# 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 1
# self = https://watcher.sour.is/conv/wb5s3rq
output format of AI systems doing alignment research (formal proof, set of heuristics, set of algorithms…)? AI systems will align their successor systems, repeatedly. Unless this process has 100% fidelity, errors in the alignment process will compound over time, similar to numerical instability. Similar to numerical analysis, could we make a useful statement about the “condition number” of this repeated alignment process?