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たたかおかniixo.hashnode.dev1d ago · 3 min read

Why Chromium/CEF apps render a black window under Wine (and how to fix it with macOS IOSurface)

The problem I was trying to run a Windows-only Steam game on an Apple Silicon Mac using a self-built Wine + DXMT (D3D11→Metal) stack — no commercial CrossOver. The last wall: the window opens, but its

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Ssatyasutarprimitives.hashnode.devJun 13 · 11 min read

Building an Enterprise Second Brain Locally with MLX + OpenCode

What Is an Enterprise Second Brain? The term "second brain" was popularized by productivity thinkers as a way to describe an external system for capturing, organizing, and retrieving knowledge — freei

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SSurajblog.surajdev.techApr 30 · 18 min read

How I Run a Full AI Coding Stack Locally Zero Cost, Zero Cloud, Zero Compromise

Before We Start, What You'll Actually Get From This This is not a "look what AI can do" post. This is a documented, real-world setup guide written by a DevOps engineer who got tired of sending infrast

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DDilberdilber.hashnode.devApr 16 · 8 min read

Why Tokens Per Joule Matters More Than Tokens Per Second

Most GPU benchmarks report tokens/sec, but that metric ignores the dominant driver of real-world inference cost: energy. I built a cross-platform telemetry suite to measure Tokens Per Joule (T/J) — to

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VBVlad Butacuomniforge.onlineApr 15 · 8 min read

Your Local LLM Is Slow Because of Five Config Flags

Your model fits in memory. You load it up, send a prompt, and watch it choke halfway through a conversation. Or it runs, but at 3 tokens per second on hardware that should do better. You picked the ri

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AWAlan Westalan-west.hashnode.devApr 6 · 5 min read

Ollama Just Got 93% Faster on Mac. Here's How to Enable It.

My M4 Max was decoding Qwen3.5 at 58 tokens per second yesterday. Today it's doing 112. Same model, same hardware, same prompt. The only thing that changed was a single environment variable. Ollama 0.19 shipped on March 31, 2026 with a preview of its...

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FEFazm Engineeringfazm.hashnode.devMar 18 · 3 min read

On-Device AI on Apple Silicon - What It Means for Desktop Agents

Apple Silicon changed what is possible for local AI. The unified memory architecture means ML models can run on the GPU without copying data between CPU and GPU memory. For a desktop agent that needs to process screen content in real-time, this matte...

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BKBhavesh Kumaraiwithbhavesh.hashnode.devMar 7 · 26 min read

Fine-Tune Llama 3.2 on Your MacBook: Build a Text-to-SQL Model with Just 18GB RAM

Every tutorial on fine-tuning LLMs starts the same way: "Spin up an A100 on AWS..." Not this one. In this guide, you'll fine-tune Meta's Llama 3.2 1B into a Text-to-SQL assistant — entirely on your Ma

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HHongsaysomething.hashnode.devFeb 9 · 5 min read

Apple Silicon's Heterogeneous Design: Unlocking Performance & Efficiency for Developers

If you’ve ever used a Mac with Apple silicon, you’ve likely felt its speed and endurance. Apps launch instantly, video renders smoothly, and your battery seems to last forever—even with dozens of browser tabs open. While it's easy to credit this to “...

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AMAyub Mkopitalk.hashnode.devFeb 6 · 4 min read

Local LLM on Mac and access it via iPhone (Securely)

Why I Wanted to Do This I wanted to see if I could: Run a large language model locally Use it outside my Mac, especially from my iPhone Keep everything private and under my control Avoid exposing any service to the public internet Still keep the...

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#apple-silicon

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Trending tags this week

Why Chromium/CEF apps render a black window under Wine (and how to fix it with macOS IOSurface)

Building an Enterprise Second Brain Locally with MLX + OpenCode

How I Run a Full AI Coding Stack Locally Zero Cost, Zero Cloud, Zero Compromise

Why Tokens Per Joule Matters More Than Tokens Per Second

Your Local LLM Is Slow Because of Five Config Flags

Ollama Just Got 93% Faster on Mac. Here's How to Enable It.

On-Device AI on Apple Silicon - What It Means for Desktop Agents

Fine-Tune Llama 3.2 on Your MacBook: Build a Text-to-SQL Model with Just 18GB RAM

Apple Silicon's Heterogeneous Design: Unlocking Performance & Efficiency for Developers

Local LLM on Mac and access it via iPhone (Securely)