Models

The article surveys the latest advances in large language model agents, covering multi‑agent collaboration, long‑horizon planning, self‑evolution, trust and safety, test‑time scaling techniques, new foundation and multimodal models, open‑source and closed‑source breakthroughs, world‑model integration, and emerging vertical applications.

Foundation ModelsLLM AgentsTest-Time Scaling
0 likes · 12 min read
From QA to Task‑Oriented Agents: Recent Trends in Large Language Models
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
May 30, 2026 · Artificial Intelligence

Decoding the Harness Stack: Balancing Human Effort and AI Intelligence

The article analyzes Harness, a 2026 proposal that extends traditional agents with a seven‑layer architecture to fully emulate human experience, discusses rapid upgrades from prompts to skills, outlines development‑stack challenges, and presents six engineering principles for building reliable AI agents.

AGIAI AgentsHarness framework
0 likes · 9 min read
Decoding the Harness Stack: Balancing Human Effort and AI Intelligence
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Apr 28, 2026 · Artificial Intelligence

Which of the Three Types of AI Agents Are You Building?

The article classifies today’s booming AI agents into three categories—foundation‑model RL agents, OpenClaw‑style autonomous agents, and ontology‑driven agents—detailing their architectures, key components, comparative strengths, and how they converge toward the envisioned L4/L5 AGI stages.

AI AgentsLLMReinforcement Learning
0 likes · 9 min read
Which of the Three Types of AI Agents Are You Building?