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I'm not sure, I see a common pattern with autonomous vehicle, text to image, llms: the last 10% are hard to achieve


I don’t know, for a car the last 10% has a direct relation with "people die" that is obvious to everyone. With the movie made in anyone basement, the risks are far less likely to create such a vivid perception of dramatic end result.

Not that cyber-bullying and usurpation schemes escalating a whole new level being less of a concern in the aftermaths, to be clear.


Less about risk parallels and more about control parallels. The last 10% of fine grained control over a system is hard. Like every time I’ve done text to image prompting and it gives me a great starting point, but cannot get certain details i want, no matter how i ask.


The average person spends 9-11 hours per day consuming media depending on what source you look at. When people are playing games or browsing social media at the same time that they have the latest Netflix show on their TV, you can't tell me that this is really valuable time spent to deepen one's understanding of the human experience; it's a replacement for the human experience.

Most people will not notice if the soundtrack to a new TV show is made by a 5 word AI prompt of "exciting build-up suspense scene music" while they're playing pouring money into their mobile gacha game to get the "cute girl, anime, {color} {outfit}" prompt picture that is SSS rank.

You or I might not care for AI slop, but it's a lot cheaper to produce for Netflix or Zinga or Spotify or whatever, and if they go this route, they don't have to pay for writers, actors, illustrators, songwriters, or licensing for someone else's product. They'll just put their own AI content on autoplay after what you're currently watching, and hope most people don't care enough to stop it and choose something else.


If we judge from AI writing, we can extrapolate what an AI movie would be like. I cannot imagine reading an AI book. It would look and smell like a book but nothing of value or new insight would be inside. Michael Bay might be very interested.


You look back at old movies, and on a technical level they really aren’t as good as contemporary trash productions. But they knew how to weave the camera and a script into something amazing back then even if they didn’t have resolve and aftereffects to polish every shot. A good script writer, editor and cinematographer have a huge impact on the quality of a movie. But these roles are only a small portion of the operating budget of a movie. Filming every single scene is an exhausting undertaking and this constitutes the bulk of a movie production’s budget. If you can get good quality footage without leaving your garage then you can have a small team make a great movie. Maybe not the extent where you simply click a button but to the level that you would launch straight to a streaming service.


Yes, AI will probably fail miserably for a while at least, at making the sort of well written artistic, clever movie that nobody watches. The only ones that need to be worried are the studios making churning out massive blockbusters…


Michael Bay has said that he doesn't like AI.


I stand corrected. I should have remembered that organisms that occupy the same niche have the strongest competition.


If you look at the majority of their catalogue these days, they really aren't trying to squeeze that last 10% out of the movie quality these days anyways, so I doubt it will matter.


A 90% approximation of what somebody wants might be more interesting to that person, than a 99% approximation of what some studio exec wants.


Self driving cars are quite safe and ubiquitous if you're in the right cities


It’s true of everything


Yet VCs are sold that last 10% and an additional 10% on top. No idea why they keep throwing their money into the fire.


I'm grateful for this


Because VCs are compulsive gamblers, and they're convinced the payout if they "win" is enormous


to be fair, that's exactly what the asset class EXISTS for - betting on huge outcomes, no matter the odds. People misunderstand that due to how much of tech is "VC funded" when building stuff that would fare better as a bootstrapped company (or funded by other means)




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