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Even body odor, the seemingly insignificant background of video calls, or the information collected by smart toilets could become training material. Users and their activities will be data sets to feed AI. And very quickly, AI will be fed by AI-created content, and we will enter an infinite loop of content that will greatly impact the chance of discoverability. AI systems interact with ALL data. Everything becomes information, and we will no longer find anything . A highly probable worst-case scenario, warns the futurologist. Why is she so pessimistic . On the one hand, because a company like OpenAI, which in 2020 declared its text AI GPT-2 “too dangerous to release” due to security concerns, has since launched one AI after another.



And on the other hand, because developing new AI models requires algeria phone number library so much computing power that it can actually only be provided by the clouds of AWS, Microsoft or Google… Skills to avoid a new digital divide It’s not so much that AI will take our jobs, but that everyone – regardless of generation – who isn’t empowered to use new AI tools could soon be left behind entirely. “ We’re creating a new and dangerous digital divide ,” warns Amy Webb. But in the face of this revolution, many institutions prefer to turn a blind eye, as if the problem could disappear by not thinking about it.



The NYC Department of Education has banned generative AI tools (like Sciences Po), the ICML bans generative AI researchers. For Amy Webb, it is not about replacing teachers with AI (and no longer about investing millions in startups), but rather about considerably improving the means of education . Because generative AIs, provided they are mastered, are also formidable efficiency tools. An opportunity illustrated with two examples: For programmers: For designers: A reduction that is of course a bit caricatured, but the possibility of using AIs like ChatGPT to speed up tasks is obvious. Amy Webb demonstrated live, in 10.