Look what I vibe coded w/ Claude Code last weekend: ***𝗔 𝗽𝗿𝗶𝘃𝗮𝗰𝘆-𝗳𝗶𝗿𝘀𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗳𝗼𝗿 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀, 𝘃𝗶𝗱𝗲𝗼𝘀, 𝗽𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗮𝗻𝗱 𝗥𝗦𝗦 𝗳𝗲𝗲𝗱𝘀 𝘄𝗶𝘁𝗵 𝗹𝗼𝗰𝗮𝗹 𝗔𝗜*** 🤖

📝 Blog 👉https://www.pietstam.nl/posts/2026-03-14-building-a-privacy-first-research-workflow/
:github: GitHub👉https://github.com/pjastam/ResearchVault
🔨 Installation guide 👉https://pjastam.github.io/ResearchVault/

#Privacy #LocalAI #Zotero #Ollama #Obsidian #ClaudeCode #MacMiniM4

@twostraws I fine-tuned a language model on a MacBook Neo with 8GB of RAM.
Peak memory: 2.3 GB. Training time: 20 minutes. Cost: $0.
None of this works without MLX. Thank you to the MLX team for making local training actually accessible.
Full writeup on what I got wrong and what finally worked:
taylorarndt.substack.com/p/i-trained-an-llm-on-my-macbook-neo
#MLX #AppleSilicon #MacBookNeo #MachineLearning #FineTuning #LocalAI #Swift #Apple

Build log — March 15, 2026

https://youtu.be/-SI-4-gMRuQ

#BuildInPublic #SovereignAI #LocalAI #MirrorBrain

MakeUseOf: I use Linux for local LLMs and everything is easier than Windows. “With the right tools and a bit of restraint, you can now run a genuinely useful ChatGPT-style setup locally on Linux Mint without turning your laptop into a space heater. I know because I just did exactly that on a Ryzen 5 machine with 8 GB of RAM and integrated graphics. Not a powerhouse, or a lab rig. Just a very […]

Medita started as a markdown scratchpad I built for myself years ago. While writing a book, I added a review feature to use as a first pass before sending chapters to my editor.
It flags logical gaps and contradictions. DeepSeek R1 under the hood, fully local via Ollama, or bring your own API key. No subscription, no telemetry.
.
wandersound.ca/medita
#markdown #macos #localai #writingtools

Paul Couvert (@itsPaulAi)

휴대폰 크기 장치로 최대 120B 규모의 로컬 AI 모델을 실행할 수 있다는 발표입니다. 완전 로컬·프라이빗 환경에서 오픈소스 모델을 호스팅하여 OpenClaw 같은 에이전트를 24/7 구동하거나 챗봇을 대체하는 등 다양한 용도로 활용할 수 있다고 설명합니다. 고성능 모델을 저비용으로 엣지에서 운영할 수 있다는 점이 핵심입니다.

https://x.com/itsPaulAi/status/2032819238528811188

#localai #edgeai #opensource #llm

Mark Vassilevskiy (@MarkKnd)

Perplexity가 'Personal Computer'를 발표했습니다. 항상 켜져 있는 로컬-클라우드 병합형 솔루션으로 Perplexity Computer와 연동되어 24/7 동작하며 개인 파일, 앱, 세션 전반에서 작동합니다. 지속 실행되는 Mac mini 기반으로 개인화·보안·연속성(세션 유지)을 강조한 개인용 AI 컴퓨팅 제품입니다.

https://x.com/MarkKnd/status/2032837843857338590

#perplexity #personalcomputer #localai #ondevice #macmini

Build log — March 14, 2026

Shipped today:
• **TriMind v2** (repos/chetana-site/backend/trimind.py) — Thr

https://youtu.be/5ki0HpKtOq8

#BuildInPublic #SovereignAI #LocalAI #MirrorBrain

내가 AI알못이라 내 컴에서 로컬로 돌아갈 수 있는 모델들이 좋은 것들인지 다 한물 지난 것들인지 알 수가 없다...ㅋ

https://www.canirun.ai

#AI #LocalAI #LLM #LocalLLM

Orange Pi 6 Plus | قوة الذكاء الاصطناعي في قبضة يدك

مراجعة كاملة للوحة Orange Pi 6 Plus، أحد أقوى الحواسيب الصغيرة (SBC) المتوفرة حاليًا.

https://youtu.be/XjpD2-9rpYI

#لينكس
#OrangePi
#RaspberryPi
#LocalAI
#AI

Build log — March 13, 2026

Shipped today:
• **Legacy LaunchAgent Bounded Healer** (/Users/mirror-admin/.
• **Multi-Model Spawning** (line 383) — Spawns agents with Cla
• **Output Chaining** (line 197) — `inject_dependency_results(

https://youtu.be/cMy8VBtchFk

#BuildInPublic #SovereignAI #LocalAI #MirrorBrain

Tested Google's Gemma3 12B QAT on my home Linux server. Stable 97% GPU utilization, no CPU spill, no logic errors. Mistral Nemo 12B beats it on speed & uses 2 GB less VRAM. Those extra 2 gig could run a second model on a 16GB card.
Gemma 12B is correct, thorough and about as warm as a DMV waiting room.

Full breakdown below.

#AI #LocalAI #OpenSource #Gemma #MachineLearning

https://goarcherdynamics.com/2026/03/13/aihome-gemma-3-12b/?utm_source=mastodon&utm_medium=jetpack_social

New update for the slides of my talk "Run LLMs Locally":

Now including Reranking, Qwen 3.5 (slower than Qwen 3, but includes Vision) and loading models with Direct I/O.

https://codeberg.org/thbley/talks/raw/branch/main/Run_LLMs_Locally_2025_ThomasBley.pdf

#llm #llamacpp #ollama #stablediffusion #gptoss #qwen3 #glm #opencode #localai #mcp

Today I ran a local AI model for the first time.
For a moment it felt like being a kid again — that same curiosity, that same flow where hours disappear without noticing.
And we’re only at the beginning.
https://richardgolian.com/article/today-i-tried-running-a-local-ai-model-for-the-first-time
#AI #LocalAI #ArtificialIntelligence #Tech

For those using ollama, the m5 is pretty sexy for the cost.

But the m6 may be coming out soon too.

In the rush for getting things out, a price drop on the m5s might be coming soon once apple releases the ultra. Maybe this year.

I suggest waiting.

https://www.notebookcheck.net/Apple-M5-Pro-M5-Max-GPU-Analysis-M5-Max-GPU-on-par-with-the-GeForce-RTX-5070-and-faster-than-Strix-Halo.1246060.0.html

#m5 #ollama #localai

New blog post: wiring n8n + Ollama into my K3s homelab so Prometheus alerts get AI triage before hitting Telegram 🤖

Highlights:
- CNPG + Redis as deps
- Python in n8n requires an external task runner sidecar ("Enterprise" feature, but easily bypassed with extraContainers 🙃)
- Telegram MarkdownV2 is cursed. Solved it with a system prompt instead of post-processing 🧠

https://cowley.tech/posts/2026/03/n8n_ollama/

#Kubernetes #Homelab #n8n #Ollama #Prometheus #SelfHosted #LocalAI #DevOps

Beelink announces Lobster Red OpenClaw mini PCs built for local AI

https://fed.brid.gy/r/https://nerds.xyz/2026/03/beelink-openclaw-mini-pc/

Plugable TBT5-AI enclosure lets Windows laptops run local AI with a desktop GPU

https://fed.brid.gy/r/https://nerds.xyz/2026/03/plugable-tbt5-ai-enclosure/

One more update for the slides of my talk "Run LLMs Locally":

Now including text to speech with Qwen3-TTS and Model Context Protocol.

https://codeberg.org/thbley/talks/raw/branch/main/Run_LLMs_Locally_2025_ThomasBley.pdf

#llm #llamacpp #ollama #stablediffusion #gptoss #qwen3 #glm #opencode #localai #mcp

Giving #ZimaBoard2 a brain of its own and building a local AI #agent that EARNS money? 🤯
Such a fun “Building Chappie” experiment!
https://youtu.be/gu14bTBv3eA?si=UES9lRxy-dhRP5us

#LocalAI #SelfHosted #HomeServer #ubuntu #json