So what’s the job interview like at the Tyrell Corporation? Do they make you take the Vought Kampff test?
AGI
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Why LLMs Pass Bar Exams But Robots Cannot Clear Dinner Tables
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Roboticists and computer vision people have all made this point, including Moravec, Rodney Brooks, Jitendra Malik: intelligence requires sensory input. Why do we have LLMs that can pass the bar exam, but no robot that can clear up the dinner table and fill up the dishwasher, a
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General World Models: Understanding World Behavior and Dynamics
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Models that understand the world. And the behaviors of its inhabitants.
— Runway (@runwayml) 18 décembre 2023
Learn more about General World Models: https://t.co/SeXTLc1g4n pic.twitter.com/XlmTXQMasVModels that understand the world. And the behaviors of its inhabitants. Learn more about General World Models: http://
research.runwayml.com/introducing-ge
neral-world-models
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Opposing AI R&D Regulation: Access and Safety Debate
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Fight people who want to regulate AI R&D by claiming that it's too dangerous for everyone but them to have access to it.
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Real World Challenges: Why AI Differs from Code
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Language/code are easy because they are discrete domains.
Code is particularly easy because the underlying "world" is fully observable and deterministic.
The real world is continuous, high-dimensional, partially observable, and non-deterministic: a perfect storm.
The ability of -
Phase Change Requires Human Innovation and Control
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A phase change won't just "happen" as if it were a natural phenomenon.
A phase change won't happen unless it's enabled by the invention of a new method or technique.
*We* do this, and *we* are in control of it. -
AI reasoning progress visible in singularity subreddit discussions
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Lol. Just check /r/singularity to see how its reasoning made a huge leap forward.
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AI indistinguishable from humans: the end of differentiation
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Yeah, so.. it’s over? One cannot differentiate between human and ai, can he?
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Something Will Happen: Probability Equals One
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This might be an unpopular opinion, but p(something happens) = 1
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Computational Feasibility of Brain Simulation with Crow and Dog Neural Networks
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I used crows and dogs because they both have about 2 billion neurons (a few trillion synapses), which will soon be within reach, computationally.