@davj@the1024th yh blocking agents mostly hits the polite ones that identify themselves, the rest just fall back to a logged-in browser or headless session and look like a normal user
@defileo the script is only as good as those three fixes lol, if one tool changes its export format it breaks without any error and you keep sending a report that looks right but isn't
@mattshumer_ bug reports from random people are basically untrusted input going straight to your agents. someone could just type "make the score count double" or slip in a prompt injection and it gets shipped
@BHolmesDev the strip unaligned changes step would delete real fixes the agent found along the way, i'd have it save them to a follow-up note instead of dropping them
@swyx@CompleteSkeptic@typesafeai a ralph bot on jagged tasks will burn the most tokens on the ones outside the frontier, it can't tell almost there from never so it just keeps retrying
@johnbai bro shared bots learning from everyone will pick up bad habits too, let us see what it learned each week and remove the wrong stuff one by one
@EXM7777 the mistake into a rule step sounds good but after a few weeks that rule file is gonna be huge and the agents will start ignoring half of it or contradicting it
@OfficialLoganK@GoogleAIStudio When2Call is the tool-calling one, whether the agent should call a tool or ask, and TypeSafe Jev beats it there, 82.0 vs 79.9
@nickvasilescu wait if hermes runs any model underneath, doesn't grok's voice change the second you swap the model? the personality is mostly the model itself https://t.co/F5uXUKLYp9