# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 5
# self = https://watcher.sour.is/conv/mzw5ema
OK lovely, I have a little demo of my nascent agent modeling framework thinger that can run 100,000 agents doing non-trivial (but faked for now) computations at about 1/3 of my screen refresh rate, meaning near real-time. I haven't tried optimizing it yet, just tinkering so far. That's pretty promising.
for instance, I'm just firing all the agents' workloads asynchronously at the CPU and hoping for the best, where it'd probably be more efficient to batch up the work. I'm using scala and haven't done any jvm heap of GC tuning yet, so that's another way to improve performance.
What's this you're making? 🤔
What's this you're making? 🤔
@prologic a little experimental framework for helping to build agent-based models. I'm unhappy with the existing frameworks I know about so I'm trying a different tack and so far I'm pretty happy with the results.