…This can also pose a major issue for those who use their PC for local AI model hosting and other memory-heavy workloads. Local LLMs demand massive pools of high-speed memory…
…My first ever local model was actually gpt-oss 20B, and I managed to get it running on 8GB because LM Studio has a GPU offload setting that splits the model between…
…at ChatGPT Benchmarks of frontier models don't tell the whole story The interface and community matter more in the day-to-day If every workflow I used agentic AI for was…
…However, hope isn't lost for those models, as the interesting work in local AI has moved to a different kind of machine entirely: unified-memory systems running mixture of experts (MoE…
…for coding) Local AI that actually fits into my day Qwen 3.5 4B My unplanned third pick Phi-3.5 mini was supposed to be the third model. I wanted to…
…A single newsletter can balloon into thousands of tokens of metadata before your model even reaches the actual content. For a local LLM you might be running in a finite context window…
…Privacy aside, I also just like running things locally when I can. Setting up Claude Code with a local model isn't hard, but it's not exactly frictionless either. You need…
…But when you want to get into the development of AI or run larger models, the price of entry skyrockets. Enter the AMD Ryzen AI Halo, which is a relatively low-cost…
…I ran every model once on the same task with the same prompt, though Qwen3-Coder-Next had Context7 available for documentation lookups to better reflect how people actually use local coding…
…local intelligence. Self-hosted models reward good prompting more than you think One thing I learned from this entire experience is that self-hosted models are far less forgiving than cloud AI…