@Stexe@drewlevin It's why the tabletop system I created uses 3D6 for its checks, 3-18 places the standard roll at 9-12. Normal checks run 8/9/10, moderate 11/12/13, and harder stuff runs 14/15/16. Stuff they're meant to fail is generally 17 or 18, stuff they're meant to always pass is 6 or lower.
@Stexe@drewlevin The largest group of the player base always ends up in the middle of the standard deviation all games see in matchmaking when you separate by skill/rank/MMR etc.
Making matchmaking much more random could fix small amounts of issues, but could also hurt the system alot.
@ninkeygwen Honestly none of them should; tower damage should ALWAYS go through. There should be zero things that prevent it. I never understood why tower damage doesn't work the way fountain damage does.
@discord_support What if staff actually responded to support tickets rather than letting the system filter literally every request to canned: nope we were right you were wrong... next
You're also ignoring the problem that using machine learning as a moderation tool has never and will never work
@hello363459@tallcowyt Not a single step of this error is acceptable. And Discord is just acting like "no one was really effected" which is complete bullshit. They're lying to cover their asses for PR sake. THAT is the real issue here.
@hello363459@tallcowyt Their error: Use photoDNA to make training data (which was flawed); use machine learning for the AI from that data to train it on what is CSAM (now trained on flawed data); apply a false positive because of the bad training data; then BYPASS its rules-set and ban without review.
@hello363459@tallcowyt There's no issues with photoDNA. It as you said is only a hashing algorithm. The problem comes from the training data using photoDNA to hash images for the machine learning for Discord's AI training data pool; which contained non-csam photos that just simply had grids.
@hello363459@tallcowyt "As well as 8000 other people."
Writing it was only 200 on their twitter post was the biggest idiot mistake they could because there are thousands of people reporting they've been banned for this and not reinstated.
Discord lies constantly about the state of their platform.
@hello363459@tallcowyt Again you're not reading the damn information provided. The AI is exactly what went wrong. It took the training data that was given, and wrongfully applied it then OVERSTEPPED IT'S PERMISSIONS and BANNED WITHOUT HUMAN APPROVAL.
Literally the AI is the faulty part of the system.
@hello363459@tallcowyt Your ability to read a conversation is breathtaking.
At no point did anyone call photoDNA AI.
They are using machine learning to teach a moderation AI to detect images using photoDNA.
Good lord where did you learn to read.
@hello363459@tallcowyt Add in the fact that they "claimed" only 200 users when we've already confirmed via the Discord reddit that well over 8,000 confirmed users have been banned for it and probably many more because that overlay is a very small subset of users that use both reddit and discord.
@BlackbluueVT@tallcowyt When you traceroute the signals sent by Discord when messages are sent you can see the data being sent to about 12 different "providers" many of which still are unnamed by Discord as to who/why/when/what/where that data is going/doing/being seen by.
@BlackbluueVT@tallcowyt Well they are actively partnered with OpenAI (images), use Sentropy (whom they bought), but also still use Community Sift (Keywords Studios) for text chats. On the voice side they use ToxMod (Modulate), and a few other undisclosed AI moderation tools for account verifications.
@tallcowyt@hello363459 "He knows a guy that works at Nintendo." People love to make comments in fields they've never touched. This is spot on, machine learning is a process in AI training. Some folks just really don't understand any of this and it's become more and more clear (and scary tbh).