Leveraging User-Generated Content for Generation

[Shishirgano9]

ByteDance has thus revealed that it is currently developing a label that would allow " made by AI" to be written on video content . AI, super AI, but what are we really talking about and on what time scale. Technical skills widen the gap between developers and affiliates and a public less familiar with software specificities and languages. For example, OpenAI's ChatGPT plugins can thus begin to be tested by a first community of "insiders", who upstream, prefigure the next developments. Similarly on Discord, many channels have existed for weeks to discuss Midjourney prompts. All this draws a landscape with imprecise and shifting contours around artificial intelligence, its uses and the actors who comment on it.



Being able to have a precise vision of it remains something that belarus phone number library seems reserved for experts. We are seeing debates on social networks about the future of artificial intelligence and in particular artificial superintelligence , i.e. agents capable of understanding and surpassing human intelligence . We note that it is difficult to measure the contours of AI and to understand who is really talking about what. Apocalyptic posts invite us to think about “the great replacement” of Man by the machine, others on the contrary moderate the scope of the technology and its potential loss of control.



This is also the current opposition of the founding fathers of deep learning : Yann LeCun (Meta) , Geoffrey Hinton (ex-Google) and Yoshua Bengio (Université de Montréal) who won the Turing Award from the famous Association Computing Machine (ACM) in 2019 for their work on machine learning. Yann LeCun's post quoting Geoffrey Hinton – with whom he deeply disagrees on the future of AI – has launched a very rich debate, in all possible languages. The answers then confront epistemological questions, philosophy of science, beliefs and positivism. " We can design AI to be super-intelligent *and* submissive.