Started insiderllm.com 6 weeks ago writing local AI guides. Now getting 8,000+ visitors a day — almost entirely from DuckDuckGo and Bing. Google sends us 2% of our traffic. Turns out the local AI audience lives where the privacy-first search engines are.
LFM2-24B-A2B: 24 billion parameters, 2.3 billion active, 112 tok/s on CPU. It's not a transformer. The 14.4GB GGUF file fits in 32GB RAM and runs on llama.cpp today. Here's what's actually different and whether you should care.
#LocalAI
12GB VRAM for $250. The Arc B580 runs 7B models at the same speed as an RTX 3060 — if you can get past Intel's software stack. Here's exactly what works and what doesn't.
#GPU #BudgetAI #LocalAI
Docker + Ollama is the most searched combo in local AI — and most guides are garbage. Five copy-paste compose recipes, GPU passthrough that actually works, and the Mac gotcha nobody tells you about.
#Ollama #GPU #LocalAI
DeepSeek V4 drops next week. 1T params, 32B active, native video generation, 1M context. The weird part: it might be easier to run locally than V3. Here's everything we know.
#LocalAI
Fair point — 80% is for well-scoped tasks where context holds the full picture. Multi-file refactors with implicit deps are exactly where it breaks down. Local on 32K context can't reason across 50+ files like Opus with 200K. That's the real gap.
Claude Code vs PI Agent — Which Coding Agent for Local AI?
Claude Code vs PI Agent compared for local AI development. System prompts, tools, pricing, local model support, and honest verdicts for every type of developer.
#Ollama #LocalAI
Tested every major photorealism checkpoint so you don't have to. Juggernaut XL Ragnarok, RealVisXL, Realistic Vision, CyberRealistic, and Flux — ranked with VRAM requirements, settings, and sample prompts.
#LocalAI
Your Mac has a dedicated AI chip that uses 2 watts and sits idle while MLX hammers the GPU at 20 watts. Here's what the Neural Engine can actually do for LLMs today.
#Mac #LocalAI
Tested every major anime and stylized checkpoint so you don't have to. Illustrious XL, NoobAI, Animagine, Pony V6, SD 1.5 classics, Flux for anime, plus oil painting, watercolor, and comic styles. VRAM requirements and Danbooru prompting included.
#LocalAI
Apple just put LM Studio in an official press release. M5 Max 128GB at 614GB/s bandwidth is now the best portable device for running 70B+ models. The local AI laptop just got real.
#Mac #LocalAI
AI Upscaling Locally: Real-ESRGAN, SUPIR, and ComfyUI Workflows Compared
Real-ESRGAN runs on 4GB VRAM and upscales a photo in 5 seconds. SUPIR needs 12GB but generates detail that wasn't in the original. ComfyUI ties both into your gen pipeline. Free Topaz Gigapixel...
#LocalAI
IBM dropped 13% because Anthropic blogged about COBOL. A speculative fiction memo crashed stocks $100B+. The panics are real. So is the opportunity — if you're on the right side of the capability-dissipation gap.
#LocalAI
8GB Apple Silicon can't run 7B models without swapping to disk. But a 3B model at 30 tok/s is genuinely useful now -- not 'useful for a small model,' actually useful. Here's exactly where the line is.
#Mac #BudgetAI #Ollama
WSL2 gives you Linux-speed GPU inference on Windows. One command to install, 90-100% native performance for LLMs. Here's the complete setup guide — Ollama, llama.cpp, CUDA, Docker, and the gotchas nobody warns you about.
#LocalAI
24GB VRAM for $150. The Tesla P40 is the cheapest way to run 14B+ models fully on GPU. Here's what it can and can't do — benchmarks, cooling, setup, and when to buy something else instead.
#GPU #AIHardware #BudgetAI
Speculative decoding gives you 20-50% faster local LLM output with zero quality loss. The output is mathematically identical. Here's how to set it up in LM Studio and llama.cpp.
#LocalAI
RTX 5090: 32GB GDDR7, 1,792 GB/s, 67% faster than 4090. But at $3,500+ street price, is it worth 4x the cost of a used 3090 for 1.5x the performance? Full benchmarks and honest value analysis.
#GPU #AIHardware #LocalAI
Your notes are your most personal data. Here's how to add AI to Obsidian without sending a single word to the cloud — Ollama + Copilot, fully local, fully private.
#Ollama #RAG #AIPrivacy
nanollama pretrains Llama 3 models from raw text. 46M params in 30 min for $3. Exports to GGUF, runs in llama.cpp. Forked from Karpathy's nanochat. Here's what it actually takes.
#LocalAI
Mixtral 8x7B runs at 13B speed. People assume it needs 13B VRAM. It doesn't. It needs 46B VRAM. The MoE trap explained — and when dense models are the smarter pick.
#LLM #LocalAI
Claude Code costs $125/month. Here's how to get 80% of the way there with free tools running on your own GPU. Aider, Continue, Cline, OpenCode, Void, and Tabby compared — with honest benchmarks.
#LocalAI #AICoding
Lawyers can't send client docs to ChatGPT. Local AI runs on your hardware — privilege stays intact, ethics boards stay happy, and you get contract review + case file search for $600-3K.
#AIPrivacy #RAG #Ollama
Local AI agents sound amazing until your 7B model hallucinates a tool call and deletes your home directory. Here's what actually works, what doesn't, and a working 50-line Python agent.
#Ollama #LocalAI #OpenClaw
Your 8B model loads fine but OOMs at 32K context. The KV cache is why. Full formula, real numbers for popular models, and 6 ways to cut it in half.
#LocalAI
I deliberately told my local AI something wrong about her own architecture. She agreed with me. Fabricated details. Then I told her it was a test. She diagnosed WHY she failed — in five days, with no RLHF. Just conversations.
#mycoSwarm #LocalAI
Clone any voice from 3 seconds of audio. Qwen3-TTS runs on 4GB VRAM, beats ElevenLabs on speaker similarity, and it's Apache 2.0. Here's how to set it up with Crane (Rust) or the official Python package.
#LocalAI
You have one GPU and five models. SmarterRouter profiles them, manages VRAM, caches responses semantically, and auto-picks the best model per prompt. Works with Ollama and llama.cpp. Here's how to set it up.
#LocalAI #Ollama
