@Honcia13: Tencent tech expert personally appears for hands-on teaching! In just 37 minutes, even a zero-basis beginner can use AI programming to develop a local errand mini-program + APP! The entire process is recorded in super detail, every step explained clearly, easy to understand and get it done in one go! If you want to quickly get started with AI development side hustles/projects, this wave of dry goods must be arranged

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Summary

Tencent tech expert releases a 37-minute AI programming tutorial, teaching zero-basis users to develop a local errand mini-program and APP, while also introducing the Rapid-MLX tool, claiming it is 2-4 times faster than Ollama on Apple Silicon.

Tencent tech expert personally appears for hands-on teaching! In just 37 minutes, even a zero-basis beginner can use AI programming to develop a local errand mini-program + APP! The entire process is recorded in super detail, every step explained clearly, easy to understand and get it done in one go! If you want to quickly get started with AI development side hustles/projects, this wave of dry goods must be arranged https://t.co/GHXlz6Ao6m
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Cached at: 05/29/26, 07:59 AM

Tencent tech expert personally appears in the video, step-by-step tutorial!
Just 37 minutes,
even a total beginner can use AI programming to build a local errand-running mini-program + app!

The entire recording is super detailed, every step is explained clearly,
easy to understand, and you can get it done in one go!
For those who want to quickly get started with AI development side hustles/projects,
this must-watch content is ready for you 👉 https://t.co/GHXlz6Ao6m

GOLD (@Honcia13):
Attention all Mac users running local LLMs!
There’s something you might not have tried yet — Rapid-MLX

A local LLM inference service built specifically for Apple Silicon (M-series chips).
The core takeaway:
It’s noticeably faster than Ollama — official benchmarks show 2–4× speedup!
It uses Apple’s official MLX framework, fully optimized for the M-chip architecture.
What really stands out:

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