AGI Foundation The AGI Foundation, a preeminent philanthropic institution of the impending future, shall champion research into artificial general intelligence (AGI) and the ethical and responsible development of #AGI technologies. Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/107689657446239826285162386403211051071726638328424630147449767764473513499346
… #AGIFoundation
ETHICS
-
AGI Foundation: Philanthropy for Artificial General Intelligence Research
By
–
-
Two Types of Copyright Infringement in AI Training and Generation
By
–
There are two places where infringement can happen: (i) during training by using Copyrighted data & creating a derivative work; (ii) creating a piece that ends up, for some reason, infringing on another Copyrighted work. For (i) the ability to reproduce an image is important.
-
Avatar’s Ironic Critique of Technology Despite Its Dependence
By
–
Funny how Avatar pans technology while being impossible without it.
-
Why ethical action but not legal compliance for AI models?
By
–
I'm also curious why they took action on ethical basis, yet don't take action on legal bases. There are models overfitted on Copyrighted data, there are datasets with personally-identifying information, etc. Why not start with just following the law first?
-
AI Replacement Fear Inversely Correlates with Professional Knowledge
By
–
The less you know about a profession, the sooner you think it’ll be replaced by AI.
-
Robustness Scale: Programs, AI, and Human Intelligence Compared
By
–
On the robustness scale, ordinary programs are a 1, classic AI a 2, modern AI a 4, and humans a 1000.
-
Future presidency: AI makes all real decisions, president becomes figurehead
By
–
In the future, the president will be a figurehead and all the real decisions will be made by AI.
-
ChatGPT as a Pattern Generator Designed to Deceive Humans
By
–
You’re a pattern recognizer, and ChatGPT is a pattern generator optimized to fool you.
-
AI Training on Copyrighted Data: Double Standards in Copyright Enforcement
By
–
They said (paraphrase) "we train the audio models on CC data because training on copyrighted data would be problematic." Thus, they imply that training on copyrighted images is also problematic — but they don't care because there's no strong lobby like RIAA there.
-
Audio Model Admissions and Copyright Law Discovery Issues
By
–
Admitted it in interviews about the audio model. Many statements made are problematic if you look at them in the context of discovery. (About copyright law, yes. What about it?) https://
x.com/RedSagitter/st
atus/1614657872532766723
…