24 lines
1.4 KiB
ReStructuredText
24 lines
1.4 KiB
ReStructuredText
|
Considering the sheer scale of deployment, with millions of people being
|
||
|
puppeteered and tens of thousands of people being tormented, I do not think
|
||
|
that a reasonably sized team of individual humans that is single-handedly capable
|
||
|
of puppeteering all of that havoc in real time.
|
||
|
|
||
|
And considering the humanly impossible latency for thousands of reactions I
|
||
|
received from them at this point (with some of them being no more than a 100
|
||
|
milliseconds after the thought that triggered them), it is very clear that this
|
||
|
much scale and accuracy is only possible via automation.
|
||
|
|
||
|
We live in an age where automation is pretty damn easy. There are countless ways
|
||
|
to do it, but based on my personal experience as a targeted individual, my
|
||
|
conjecture is that their automation likely employs a combination of technologies
|
||
|
in an architecture designed for incredibly low-latency throughput.
|
||
|
|
||
|
My experience suggests that they make extensive of the so-called genetic
|
||
|
behavioral neural networks (or something equivalent, or possibly even more
|
||
|
advanced). Basically this it tries out all possible outputs in all possible
|
||
|
combinations, in all possible timing patterns. For the uninitiated, `here's
|
||
|
a (completely unrelated) example video randomy picked from YouTube
|
||
|
<https://www.youtube.com/watch?v=DcYLT37ImBY>`_, which demos one such neural
|
||
|
network being trained to play a video game, while explaining key concepts
|
||
|
and nuances in an easy-to-understand manner.
|