Hedepig
Joined 6 years ago
Joined 6 years ago
HAHA!
Our servers are still down, though
But, it can learn, albeit in a limited way, using the context. Though to my knowledge that doesn't scale well.
My observation is that the models are better at evaluating than they are generating, this is the technique used in the o1 models. They will use unaligned hidden tokens as "thinking" steps that will include evaluation of previous attempts.
I thought that was a good approach to vetting bad ideas.
why is that point fundamental?
But I think this is ego getting in the way, and our reluctance to change our minds.
We like to point to artificial intelligence and explain how it works differently and then say therefore it's not "true reasoning". I'm not sure that's a good conclusion. We should look at the output and decide. As flawed as it is, I think it's rather impressive
Edit: that came out way more condescending than I intentended
The danger is two fold
1. People don't eat fatty foods which have solid evidence for their benefits (e.g. Virgin olive oil)
2. People substitute the lack of fats with sugar, which I believe (not an expert) has a lot literature linking it with obesity
(I agree with you).