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See the pictures in this xeet:
https://x.com/iannuttall/status/1904922685655707837
It is not that ChatGPT does not make mistakes, the mug with two handles or the dog with legarms are hilarious, but sooner or later image creation will approach dangerously the area of language translation: For really important stuff (legal contracts, professional movie/book translations) you still want a professional translater, but almost always deepl/AI-translate is good enough. The image slop is a pretty good and fun expression of the users creativitiy. Even if "real" graphic designers will use it just as a tool their productivity will skyrocket.
I wonder if and when Music is disrupted. "Write a Bob Dylan Song over current_year and cover it in the style of Jimmy Hendrix" would be a killer application. As a pillar of popular culture and fearing the backlash I wonder if AI companies will avoid music generation.
I predict that AI music will never make a significant impact in pop culture. There are millions of decent songs already written every year; the bottleneck has always been distribution. There are simply not enough hours in the day for any single person to listen to even .1 percent of what is produced, and thus they'll listen to whatever is most available that falls within their range of taste. For the bigger pop stars, it's not that their music is any better than the milions of unknowns, it's that they got promoted enough by the industry to gain critical mass. There's also the shared experience factor/marketable personalities/songs seemingly sound better once you've heard them enough times.
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What's the best free translator available nowadays?
The use case is translating old Perry Rhodan from German to English. I've been using Google translate, which has some problems.
Up to last year the consensus was that https://www.deepl.com translated much more naturally than the more literal Google translate.
https://old.reddit.com/r/languagelearning/comments/16xspex/what_makes_deepl_better_than_google_translate/?show=original
But I don't know how it compares to the newest (paid) AI models.
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Music generation is one of those things that's existed in "AI form" for years, but no one noticed or cared. Band in a Box has been around since the '90s. It will automatically generate songs in more styles than you can imagine, and output to MIDI. It does all this using traditional non-AI software algorithms, and has steadily improved since it was initially released. To this end, it blows anything AI-generated completely out of the water, as the system requirements are anything even the cheapest PC can easily handle, the customizability is direct and straightforward (if you want to say, substitute one chord for another you just swap them out rather than have the AI generate the song over again and hope it does what you told it to do and not anything else), and it manages to avoid the inherent weirdness that comes as an artifact of using neural networks to predict sounds. It's also incredibly easy to use for a first-timer who has a basic understanding of music, though it has enough advanced features to keep you busy for years.
If such a product emerged fully formed in 2022, people would be talking about how it's a disruptive game-changer and that the days of professional musicians and songwriters are clearly numbered. But since it's been around for 35 years nobody cares.There are two primary use cases for it. The first is for songwriters who want to generate some kind of scaffolding while they work out the individual parts, and want to do mock-ups of how the song will sound with a full band. The second use case, and the one that causes a lot of music teachers to recommend the product to their students, is the ability to generate backing tracks for practice. I've never heard of anyone using a BIAB-generated track as the final product, except in situations where the stakes are so low that it would be ridiculous to even bother to have friends over to record it.
If BIAB hasn't managed to disrupt the music industry in any meaningful way by now, I doubt that AI will. It might generate the kind of generic slop that Spotify uses for playlists like "Jazz for a Rainy Afternoon", but I doubt it will make music that anyone cares to actually listen to.
I don't mean to 'words words words' you but I tried a few Suno's the other day (Good Lord, all these names, the fubos, the sunos, the tubis, the groks) and what came out with my totally uneducated prompting was better than anything I hear on the radio these days. Low bar? yeah, but still
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Interesting, I didn't know that this exist:
https://youtube.com/watch?v=h27rdkwI7wc
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