KoboldOfArtifice

@KoboldOfArtifice@ttrpg.network

• ⁨Comment⁩ on ⁨World of Warcraft: The War Within's pre-patch event has been fixed, removing 90-minute wait times and turning its weekly quests into account-wide dailies⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  I think their main problem was that it was again reliant on the same ramp up that is typical for Pre-Patch events.

  The lack of communication in that left people assuming that the current speed of acquisition was all there was, when most likely there was no worry about missing out even if you joined in the last week. People with alts also had a massive advantage.

  Could have all been solved with more communication. While you can’t make two first impressions, it still seems like a fun enough event and the rewards are neat. Not enough to play the game just for the event, but I doubt that that’s ever the intent behind these. They’re just there to set the mood a bit for the upcoming release.

• ⁨Comment⁩ on ⁨Escape from Tarkov is offering players in-game currency as a bounty for reporting cheaters⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  It’s not quite that simple. Crowdsourcing has many of the drawbacks that AI has too.

  While it can have a higher reliability in detecting nonsensical inputs or inputs that it’s simply unfit in processing, that comes at an intrinsic cost in scalability. Some tasks can’t be effectively crowdsourced for, either because of volume or urgency.

  Machine Learning systems learn to approximate decision making and thus can attempt at learning from crowdsourcing efforts. It is notable though that depending on the use case, model and training method, machine learning algorithms can potentially be better than the data it was trained on. Or much worse, it’s very fickle.

  It is definitely still the case that crowdsourcing is a really important tool and oftentimes machine learning relies on it’s efforts. And it naturally can solve tasks that we don’t have a viable automated approach for.