I’m curious about auto-regressive token prediction vs planning. The article just very briefly mentions “planning” and then never explains what it is. As someone who’s not in this area, what’s the definition/mechanism of “planning” here?
It’s extremely hard to separate out the actual technical terms from the hyperventilating booster lingo in this space. Unfortunately a lot of it is because there’s overlap. “Hallucination” is a well-defined technical term now, but it is also a booster term because it implies a consciousness that doesn’t exist.
When a major cultural event occurs, symbols and words can be forced into new meanings in that society after having gone through the significant or traumatic event.
The swastika, historically a symbol symbolizing representing well being and prosperity, now cannot be seen without associating it with hatred fascism.
I think it’s relevant for a western country to consider the concept that “Q” can be interpreted in different ways than it was before but a significant number of people, and a large company should have something like that on their radar, especially for a marketing/branding perspective.
Well comparing Q to the swastika maybe reasonable on the basis on both of their background ideas being deranged to a similar degree, but the Q movement’s historical insignificance is just laughable in comparison.
Blacklisting the letter Q because of a handful of dipshits that most of the world doesn’t even know about is preposterous.
It’s probably based on Q learning, which has been around for 30+ years, and I’m guessing the star is a nod to A* because it’s an optimization of some kind.
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