Remove Comparison Remove Learning Theory Remove Method
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Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot

They are used for different applications, but nonetheless they suggest that the development in infrastructure (access to GPUs and TPUs for computing) and the development in deep learning theory has led to very large models. To illustrate the energy needed in deep learning, let’s make a comparison.

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

Were interested in more research on this, and other stress tests of todays state-of-the-art alignment methods. We want to fund research that identifies the conditions under which these failure modes occur, and makes progress toward robust methods of mitigating or avoiding them.

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AXRP Episode 40 - Jason Gross on Compact Proofs and Interpretability

The AI Alignment Forum

Daniel Filan (00:28:50): If people remember my singular learning theory episodes , theyll get mad at you for saying that quadratics are all there is, but its a decent approximation. (00:28:56): But maybe zooming out, the relevant comparison point here I think is not the number of parameters in the model.

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