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I like your optimism but OP's job is to take text instructions and turn them into video, for advertisements. If Google (who already control so much of the adver
by joshuahaglund 4y ago
I like your optimism but OP's job is to take text instructions and turn them into video, for advertisements. If Google (who already control so much of the advertising space) can take text instructions and turn them into advertisements, what's left for OP to do here? Even if there's some additional editing required this seems like it will greatly reduce the hours an editor is needed. And it can probably iterate options and work faster than a human.
- simonw 4y agoMaybe OP's future involves being able to do their work 10x faster, while producing much higher quality results than people who have been given access to a generative AI model without first spending a decade+ learning what makes a good film clip. The optimistic view of all of this is that these tools will give people with skill and experience a massive productivity boost, allowing them to do the best work of their careers. There are plenty of pessimistic views too. In a few years time we'll be able to look back on this and see which viewpoints won.
- gjs278 4y ago
- pyfork 4y agoOP probably does more than it seems by interpreting what their client is asking for. Clients ask for some weird shit sometimes, and being able to parse the nonsense and get to the meat is where a lot of skill comes into play. I think Cleo Abrams on YT recently tackled this exact question. She tried to generate art using DALL-E along with a professional artist, and after letting the public vote blindly, the pro artist clearly 'made' better content, even though they were both just typing into a text prompt. Here's the link if you're interested: https://www.youtube.com/watch?v=NiJeB2NJy1A https://www.youtube.com/watch?v=NiJeB2NJy1A I could see a lot of digital artists actually getting better at their job because of this, not getting totally displaced.