> The matter is really very nuanced and trivialising it that way is unhelpful.
Harping about copyrights in the Age of Diffusion Models is unhelpful (for artists) like protesting against a tsunami. It's time to move up the ladder.
ML engineers have a similar predicament - GPT-3 like models can solve at first try, without specialised training, tasks that took a whole team a few years of work. Who dares still use LSTMs now like it's 2017? Moving up the ladder, learning to prompt and fine-tune ready made models is the only solution for ML eng.
The reckoning is coming for programmers and for writers as well. Even scientific papers can be generated by LLMs now - see the Galactica scandal where some detractors said it will empower people to write fake papers. It also has the best ability to generate appropriate citations.
The conclusion is that we need to give up some of the human-only tasks and hop on the new train.
Harping about copyrights in the Age of Diffusion Models is unhelpful (for artists) like protesting against a tsunami. It's time to move up the ladder.
ML engineers have a similar predicament - GPT-3 like models can solve at first try, without specialised training, tasks that took a whole team a few years of work. Who dares still use LSTMs now like it's 2017? Moving up the ladder, learning to prompt and fine-tune ready made models is the only solution for ML eng.
The reckoning is coming for programmers and for writers as well. Even scientific papers can be generated by LLMs now - see the Galactica scandal where some detractors said it will empower people to write fake papers. It also has the best ability to generate appropriate citations.
The conclusion is that we need to give up some of the human-only tasks and hop on the new train.