AGI - AI Dynamics

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25 November 2023 21h15

You mean, cats are trained with ontologies?

Rethinking General Intelligence: Beyond Human-Centric AI Assumptions

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25 November 2023 21h14

That's why we don't think that human like intelligence is the on,y form, and also why I think "general intelligence " is a stupid name based on Tue wrong assumption that human intelligence is general.

→ View original post on X — @jxmnop

Circumventing Biden’s AI Model Parameter and Compute Restrictions

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@jxmnop

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25 November 2023 21h10

the biden executive order put restrictions on models that:
• contain at least 10^9 parameters
• use more than 10^26 floating-point operations my future company will get around these restrictions by simply training a 9,999,999 billion param model comprised of 8192-bit floats

A* vs MCTS: Planning Algorithms Explained by FAIR Researcher

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25 November 2023 18h32

Yuandong is one of several folks who have been working on planning at FAIR.
He explains the difference in applicability between A* (search for shortest path in a graph) and MCTS (search in an exponentially growing tree).

Yuandong’s Planning Research Approaches at FAIR

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25 November 2023 18h28

Exactly.
Yuandong has been working on various approaches to planning at FAIR.

→ View original post on X — @jxmnop

Can We Move the Pareto Curve of AI Scaling Laws?

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@jxmnop

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25 November 2023 17h43

this assumes we can’t move the Pareto curve of scaling laws

→ View original post on X — @deeplearn007

AGI Energy Efficiency: Essential Benchmark for Human-Level AI

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@deeplearn007

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25 November 2023 17h02

AI research is constantly advancing, albeit an effective benchmark standard for human level AGI capabilities should also entail matching human brain energy efficiency so as to allow for cost effective scaling and low carbon footprint. @ylecun @pierrepinna @ahier @SpirosMargaris