Thread · HN Continuity

Yep. It's a real shame that the labs are incentivized not to go in this direction. They all want to try and suck us into the cloud and take away full control and local processing, but there's far more opportunity by building small AI systems and tools into the harness itself to make the models more intelligent.

They naturally don't like this direction, because it draws the intelligence away from their systems, and onto the local machine, where idea moats cannot be protected and hidden, and costs can be dramatically cut. Imagine though, how powerful our harnesses could be if the best researchers were thinking about how to utilize the power of the gaming GPUs that most PC users have (or can get), to supplement the frontier model processing. Instead of trying to have the frontier model do everything, the frontier model can serve as the orchestrator over all of the smaller dedicated harness models. Right now my rtx4090 sits there unused for most of the day while I'm paying for inference in the cloud... It's such a waste of parallel intelligence bandwidth.

I'm not just talking about LLMs either, most people seem unaware that there are a plethora of dedicated AI models for all sorts of conceivable pipeline usecases, from all sorts of classification tasks all the way down to things like code duplication detection. Right now the LLMs completely suck at cleaning up code and architecture, and a big part of that is because the frontier LLM cannot fit your entire codebase + all of its long-chain reasoning into the context window. But using small local models and tools bypasses this problem because small fast models can iterate over an entire codebase quickly. A harness that creates a big model bundle + routing system + DAG-based memory/execution management over all of these has the potential to be incredibly powerful.

Even better, building a framework around this concept and having the frontier model dynamically and adaptively generate the ideal execution system for any given task/domain. We're working on coding today? Okay, here's a recipe we can use: ..., and it generates a local model pipeline execution system that it feeds all of your prompts through in real time by using pre-defined or shared recipe building blocks, etc... Lots of interesting possibilities.