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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 20, 2026 · Artificial Intelligence

12 Legal Ways to Access Foreign LLMs from China (2026 Test)

The article evaluates twelve legitimate, free methods for accessing overseas large language models from within China in 2026, categorizing options that require direct domestic connectivity, domestic alternatives, and international platforms with free tiers, and provides usage examples, free quotas, suitable scenarios, and step‑by‑step setup instructions.

AI PlatformsChinaFree API Access
0 likes · 14 min read
12 Legal Ways to Access Foreign LLMs from China (2026 Test)
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 20, 2026 · Artificial Intelligence

Claude Opus 4.7: Programming Power Peaks but Faces ‘Dumbing‑Down’ Criticism

Anthropic’s Claude Opus 4.7 launches with record‑breaking programming benchmarks, a new xhigh effort mode and a free 1 M‑token context window, yet an AMD audit reveals a steep drop in real‑world engineering accuracy, reduced cache TTL and a shift to usage‑based pricing that has sparked community backlash.

1M token contextAI benchmarksClaude Opus 4.7
0 likes · 10 min read
Claude Opus 4.7: Programming Power Peaks but Faces ‘Dumbing‑Down’ Criticism
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 19, 2026 · Artificial Intelligence

Which Framework Wins for Running Large Models? vLLM vs llama.cpp vs MLX (2026 Deep Comparison)

The article provides a 2026 deep comparative analysis of three major large‑model inference frameworks—vLLM, llama.cpp, and MLX—detailing their core designs, recent updates, benchmark results on various hardware, deployment complexity, and recommended use cases to help developers choose the right tool.

Framework ComparisonMLXbenchmark
0 likes · 15 min read
Which Framework Wins for Running Large Models? vLLM vs llama.cpp vs MLX (2026 Deep Comparison)
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 18, 2026 · Artificial Intelligence

How Alibaba’s Meoo Lets Anyone Build a Full Website in One Minute

Alibaba’s Meoo is a zero‑code AI tool that claims to turn a natural‑language idea into a complete front‑ and back‑end web application in about a minute, using four domestic large models, a swarm‑Agent architecture, and deep integration with Alibaba Cloud, while offering dramatic time‑saving compared to traditional development.

AI agentsAI code generationAlibaba
0 likes · 10 min read
How Alibaba’s Meoo Lets Anyone Build a Full Website in One Minute
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 16, 2026 · Artificial Intelligence

Why Alibaba Unveiled Three New LLMs in One Week—and What It Means for China’s AI Landscape

In the first week of April 2026, Alibaba’s Tongyi Lab launched three purpose‑built large language models—Qwen3.6-Plus for programming, Qwen3.5-Omni for multimodal tasks, and Qwen3 Coder Next for repository‑level coding—illustrating a strategic shift from pure benchmark races to targeted, cost‑effective deployment across distinct AI battlefields.

AlibabaLarge Language ModelQwen3-Coder-Next
0 likes · 15 min read
Why Alibaba Unveiled Three New LLMs in One Week—and What It Means for China’s AI Landscape
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 15, 2026 · Industry Insights

Why $581 B in AI Spending Yields 95% Zero Return – Stanford Report

The Stanford 2026 AI Index reveals that $581 billion was poured into AI in 2025, yet 95% of enterprises saw no measurable return, highlighting an efficiency paradox, learning penalties, uneven AI capabilities, low model transparency, and a narrow path to real productivity gains.

AI Industry AnalysisAI investmentAI productivity paradox
0 likes · 11 min read
Why $581 B in AI Spending Yields 95% Zero Return – Stanford Report
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 12, 2026 · Artificial Intelligence

Who Wins the AI Video Throne? HappyHorse-1.0 vs ByteDance Seedance 2.0

The article dissects the April 2026 showdown between the anonymous 15‑billion‑parameter HappyHorse‑1.0 and ByteDance’s two‑year‑old Seedance 2.0, detailing Elo score gaps, contrasting single‑stream versus dual‑branch Transformer designs, speed advantages, quality trade‑offs, and offering a decision tree for different production needs.

AI videoElo rankingmodel comparison
0 likes · 11 min read
Who Wins the AI Video Throne? HappyHorse-1.0 vs ByteDance Seedance 2.0
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 12, 2026 · Industry Insights

How 1/10 Pricing Drives Chinese LLMs to 10× Market Share

The article analyzes how Chinese large language models like GLM‑5.1, Qianwen 3.6‑Plus and Gemma 4 achieve roughly one‑tenth the cost of GPT‑5.4, leading to dramatically higher profit margins, silent migration in Silicon Valley, and a rapid rise in market share backed by a maturing ecosystem.

AI model ecosystemChinese LLMGLM-5.1
0 likes · 10 min read
How 1/10 Pricing Drives Chinese LLMs to 10× Market Share