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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

69 recent articles
Lao Guo's Learning Space
Lao Guo's Learning Space
Jul 2, 2026 · Artificial Intelligence

Learn AI from Scratch: 4 Stages to Save Two Years of Mistakes

This article presents a four‑stage learning roadmap—from foundational math and Python, through core machine‑learning concepts and classic algorithms, to deep‑learning fundamentals and large‑model practice—offering concrete resources, hands‑on project ideas, and common pitfalls to help beginners become project‑ready in 6‑10 months.

AI learning roadmapMath foundationsPractical projects
0 likes · 12 min read
Learn AI from Scratch: 4 Stages to Save Two Years of Mistakes
Lao Guo's Learning Space
Lao Guo's Learning Space
Jun 13, 2026 · Industry Insights

Why the US Government Shut Down Claude Fable 5 After Just Four Days

The US Commerce Department issued an emergency export‑control order that forced Anthropic to halt access to Claude Fable 5 and Mythos 5 worldwide within four days of launch, citing a narrow, non‑general jailbreak that could fix code vulnerabilities and thus posed a national‑security threat.

AI regulationAnthropicClaude Fable 5
0 likes · 12 min read
Why the US Government Shut Down Claude Fable 5 After Just Four Days
Lao Guo's Learning Space
Lao Guo's Learning Space
Jun 12, 2026 · Artificial Intelligence

Claude Fable 5 Deep Dive: First Public Mythos‑Level Model That Crushes All Benchmarks

Anthropic’s Claude Fable 5, released on June 9, is the first publicly available Mythos‑level model that outperforms competitors across code, reasoning, and visual benchmarks, demonstrates autonomous long‑run operation, powers real‑world cases like Stripe’s massive code migration, and introduces a controversial safety‑degradation system.

AI benchmarksAI collaborationClaude Fable 5
0 likes · 11 min read
Claude Fable 5 Deep Dive: First Public Mythos‑Level Model That Crushes All Benchmarks
Lao Guo's Learning Space
Lao Guo's Learning Space
Jun 10, 2026 · Artificial Intelligence

2026 Top 10 Local LLMs Ranked by Real Downloads, GPU Fit, and License Risks

The article analyzes why local large‑language‑model deployment is essential for privacy, offline use, and cost control, then ranks the ten most popular models in 2026 using Ollama download counts, GitHub stars, benchmark scores, and hardware requirements, and finally provides a GPU‑based selection guide, deployment‑tool comparison, license‑risk table, decision‑tree and quick‑start instructions.

GPULLMLicense
0 likes · 19 min read
2026 Top 10 Local LLMs Ranked by Real Downloads, GPU Fit, and License Risks
Lao Guo's Learning Space
Lao Guo's Learning Space
Jun 3, 2026 · Industry Insights

Can Apple’s M5 Ultra Still Compete After NVIDIA’s RTX Spark Launch?

The RTX Spark desktop processor delivers 1 PFLOP of AI compute—about 14 times the M5 Ultra—while the M5 Ultra retains a three‑times higher memory bandwidth and twice the memory capacity, making it superior for certain inference workloads; the article breaks down specs, benchmarks, ecosystem differences, pricing and market positioning to show how each platform fits distinct AI use cases.

AI computeApple M5 UltraCUDA
0 likes · 12 min read
Can Apple’s M5 Ultra Still Compete After NVIDIA’s RTX Spark Launch?
Lao Guo's Learning Space
Lao Guo's Learning Space
May 13, 2026 · Artificial Intelligence

Can Trillion-Parameter Models Skip ‘Slow Thinking’? Ant’s Ling‑2.6‑1T Redefines Efficient LLMs

Ant’s newly released Ling‑2.6‑1T, a trillion‑parameter LLM, combines a hybrid MLA‑plus‑Linear Attention architecture to deliver 256K context, ultra‑low token cost and millisecond‑level latency, achieving GPT‑5.4‑level performance on multiple benchmarks while being open‑sourced for developers.

Ant AIFast ThinkingLLM Benchmark
0 likes · 10 min read
Can Trillion-Parameter Models Skip ‘Slow Thinking’? Ant’s Ling‑2.6‑1T Redefines Efficient LLMs
Lao Guo's Learning Space
Lao Guo's Learning Space
May 12, 2026 · Artificial Intelligence

Demystifying the Core Technologies Behind ChatGPT, GPT‑4, and DeepSeek

This article breaks down the key algorithms that power large‑language models—Transformer, Mixture‑of‑Experts, Flash Attention, KV‑Cache, Multi‑Token Prediction, quantization, Chain‑of‑Thought and Retrieval‑Augmented Generation—explaining how each contributes to the performance of ChatGPT, GPT‑4 and DeepSeek.

Flash AttentionKV cacheMixture of Experts
0 likes · 10 min read
Demystifying the Core Technologies Behind ChatGPT, GPT‑4, and DeepSeek
Lao Guo's Learning Space
Lao Guo's Learning Space
May 12, 2026 · Artificial Intelligence

Which Inference Framework Maximizes Your GPU Performance in 2026?

This article compares six popular LLM inference frameworks—vLLM, TensorRT‑LLM, llama.cpp, ds4.c, Ollama, and Omlx—across performance, ease of use, and hardware compatibility, then provides a practical matrix to help users select the best fit for their GPU.

Apple SiliconGPU performanceLLM inference
0 likes · 10 min read
Which Inference Framework Maximizes Your GPU Performance in 2026?