> Video editing: Decode, effects and export hand frames from one stage to the next, often across different cores. Those handoffs stay inside the cache instead of routing through the interconnect.
Yeah... none of that needs 5GHz cores. Video encode and decode are hardware units nowadays, so the core will not matter much.
> Agentic AI: An agent doesn’t do one task; it manages a chain of them, and the steps hand off between cores. Every core works from the same place, so the dataset stays resident as tasks hand off, and agents migrate between cores.
No serious amount of a modern ML model will fit into the CPU cache. So... also nonsense...
Unless you have a time critical workload like video calls or live streaming, most video editing workflows still encode videos using CPU encoding because it can use slow but more flexible algorithms or multiple passes which ultimately results in a smaller file size or higher quality at the same target size.