[ST33LDI9ITAL]

It'll get to point to where good enough for average user models will be able to be ran on common hardware. Agentic platforms are already moving towards smaller ,more efficient, and faster targeted models per agent/task/tool. Takes a bit more to setup but works great.

All your general knowledge frontier models are just going to be baked into every OS and browser. Coding is almost to point of being viable for self host.. I think the only real use for high end paid models is gonna be kinda like things now... high end scientific workloads.. professional rendering.. especially 3d and video, financials, etc.

A $4,000 mac can take you pretty far right now.. and we have the upcoming dgx hitting mainstream consumers. Give it another couple years. It's changing fast.

[verdverm]

As we look out further, local Ai will become even better. I run a DGX Spark with qwen36moe and it is between gemini-2.5 & gemini-3 capabilities. It uses around the same electricity as an incandescent light bulb, no water, token freedom.