> I'm not even yet optimizing cost by batching things like review to slow local models over night

well, I am.

look at what the market thinks of CPU manufacturers and general computation now that agentic workflows have taken up, all went to the moon after being picked over in favor of GPUs and RAM for years

most computers have been idling, waiting for human input, for decades, and if there was a computationally intensive process it was offloaded to GPUs a long time ago, over the last decade, so CPUs and general processors have remained idle, relegated to just defined conditional statements to switch between tasks with no reasoning capability to occupy compute

now, there are reasoning capabilities to tell a CPU what to do (as a byproduct of the varied processes). Cerebras is not a CPU, it is a special purpose chip for inference, but is hosting LLMs that tell CPUs of all its clients what to do faster than a human can. Outside of Cerebras, LLMs are not doing much to optimize compute of the system they're affecting, as they're reading or compiling code when being used for coding, very few processes are intensive and the CPU is just waiting as if a human was using it because the LLM can't digest and output information fast enough. The CPU ecosystem is very mature for general and varied tasks, but is underutilized.

To the what: any kind of compositing or configurations that humans do, agents can do. AutoCAD, video editing, sequencing in music, all forms of media, all forms of configuration done digitally. right now they rely on snapshots to see and react, and this increases the 'framerate' per say, and rapid and relentless iteration they can do.