I think this is a big component, but also context. A large factor in any model being able to handle complexity comes down to context length.

I think multiple SLMs driven by an orchestration frameworks (harness or otherwise) will ultimately displace LLMs. Right now we're in the era of diminishing returns with respect to LLM gains. Moving the needle percentages doesn't excite as many people anymore and with "reasoning" capabilities there's no reason why small distributed models can't be run more efficiently, especially if/when we start to see gains in modularized context management solutions.

sure, but high-quality harnesses require less gpu compute/VRAM, and plausibly can be used locally by most users.

Try qwen 3.6 models with hermes and see for yourself. 27b is excellent and 35b is very good for basic agentic tasks.

biggest thing i wish was present in more discussions about models is people providing more specifics on their setups vs. vague descriptions of harnesses