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Lao Guo's Learning Space
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Lao Guo's Learning Space

AI learning, discussion, and hands‑on practice with self‑reflection

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Recent Articles

Latest from Lao Guo's Learning Space

57 recent articles
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 11, 2026 · Artificial Intelligence

2026 AI Agent Showdown: Hermes Agent vs OpenClaw – Which Is the Real Future?

This article provides a detailed side‑by‑side evaluation of Hermes Agent and OpenClaw, covering their architecture, skill systems, memory mechanisms, model support, execution environments, programming capabilities, installation costs, migration tools, and offers a decision tree to help users choose the most suitable AI agent for their workflows.

AI AgentExecution EnvironmentHermes Agent
0 likes · 19 min read
2026 AI Agent Showdown: Hermes Agent vs OpenClaw – Which Is the Real Future?
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 8, 2026 · Industry Insights

Anthropic’s 48‑Hour Ban Triggers OpenClaw’s Bold Counterattack with Video Generation

Anthropic’s sudden removal of third‑party tool quotas on April 4, 2026 forced developers onto costly pay‑as‑you‑go plans, prompting OpenClaw to unveil a rapid v4.5 update—including GPT‑5.4 integration, native video generation, and a pluggable multi‑model architecture—while highlighting broader industry shifts toward vertical integration and developer diversification.

AI modelsAnthropicOpenClaw
0 likes · 7 min read
Anthropic’s 48‑Hour Ban Triggers OpenClaw’s Bold Counterattack with Video Generation
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 8, 2026 · Artificial Intelligence

2026 Qwen Model Comparison: Choose the Right Qwen for Your Mac Studio

An in‑depth 2026 comparative review of Alibaba’s Qwen series (Qwen2.5, Qwen3, Qwen3.5) evaluates architecture, performance, speed and VRAM usage on Mac Studio, ranks each variant, and provides concrete model‑selection guidance for different memory configurations, highlighting the MoE‑based Qwen3.5 as the optimal choice.

AI PerformanceLarge Language ModelMac Studio
0 likes · 9 min read
2026 Qwen Model Comparison: Choose the Right Qwen for Your Mac Studio
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 5, 2026 · Industry Insights

Why AI Won’t Replace You—Only Those Who Master It Will

The article argues that the real threat in the AI era is not the technology itself but the failure to learn how to use AI tools effectively, citing a Stanford report that shows a 40% productivity boost for heavy AI users and offering three practical AI skills to adopt.

AIAI toolsSkill Development
0 likes · 4 min read
Why AI Won’t Replace You—Only Those Who Master It Will
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 4, 2026 · Industry Insights

Anthropic Bans OpenClaw: Implications for AI Platform Lock‑In

Anthropic announced it will block third‑party tools like OpenClaw from accessing Claude’s API, citing user safety, but the move appears driven by revenue concerns and signals a broader trend of major AI firms tightening control over their models, urging users to diversify and stay vigilant.

AI industryAnthropicClaude
0 likes · 4 min read
Anthropic Bans OpenClaw: Implications for AI Platform Lock‑In
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 2, 2026 · Artificial Intelligence

Large Model Pretraining and Fine‑Tuning: A 2026 Technical Guide from Scaling Laws to Post‑Training Revolution

This article explains the full lifecycle of large language models in 2026, covering pretraining fundamentals, the limits of classic Scaling Laws, data‑centric advances, fine‑tuning strategies, RLHF, DPO, and the emerging post‑training methods GRPO, DAPO and RLVR, with concrete benchmarks and cost analyses.

DAPODPOGRPO
0 likes · 17 min read
Large Model Pretraining and Fine‑Tuning: A 2026 Technical Guide from Scaling Laws to Post‑Training Revolution
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 2, 2026 · Operations

Build an OpenClaw Test Bot in Four Steps: Cut Web Regression from Hours to 22 Minutes

The article walks through why manual web regression testing is painful, introduces OpenClaw as an AI‑driven automation platform, and details a four‑step process—defining tasks, configuring browsers, designing logic, and scheduling runs—that reduced a multi‑hour manual test suite to just 22 minutes while highlighting real‑world results and common pitfalls.

AI AgentOpenClawWeb testing
0 likes · 12 min read
Build an OpenClaw Test Bot in Four Steps: Cut Web Regression from Hours to 22 Minutes