Local Ai
8 articles about local ai.
llama.cpp Releases in April 2026: Tensor Parallelism, 1-Bit Quantization, and More
Every major llama.cpp release in April 2026, from b8607 to b8779. Covers tensor parallelism, Q1_0 quantization, Gemma 4 audio support, and AMD MI350X.
DSM and Provable Memory for AI Agents - Why Relevance Beats Proof
Why provable memory systems like DSM are less useful than locally relevant AI profiles - agents need contextual memory, not cryptographically verified memories.
What to Do with Your Idle Custom PC - Convert It to an AI Agent Server
Repurpose your gaming PC as an AI agent homelab with Proxmox. Run local models, host always-on agents, and put that idle GPU to work.
First Speculative Decoding Across GPU and Neural Engine on Apple Silicon
Running two models on the same Apple Silicon chip - a 1B draft model on the Neural Engine and a larger model on GPU for faster local inference.
Tiny AI Models for Game NPCs - What Works Under 1B Parameters
Using small language models (500M-1.1B parameters) for game NPC dialogue in survival games. Benchmark data, what tiny models handle well, where they break, and why this matters for desktop agents.
385ms Tool Selection Running Fully Local - No Pixel Parsing Needed
Local agents using macOS accessibility APIs skip the screenshot-parse-click cycle. Structured app data means instant element targeting and sub-second tool
Local Voice Synthesis for Desktop Agents - Why Latency Matters More Than Quality
System TTS is robotic. Cloud TTS has 2+ second latency. For conversational AI agents on Mac, local synthesis on Apple Silicon hits the sweet spot - under 2
Self-Hosting an AI Agent on macOS - What You Need to Know
Self-hosted agents run on your Mac with no cloud dependency. Native Swift, local processing, your data stays on your machine. The trade-off is you manage
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