▲ 2 r/macbookpro14+1 crossposts

Question about MacBook charger duckhead durability

I’m about to buy an expensive MacBook Pro M5 Pro, so I’m gathering as much verified information as possible before investing.

Depending on the power socket available, I’ll sometimes use the duckhead directly and sometimes a 3-pin AC extension/power cord. This means I may need to detach/attach the duckhead 3–4 times a day, always gently and carefully.

My concern: can frequent attachment/removal eventually make the duckhead connection loose after months or years?

Has anyone used their MacBook charger this way for a long time? I’d really appreciate firsthand experience or reliable information rather than guesses. Thanks!

reddit.com
u/viggo2421 — 14 days ago

Thinking of buying a MacBook Air M5 32GB (10 core CPU, 10 core GPU) with 1TB SSD as my main work laptop. Would love some real-world opinions

Hey Everyone,

I'm a UX/UI + Product Designer and I'm seriously considering getting a MacBook Air M5 with 32GB unified memory and 1TB SSD.

Before spending that kind of money, I'd really like to hear from people who actually own/use the M5 Air, especially designers, developers, or people running local AI.

A little about my workload:

I'm not a gamer, and I don't do heavy video editing. My work is mainly:

  • UX/UI & Product Design
  • Figma, Sketch, Lunacy, Axure
  • Photoshop, Illustrator, CorelDRAW/Affinity
  • PowerPoint — quite heavily
  • Prototyping and design systems
  • HTML/CSS/JS
  • Building small web apps and tools
  • AI-assisted coding / vibe coding
  • Using AI for design ideation and content
  • Some animation/video occasionally, but very little

I've also become increasingly interested in local/offline AI.

At the moment I have a Lenovo LOQ (i5-12450HX, RTX 3050 6GB, 16GB RAM, 512GB SSD) and I've been experimenting with Ollama and small Qwen models. I've even made a portable local-AI setup on a USB drive.

I'm not trying to train AI models locally. I'm mainly interested in:

  • Ollama
  • AnythingLLM
  • Local coding assistants
  • 4B/7B/8B-ish models or higher depending how much Macbook Air M5 32 GB can handle
  • Possibly experimenting with somewhat larger quantized models
  • Local image generation occasionally
  • AI-assisted development

Would really appreciate honest experiences. Thanks in advance!

reddit.com
u/viggo2421 — 21 days ago