The possibility of #AI models tainting themselves may be a bit analogous to a certain 20th-century dilemma. After the first atomic bombs were detonated at World War II’s end, decades of nuclear testing spiced Earth’s atmosphere with a dash of radioactive fallout. When that air entered newly-made steel, it brought elevated radiation with it. For particularly radiation-sensitive steel applications, such as Geiger counter consoles, that fallout poses an obvious problem: it won’t do for a Geiger counter to flag itself. Thus, a rush began for a dwindling supply of low-radiation metal. Scavengers scoured old shipwrecks to extract scraps of prewar steel. Now some insiders believe a similar cycle is set to repeat in generative AI—with #training data instead of steel.#Binance #OPN