Whenever I see the new releases around video generation (and image) generation models, I get goosebumps, because it just feels so fun to work with them. But then I remember that I spend upwards of $10k on inference generating well over 50k images for storyboards, training models; and probably creating almost an hour of video (I assume). Yeah, I get that things can be economic if you don't use the latest models (ran some case studies on this), but the latest models are the most fun to work with. It doesn't scale as well as "vibe coding" stuff together on the weekend. And when things work really well its almost as if you're seeing an zoopraxiscope come to life for the first time; and you just want to keep going.
I got a few offers to work with some startups in this space, but it also seems that many startups work on stuff that just doesn't seem to be very worthwhile (like creating masses of spam for YT or TikTok shorts), or even straight out morally/ethically wrong (cloning/deepfakes, etc). But seeing advances in this space; and coming from a filmmakers background, I might just end up being naturally drawn to this space on an engineering level and figuring something out along the way. As you can see I worked on a lot of stuff just for the fun of it, and documenting the process: https://edwin.genego.io/blog (but I stopped at the beginning of the year .... might.. just pick it up again.
I got a few offers to work with some startups in this space, but it also seems that many startups work on stuff that just doesn't seem to be very worthwhile (like creating masses of spam for YT or TikTok shorts), or even straight out morally/ethically wrong (cloning/deepfakes, etc). But seeing advances in this space; and coming from a filmmakers background, I might just end up being naturally drawn to this space on an engineering level and figuring something out along the way. As you can see I worked on a lot of stuff just for the fun of it, and documenting the process: https://edwin.genego.io/blog (but I stopped at the beginning of the year .... might.. just pick it up again.