Best Way to Run 31B Models on a Laptop? Treat Them Like Databases LARQL decompiles transformer weights into a queryable graph called a vindex. The project pitches a new shape for local inference: walk a subgraph, patch facts, stream from disk. Here's what's real, wh...

New on InsiderLLM: LARQL argues the FFN inside your transformer is already a graph database.

Extract it, patch it with 10KB files, walk it with KNN instead of dense matmul. Run bigger models on modest hardware.

Compelling idea. Author-only benchmarks. Honest take:

insiderllm.com/guides/run-3...

Anthropic Just Cut Off OpenClaw Users — Why Local Models Matter More Than Ever Starting April 4, Claude subscribers can no longer use their subscription for OpenClaw and other third-party harnesses. If you were relying on cloud AI for your agent, here's how to go fully local.

Anthropic just cut off Claude subscriptions for OpenClaw and third-party harnesses. If you're running agents, here's what changed and how to go fully local.

insiderllm.com/guides/anthr...

Google just dropped Gemma 4 under Apache 2.0. The 26B-A4B MoE hits 150 tok/s on an RTX 4090 with only 3.8B active params. The 31B dense scores 89.2% on AIME and ranks #3 among open models on LMArena. And it does vision, video, and audio. Here's what fits your GPU.

#LLM #LocalAI

Claude Code's leaked 512K-line TypeScript codebase contains 12 architecture patterns that matter for local AI. The top 6 solve problems that local users hit HARDER than cloud users -- smaller context windows, weaker models, consumer hardware that crashes. Here's the engineering breakdown, ranked ...

Everyone's focused on the Claude Code leak drama. Here's what actually matters: 12 architecture patterns ranked by payoff for local AI builders. The top 6 solve problems that LOCAL users hit harder than cloud users.

insiderllm.com/guides/claud...

OpenClaw Critical Sandbox Escape: Update to 2026.3.28 Now Ant AI Security Lab found 33 vulnerabilities in OpenClaw including critical privilege escalation and filesystem sandbox escape. If you're self-hosting, update immediately.

OpenClaw critical sandbox escape — Ant AI Security Lab found 33 vulnerabilities including privilege escalation (CVSS 9.4) and filesystem sandbox escape. Update to 2026.3.28 now.

insiderllm.com/guides/openc...

Gemma 4 Just Dropped: What Local AI Builders Need to Know Google's Gemma 4 is here -- dense and MoE variants, Apache 2.0, multimodal with vision and audio. VRAM requirements, benchmarks, and how it compares to Qwen 3.5.

Google Gemma 4 just dropped. Apache 2.0 license, 1B to 31B, MoE variant at 26B-A4B. Here's what fits your GPU and how it compares to Qwen 3.5.

insiderllm.com/guides/gemma...

Your Notion data doesn't need to leave your machine. 4 real ways to connect it to local AI — and which one actually works today.

#RAG #Ollama #AIPrivacy

Mistral's Voxtral TTS beats ElevenLabs Flash v2.5 in blind tests. 4B parameters, 70ms latency, voice cloning from 3 seconds, 9 languages. Open weights on HuggingFace. Here's how to run it locally.

#LocalAI #AppleSilicon

Claude Code's Source Just Leaked: What 500K Lines of TypeScript Reveal About AI Coding Agents Claude Code's full source was exposed via npm source maps. Here's what the leaked architecture reveals about multi-agent orchestration, and what it means for local AI agent builders.

Claude Code's source just leaked via npm source maps. 500K lines of TypeScript. Multi-agent swarms, 44 feature flags, anti-distillation defenses, and a frustration-detecting regex. Here's what it reveals about how AI coding agents actually work.

insiderllm.com/guides/claud...

Mistral's Voxtral TTS beats ElevenLabs Flash v2.5 in blind tests. 4B parameters, 70ms latency, voice cloning from 3 seconds. Open weights, runs locally. Here's the setup guide.

insiderllm.com/guides/mistr...

Google's TurboQuant compresses the KV cache 6x with zero quality loss. Same GPU, longer context, bigger models. Here's what it actually does and when you'll be able to use it in llama.cpp and Ollama.

insiderllm.com/guides/turbo...

Your small business is spending $2,000+/year on AI subscriptions you could replace with a $600 mini PC. The math is embarrassing.

#Ollama #LocalAI

Therapists are quietly using ChatGPT for session notes and hoping nobody audits their HIPAA compliance. There's a better way. Local AI, zero cloud, same time savings.

#LocalAI #AIPrivacy #Ollama

On Mac, LM Studio's MLX backend is 20-30% faster and uses half the memory of Ollama running the same model. Most generic comparisons miss this because they test on Windows. Real Mac benchmarks inside.

#Ollama #Mac #LocalAI

epsiclaw: OpenClaw Stripped to 515 Lines of Python (The Karpathy Treatment)

epsiclaw is a minimal, readable reimplementation of OpenClaw in 515 lines of Python with 6 files and one dependency. Inspired by Karpathy's approach to autoresearch. Here's what it does...

#OpenClaw #LocalAI

Windows Defender is flagging LM Studio 0.4.7 as a trojan. Here's what's actually happening, how to check your install, and what the litellm supply chain attack means for local AI security.

#LocalAI

Intel's $949 GPU Has 32GB VRAM and 608 GB/s Bandwidth: What It Means for Local AI

Intel is launching a 32GB VRAM GPU for $949. Here's how it compares to the RTX 3090, RTX 4090, and used GPU market for running local LLMs and Stable Diffusion.

#GPU #AIHardware #LocalAI

Intel's $949 GPU Has 32GB VRAM and 608 GB/s Bandwidth: What It Means for Local AI Intel is launching a 32GB VRAM GPU for $949. Here's how it compares to the RTX 3090, RTX 4090, and used GPU market for running local LLMs and Stable Diffusion.

Intel just launched a $949 GPU with 32GB VRAM — more memory than an RTX 4090 at half the price. Here's what it means for running local LLMs.
insiderllm.com/guides/intel...

A 397-billion-parameter model running on a laptop with 48GB RAM at 4.4 tok/s. Flash-MoE streams expert weights from your SSD and only keeps 5.5GB in memory. Here's what's real and what's hype.

#AppleSilicon #LocalAI

LM Studio uses llama.cpp under the hood. So why is it 30-50% slower? Bundled runtime versions, default settings, and a few things you can fix.

#LocalAI

Your local LLM is slow. But slow HOW? The pause before text starts and the speed once it's flowing are two completely different problems with two completely different fixes.

#Ollama #LocalAI

Karpathy's autoresearch runs 100 ML experiments overnight on a single GPU. Shopify's CEO used it to get a 0.8B model that beat his 1.6B. Here's how to set it up on consumer hardware.

#GPU #LocalAI

InsiderLLM Practical guides for running AI locally

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