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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

62 recent articles
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 24, 2026 · Artificial Intelligence

How to Build a Truly Usable AI‑Powered Natural Language Query System from Scratch

The article analyzes why natural‑language database queries often fail, outlines four technical routes, presents a five‑layer architecture with a business‑semantic middle layer, shares engineering best practices, a real‑world case study, and a product comparison to guide data companies in designing an effective intelligent query system.

AILarge Language ModelNL2SQL
0 likes · 16 min read
How to Build a Truly Usable AI‑Powered Natural Language Query System from Scratch
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 23, 2026 · Artificial Intelligence

2026 Text2SQL Model Showdown: Which One Performs Best?

This article benchmarks twelve Text2SQL models on the BIRD and Spider datasets, analyzes their accuracy, cost, and deployment options, and provides scenario‑specific recommendations to help enterprises and developers choose the most suitable solution.

AIBIRD benchmarkDeployment
0 likes · 17 min read
2026 Text2SQL Model Showdown: Which One Performs Best?
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 21, 2026 · Artificial Intelligence

HappyOyster: Build an Explorable Interactive World with a Single Prompt

Alibaba’s ATH team unveiled HappyOyster, a real‑time world‑model platform that lets users generate and explore interactive 3D environments from a single sentence or image, offering two modes—Wander for exploration and Direct for creation—while detailing its streaming architecture, multimodal foundation, competitive advantages, use cases, and current limitations.

AI VideoGame DevelopmentReal-Time Interaction
0 likes · 11 min read
HappyOyster: Build an Explorable Interactive World with a Single Prompt
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 21, 2026 · Artificial Intelligence

Hermes Agent vs OpenClaw: Deep 7‑Dimension Comparison to Choose the Right AI Assistant

This article provides a detailed side‑by‑side analysis of Hermes Agent and OpenClaw across seven key dimensions—architecture, memory, skill system, security, platform support, deployment cost, and use‑case suitability—to help readers decide which AI assistant framework best matches their needs.

AI assistantHermes AgentMemory Architecture
0 likes · 13 min read
Hermes Agent vs OpenClaw: Deep 7‑Dimension Comparison to Choose the Right AI Assistant
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.

MLXbenchmarkframework comparison
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