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Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis
(www.theverge.com)
this post was submitted on 22 Feb 2024
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Technology
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Yes, this is exactly correct. And it's not actually too slow - the specialized models can be run quite quickly, and there's various speedups like Groq.
The issue is just more cost of multiple passes, so companies are trying to have it be "all-in-one" even though cognitive science in humans isn't an all-in-one process either.
For example, AI alignment would be much better if it took inspiration from the prefrontal cortex inhibiting intrusive thoughts rather than trying to prevent the generation of the equivalent of intrusive thoughts in the first place.
Exactly, that's where the too slow part comes in. To get more robust behavior it needs multiple layers of meta analysis, but that means it would take way more text generation under the hood than what's needed for one shot output.
Yes, but in terms of speed you don't need the same parameters and quantization for the secondary layers.
If you haven't seen it, see how fast a very capable model can actually be: https://groq.com/
Yeah I've seen that. I think things will get much faster very quickly, I'm just commenting on the first Gen tech we're seeing right now.