The most important skill for a researcher is not technical ability. It's taste. The ability to identify interesting and tractable problems, and recognize important ideas when they show up.
This can't be taught directly. It's cultivated through curiosity and broad reading.
Many AI researchers are taking the term “world model” too literally. In order to make a system to have good world model, one doesn’t need to model the world explicitely. Instead, representation of the causal structure of the world would be sufficient.
Quantum ethics is fun but a bit tricky to explain (work in progress but the general idea is in place):
So it's the most minimal quantum ethical model based on Wolfram physics model, it's intentionally simplified to be fast to compute and understand:
The goal is to instantly…
trillions of dollars spent on AI and the only interface is still a chatbot. still no branching canvas, no mindmap, no dimensionality, no forking, no inversion, no merging. no custom functions. no style and no creativity
The trippy one: Are you a multiverse yourself?) And do we live in 2 multiverses - one inside of another - not just one? ;-)
Let me explain:
Have you ever had this feeling:
You know there is a spoon 🥄 on the table behind you, so you reach out there without looking…
But alas…
If you can imagine all the universes in your head, you’re max-intelligent, nothing can be smarter than you.
That is AXI - Artificial maX-Intelligence.
And it is so perfect it is a place, not an agent.
Agent is by definition limited - still hasn’t reached the ends of all…
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