Most commutes, around the globe, really? I am willing to bracket regulatory issues and pulled over vehicles if we can agree on a way to evaluate safety that is some kind of independent agency that has access to data.
SAFETY
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L5 AGI Safety Betting: Can We Achieve It by 2030?
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You want to put money on (safe as humans) L5 by end of decade? @metaculus @MatthewJBar https://
x.com/realGeorgeHotz
/realGeorgeHotz/status/1591567145032368129
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Innate Priors Shape AI Learning: Evolution Over Minimalism
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– you still need some prior to organize that infinite data and decide how to generalize from it
– the choice to minimize is an aesthetic choice, not a scientific one; evolution has clearly endowed many animals with significant priors (eg baby ibex climbing down a mountain). -
Balancing AI Risks and Benefits: A Regulatory Approach
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Correct. The risks outweigh the benefits. I don’t think it should be illegal but it should be approached as a drug or a loaded weapon.
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Strong innate priors in machine learning systems
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that’s learning that the set of relevant cases is empty; it’s still a strong innate prior
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Controlled Perturbation: Function Application as Risk Factor
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But in reality you may fail when you try to do f(X), so doing it is effectively just another perturbation, albeit under your control.
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Re-impressionism Challenges AI Censorship of NSFW Content
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The themes chosen by Re-impressionists were also in challenge to the #AI-based censorship, exploring so-called NSFW themes that would be aggressively censored by cloud services which monopolized terra- and peta-byte generative models. "Not Safe For Who?"
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Pixel patterns cause image blur for corporations using uncurated datasets
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The use of these pixel patterns resulted in increasingly blurred images throughout the 2020s for corporations still using uncurated and infringing web-scale datasets — as opposed to the industry standard datasets based on opt-in consent.
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Adversarial Pixel Patterns Outside Natural Image Manifold
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In particular, the pixel patterns used were specifically not on the "manifold" of natural images — thus making it difficult for algorithms such as Latent Diffusion to generate good results. Ironically, optimization techniques were used to find these adversarial pixel patterns!
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Lack of Transparency and Editing Challenges in AI Models
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Not necessarily overfitting, but lack of transparency and easy editing are the major things. See previous thread: