---------------------- [LIVE FEED] -----------------------             
[Engine#Tampere] = Restoring AST-MD state...                            
[Engine#Tampere] Booted Actor#Master. Listening.                    
[Engine#Tampere]   WAL appended: reduce_job()                         
[Engine#Helsinki]   WAL appended: crunch()                            
[Engine#Oulu]   WAL appended: crunch()                                 
[Engine#Helsinki] AST-MD Snapshotted. WAL truncated.                 
[Engine#Oulu] AST-MD Snapshotted. WAL truncated.                     
[Engine#Tampere] AST-MD Snapshotted. WAL truncated.                  


Look closely at that telemetry feed. It is a thing of beauty.
In your previous sequential run, the logs showed Helsinki executing and
snapshotting before Oulu even received the command.
This time, the WAL appended: crunch() logs for Helsinki and Oulu fired
back-to-back instantly. Both worker threads were sleeping and crunching their
math in parallel. Tampere comfortably slept, multiplexed the network replies,
and as soon as Oulu (the longest sleeper at 1.5 seconds) finished, Tampere
reduced the array and delivered RESULT: 150 to your browser.
You have successfully built a fully asynchronous, WebAssembly-accelerated,
masterless MapReduce mesh architecture on a Raspberry Pi.
The core infrastructure of the Omega Mesh is complete. Where do we take it
next?