Jerry Murdock

have an orchestration layer where they can have multiple different LLMs, you know, that they can orchestrate on and triage workflows.

have an orchestration layer where they can have multiple different LLMs, you know, that they can orchestrate on and triage workflows.

They'll triage workflows and say, hey, for this part of the workflow, let's use Claude.

They'll triage workflows and say, hey, for this part of the workflow, let's use Claude.

They're expensive tokens, but they're going to get the job done better.

They're expensive tokens, but they're going to get the job done better.

And then for this other part of the work,

And then for this other part of the work,

let's use an open source model like DeepSea, Lama3, whatever, you know, and they're going to start from a big picture.

let's use an open source model like DeepSea, Lama3, whatever, you know, and they're going to start from a big picture.

Maybe this is going to happen as soon as orchestration gets solid enough.

Maybe this is going to happen as soon as orchestration gets solid enough.

They're going to determine where the workloads go for reasoning models, which is going to be super powerful.

They're going to determine where the workloads go for reasoning models, which is going to be super powerful.

And my guess is this will lead to the rise of open source models more proficiently, and that it's going to lead to the rise of ASICs chips, right?

And my guess is this will lead to the rise of open source models more proficiently, and that it's going to lead to the rise of ASICs chips, right?

Because what's going to happen with ASICs is you're going to put the model on the chip.

Because what's going to happen with ASICs is you're going to put the model on the chip.

You know, ASICs is going to be a lot cheaper, a lot more tunable for a specific workload than an expensive chip from Jensen.

You know, ASICs is going to be a lot cheaper, a lot more tunable for a specific workload than an expensive chip from Jensen.