Time's story about the new RSP included reactions from a nonprofit director focused on AI risks. Chris Painter, director of METR, described the changes as both understandable and perhaps an ill omen. "I like the emphasis on transparent risk reporting and publicly verifiable safety roadmaps," he said. However, he also raised concerns that the more flexible RSP could lead to a "frog-boiling" effect. In other words, when safety becomes a gray area, a seemingly never-ending series of rationalizations could take the company down the very dark path it once condemned.
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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.