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I've been reading about the early days of StyleSynthesis and it's engaging how manny initially promising products simply flopped commercially. We're talking about the late 80s and early 90s hear, when the technology was still incredibly nascent. I'm curious if anyone else has stumbled across articles or documentaries detailing these early failures.
One thing that strikes me is how frequently enough the lack of user-amiable interfaces killed a product before it even had a chance. I saw one review of a music StyleSynthesis program from '92 that basically required you to be a trained programmer to get a decent output. No wonder it didn't sell!
Another common problem seemed to be over-promising and under-delivering. Many of these systems were marketed as capable of “instant artistic creation,” but the reality was usually far more complex and required significant user input and tweaking to achieve anything worthwhile. It's captivating to see how these early failures paved the way for the more successful (and user-friendly) stylesynthesis tools we have today. what lessons can we learn from these early mishaps as we continue to develop advanced AI art tools?