#local ai

[undefinedreverie]

Using an AI locally is unironically the best and funniest way to use AI

Because like ofc there are the environmental concerns of big ai but like just run a very stupid small model on your laptop and believe me its so fun it is unable to code whole programs and can only correct your syntax etc which is the best way to program with and since you have full control over its system prompt you can make the most unhinged assistants.. and watch them crash out over a the use of snake case for function name and it kinda like relieves the stress those extended shifts.. its like having a comedian by your side while you work excerpt the comedian is also a computer engineer and can actually help you..

[bretbernhoft]

Tonight I switched from Claude Code to OpenCode, so my development work utilizes and depends on computer hardware running in my local homelab. Meaning I am self-sufficient with how I use artificial intelligence; an exotic technological dream come true.

The immediate benefits of moving to OpenCode include:

1 - Significant cost reduction 2 - Zero telemetry or vendor/platform lock-in 3 - Deep hands-on learning and skills growth 4 - Complete control, responsibility and ownership

Setting up OpenCode was an uphill process of debugging and experimentation. But after several hours, I am using Gemma 4 12B (served via Ollama) inside Visual Studio Code. Which is a clear win in my opinion.

The limitations of using OpenCode versus a cloud AI provider are largely determined by the computers I have access to. An example of why I began investing in homelab equipment in the first place.

Simply put, the deeper I adventure into the possibilities of locally hosted AI, the more satisfied and impressed with the choice to do so I become.

[technology-2]

You can do a lot without sending data to the cloud.

[technology-2]

[technology-2]

Enterprise Document Intelligence [Vol.1 #8B] - A fixed BASE, the rules each question needs, one registry: the dispatcher that turns a parsed

Man, I don't understand most of the stuff. But I have a feeling that people are pushing LLM really hard. They treat LLM like an obedient worker where they set rules for LLM to follow.

[technology-2]

I can now spin up new containers with simple conversational prompts

[rexthonyy]

Apple's On-Device AI: The Quiet Revolution for Edge Computing and Local-First Apps

Cloud AI costs too much? Apple's on-device models run at 525 tokens/sec with data that never leaves your phone. See why local-first apps are

[aihardware]

How to Choose the Best Mini PC for Local AI in 2026

A mini PC the size of a paperback can now run a 200-billion-parameter model locally. But choosing one isn't about the lowest price tag. Capacity sets what fits, bandwidth sets how fast it runs, and the software stack — CUDA, ROCm, or Metal — decides whether your tools work at all. Here's how the four real options compare in 2026, with current prices and benchmarks. https://www.buysellram.com/blog/how-to-choose-the-best-mini-pc-for-local-ai-in-2026/

How to Choose the Best Mini PC for Local AI in 2026

LocalAI #LLM #MiniPC #AIhardware #StrixHalo #DGXSpark #AppleSilicon #EdgeAI #AIinfrastructure #Ollama #RyzenAI #AIPC #AMD #NVIDIA #Apple