What change could unlock substantially more useful intelligence from existing compute?
01 / MOTIVATING OBSERVATION
The motivating analogy is the way wavelength multiplexing expanded the usefulness of installed optical fiber. It prompts a question about AI: where could better organization unlock capacity that is already present?
02 / STARTING CONTEXT
The investigation begins with published work on attention and conditional computation, then asks how routing, memory, reuse, and communication affect a complete system. The DWDM comparison is a prompt for inquiry, not an established equivalence.
03 / WORKING HYPOTHESIS
For a defined workload, reducing unnecessary computation or data movement may improve useful output per unit of hardware. Gains need to hold when latency, quality, and total system costs are included.
04 / PROPOSED INVESTIGATION
05 / WHAT WOULD CHALLENGE THE IDEA?
An improvement that shifts costs elsewhere, reduces quality, or fails outside a narrow benchmark does not establish a general efficiency gain.
STARTING LITERATURE
External work by other researchers provides context for this direction.
DOCUMENTING THE WORK
Papers, simulations, and video explanations will be linked as this investigation develops.
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