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…
Why isn’t there a one giant library of EVERY (implemented) useful functions and the IDE just locally caches the needed functions? Everyone can contribute to everyone that way.
The following sentence came to me in a dream:
Data builds questions that are founding themselves to ask them to. And that question is now disassociated from the original question
Tokenization is just a special case of "chunking" - building low-level data into high-level abstractions - which is in turn fundamental to intelligence.
Our new architecture, which enables hierarchical *dynamic chunking*, is not only tokenizer-free, but simply scales better.
Tokenization is just a special case of "chunking" - building low-level data into high-level abstractions - which is in turn fundamental to intelligence.
Our new architecture, which enables hierarchical *dynamic chunking*, is not only tokenizer-free, but simply scales better. https://t.co/SsZloRQR24
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42K Followers 109 Following• Center for AI Safety Director
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11K Followers 1K FollowingI like tokens! I lead the OLMo data team at @allen_ai w/ @kylelostat. Open source is fun 🤖☕️🍕🏳️🌈 Opinions are sampled from my own stochastic parrot
325K Followers 3K FollowingNVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.