Old Zhang's AI Learning
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Old Zhang's AI Learning

AI practitioner specializing in large-model evaluation and on-premise deployment, agents, AI programming, Vibe Coding, general AI, and broader tech trends, with daily original technical articles.

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Latest from Old Zhang's AI Learning

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Old Zhang's AI Learning
Old Zhang's AI Learning
Jul 3, 2026 · Artificial Intelligence

Why Codex’s Office Skills Are Seriously Underrated: Word, Excel, PPT, and PDF All Integrated into Workflows

The author demonstrates how OpenAI Codex can act as a full‑featured office assistant, using plugins to read PDFs, extract data into spreadsheets, draft Word documents, design PowerPoint presentations, and combine everything via Sites and annotations into a seamless, end‑to‑end workflow.

AI AgentsExcel AutomationOpenAI Codex
0 likes · 8 min read
Why Codex’s Office Skills Are Seriously Underrated: Word, Excel, PPT, and PDF All Integrated into Workflows
Old Zhang's AI Learning
Old Zhang's AI Learning
Jul 1, 2026 · Databases

Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models

The article argues that as AI agents replace human users, the real bottleneck for enterprise AI shifts from model performance to data infrastructure, and explains how OceanBase’s AI‑native database—Lakebase—addresses multimodal data, hybrid search, agent safety, and massive logical tables to enable production‑grade AI applications.

AI DatabaseAgent-friendlyData Infrastructure
0 likes · 16 min read
Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 29, 2026 · Artificial Intelligence

How Nvidia’s NVFP4 Cuts GLM‑5.2 Deployment Cost by Half

Semgrep’s benchmark shows open‑source GLM‑5.2 matching Claude’s performance while costing only $0.17 per vulnerability, and Nvidia’s NVFP4 quantization halves the model’s memory footprint with virtually unchanged accuracy, making local deployment on 8‑GPU systems far more affordable.

AI deploymentGLM-5.2Model Quantization
0 likes · 11 min read
How Nvidia’s NVFP4 Cuts GLM‑5.2 Deployment Cost by Half
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 29, 2026 · Backend Development

How the New z‑skills Video Download Split Improves Knowledge‑Gathering Workflows

The author refactors the z‑skills suite by separating video link discovery (z‑web‑pack) from actual downloading (z‑video‑downloader), explains why the split solves performance and reliability issues, details four concrete code and documentation changes, and shows a simple usage pattern for the updated skills.

PythonWeb Scrapingtool architecture
0 likes · 7 min read
How the New z‑skills Video Download Split Improves Knowledge‑Gathering Workflows
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 27, 2026 · Artificial Intelligence

GPT-5.6 Unveiled: Massive Power, Tiered Pricing, and Limited Access

OpenAI's GPT-5.6 arrives with three tiered models (Sol, Terra, Luna), new max and ultra reasoning modes, benchmark breakthroughs in programming, biology, and security, extensive multi‑layer safety guards, a steep pricing structure, and a tightly controlled preview rollout.

AI modelGPT-5.6benchmark
0 likes · 11 min read
GPT-5.6 Unveiled: Massive Power, Tiered Pricing, and Limited Access
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 26, 2026 · Artificial Intelligence

Claude‑style 9B Model with 1M‑Token Context Runs Locally

Qwythos‑9B, a Qwen3.5‑9B model fine‑tuned with over 500 M Claude‑style tokens, offers a 1 M‑token YaRN context, native function calling and tool‑augmented self‑correction, outperforms its base on MMLU and gsm8k benchmarks, and provides GGUF quantizations for consumer‑grade GPU deployment.

1M tokenClaudeFunction Calling
0 likes · 15 min read
Claude‑style 9B Model with 1M‑Token Context Runs Locally