Llama.cpp is a topic tracked in our intelligence system with 5 linked articles.
Odysseus is a self-hosted AI workspace with public repo activity, deployment guides, and security considerations, enabling local models, agents, and web research via Docker or manual installs.
DIY install of a Tesla V100 SXM2 datacenter GPU into a gaming PC with an SXM2-to-PCIe adapter yields 32GB VRAM total and ~32 tokens/sec local LLM inference for ~£200, plus caveats on fan noise and software compatibility.
Liquid AI unveils LFM2.5-8B-A1B, an 8B parameter MoE edge model with 128K context, 38T pretraining, expanded tokenizer, and strong on-device benchmarking and tool-calling capabilities.
A long, first-person narrative linking open-source notoriety, technical claims, and a direct fundraising appeal amid regulatory and personal-financial stress.
A practical guide to running local LLMs on a 24GB MacBook Pro using LM Studio, Pi, and OpenCode, with concrete models, context sizes, and config tweaks illustrating hardware-bound tradeoffs and workflow implications for developers.
A Metal-only local inference engine (ds4.c) for DeepSeek V4 Flash with 1M-token context, 2-bit quantization, and disk-backed KV cache, offering OpenAI/Anthropic-compatible local APIs but with alpha-quality code and very high RAM requirements on macOS.
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