https://social.lol/@rom/112543674749743641
Oh 2 ten (@[email protected])
Here we go - copyright in the US, privacy in the EU. What is next? https://noyb.eu/en/chatgpt-provides-false-information-about-people-and-openai-cant-correct-it
Here we go - copyright in the US, privacy in the EU. What is next? https://noyb.eu/en/chatgpt-provides-false-information-about-people-and-openai-cant-correct-it
The reason the billionaires, governments, and corporations are trying to make Generative “#AI” fetch happen is because #ModelExplainability doesn’t exist.
They don’t want to foment transparency, accountability, or individual agency.
They want the opposite.
That is why #SparkleSickness ✨is everywhere.
We’re still decades away from #ModelExplainability:
The PhDs in machine learning are still decades away from #ModelExplainability when it comes to GenAI.
You’d think a lack of provenance for decision-making in regulated ecosystems would be a disincentive, but, no, they will FAFO, and FAFO hard.
“we still don’t understand why deep learning works, in any way that would let us predict which capabilities will emerge at which scale”
This part about the lack of #ModelExplainability gets glossed over on the #AIhype train.
@neurobashing @tsturm
Is the math well understood, though?
From what I understood the researchers are not completely 100% certain how they work or why they work the way they do.
We’re not necessarily within spitting distance of #ModelExplainability, are we?
I could be wrong? 🤷🏻♂️