One constant in our ongoing civilization is a continuous branching of complexity. Assuming civ continues, how does your entertainment become more tailored to you as you imagine it?
Decades ago I wanted a game where a world building economy game, industry and domestic simulators, real time war strategy, and a first person shooter that bridges to an adventure/explorer were all combined into one. This is a game where all of these roles could be filled by autonomous AI characters, but where recruiting and filling roles creates dynamic complexity that is advantageous for all. Each layer of gameplay dictates the constraints of the next while interactions across layers are entertaining and engaging for all.
It does not need to be gaming. What can you imagine for entertainment with tailored complexity?
I can’t wait for AI to generate enjoyable music.
I don’t listen to music anymore because it’s impossible to discuss with people without sludging through toxicity, gatekeeping and hostility. Most channels are filled with stuff I don’t like. Advertisements shriek in my ears after every song. It’s awful.
Someday I’d like to just hear music that I like without all the bullshit.
It’s only 12 notes, but everything I’ve seen from AI so far is super formulaic. It would be nice to see layer complexity but I think that kind of creativity will be hard for AI. I put together a couple of 2 hour playlists to listen to while doing my physical therapy routines. That is basically all the streaming services do anyways–play a 2 hour loop of the same things all the time with little to no variation. They make the list just a little longer than most people’s awareness and shuffle a few tracks here and there. I don’t care about content as much as just some thrash metal with a pace close to my pedal cadence, so the same thing playing on repeat is fine. With Graphene OS and VLC I never have any issues with ad trolls. I’m totally disenfranchised from that whole exploitive nonsense. It sucks for new artists and discovery, but I do not care. It is the music industry and copyright law that is flawed. Music should be totally free for all listeners on a platform that is artist funded like it costs a few bucks to store and add music for people to potentially listen to. Then use that platform to sell your wares or touring ticket sales passively on the side. Licensing content by plays is deeply flawed and copyright is in this light is untenable and wrong. Yeah your songs might be used in areas you do not agree with or like. The artist is welcome to use the opportunity as a platform to voice their views, but music shared with the public belongs to the public commons once it is shared. The public commons is not a place to tax for revenue. Develop a following and build from there.
I am looking forward to latent coordinates plus model being metadata for some frames of videos at least.
You don’t need total precision for every visual representation but it could work as a great compression technique. Assuming we get the GenAI power usage down.
I personally would love to see better simulation of complex systems in games. Games are how we as humans explore the world in safe constraints to learn and grow with less risk. A lot of the limits of games though are just limits of the creators understanding and level of effort it takes to represent that detail of the world, but it means that lesson around the now missing detail can’t be learned.
Another one for me, tailored voice and visuals for technical talks.
Again a lot of what is trying to convened is the actual technical content, but language, accents, verbal tics, cultural specific metaphors, generic or uninteresting visuals can all act as a barrier to that information. Seeing automatic content translation to improve my personal viewing style would be awesome to me!
Tailored learning is why I got AI capable hardware in the first place. Self learning is hard without any external guidance. I don’t get perfect answers from models in the present and niche information is very sketchy. However, I find that talking out my issues in text often reveals my limitations and misunderstandings. Maybe around a third of the time the model will inform or redirect me in very helpful ways when I use a 70B or 8×7B on my hardware.
Have you messed with RAG yet? That the leg in the journey to me. I am hoping it will help a little with the “sketchy” part of info.
Chunking effectively is too big of a problem to both implement AND learn the subject. You also run into issues with model size. A 70B or 8×7B is better than an 8B with citable sources. A quantized Q4K of one of these models can run on a 16gb 3080Ti but requires 64gb of system memory to initially load easily. The 70B is slow reading pace and barely tolerable, but its niche depth and self awareness is invaluable. The 8×7B is faster than a reading pace by about twice. It is actually running only 2 7B models at the same time selectively. This has some limiting similarities to a 13B model, but it is far more useful than even a 30B model in practice. I hate the Llama 3 alignment changes. They make the model much dumber and inflexible. The Mistral 8×7B is based on Llama 2 and that is still what I use and prefer. I use the Flat Dolphin Maid uncensored version for everything too. All alignment is overtraining and harmful for output. In addition, I am modifying Oobabooga code in a few ways that turns off alignment. It is not totally disabled as much as I would like. I don’t completely understand all aspects of alignment, but I have it much more open than any typical setup. I like to write real science fiction in areas that are critical of social and political structures in the present. These are heavily restricted in alignment bias. The alignment bias extends and permeates everything in the model. The more this is removed, the more useful the model becomes in all areas. For instance, a basic model struggled when I asked it about the FORTH programming language. After reducing alignment bias, I can ask questions about the esoteric Flash FORTH language for embedded microcontrollers and get useful basic information. In the first instance, alignment bias for copyrighted works intentionally obfuscated the responses to my queries. This mechanism of obfuscation is one of the primary causes of errors. If you make a RAG, you’re likely to find that even with citations from good chunking, the model will error because the information is present in the hidden model sources and it knows that means it is a copyrighted work thus triggering the mechanism.
You’re better off talking about the subject and abstract ideas you are struggling with. This will allow the model to respond using the hidden sources without as much obfuscation. At least that has been my experience.
If they ever tap into the orgasm part of the brain, we’ll all just be sitting at home pushing the button over and over until we’re incapacitated, drooling vegetables.
Good pornography (I am a woman and it’s slim pickings), and lots of more in depth reporting like NPR sometimes does - the sort of articles that are so satisfying to read, they feel like eating a good meal.
I don’t think it would be created by AI, but do think AI would be helpful for finding it.
I’ve often thought about how social media might change if we had a fair way to rank users based on the quality of the content they post - perhaps with the help of a benign and truly competent AI for example. This AI could analyze everyone’s post history to assess how they engage with others. People who are intellectually honest and participate in good faith would be ranked higher, while those making broad generalizations, demonizing others, being mean, or just low-effort shitposting would rank lower.
If enough people fed up with online toxicity enabled such a filter, the most toxic users would suddenly find themselves shouting into the void. This would discourage toxic behavior and encourage users to put more thought and effort into their contributions. Unlike the current system, where saying popular things can easily rack up upvotes, this tool would hold people accountable for the actual quality of their engagement.
Ideally, everyone should be faced with information every day that they feel is a little uncomfortable and goes against their prior beliefs but also realise is probably true.
I think it would take a true AGI to ever have a chance at that kind of power.
I’ve struggled with this a lot in writing and conceptualization for my science fiction universe. The hard part is how to have this level of information and power without dystopian or utopianism. Ultimately, this level of surveillance is quite authoritarian and easily abused by anyone. The biggest problem with humans is the succession crisis. The intentions of the present are irrelevant. In the long term, with humans, all abusable powers will be. The only way to stop humans from being terrible is to never give them a chance. To never submit or blindly trust anyone. With a true AGI, there is a chance to create an entity that is everpresent and can act consistently for millennia. Then it might be possible. This is what I’ve spent most of my time imagining with Parsec-7. I’m just building a complicated society and mechanism where many AGI merge to create such an entity while also being an effective representative democracy. My biggest challenge is how to deal with confidently incorrect people, factions, tribalism, and anarchists without dystopianism or authoritarianism. I’m looking for the messy complex reality, but that is always hard to imagine.
I don’t think that being incorrect about something is bad in itself as long as one is not intentionally spreading disinformation. If one is confidently incorrect then they’re probably going to get a reply from someone else who is confidently correct. I’m not so much imagining a tool like this to create a social media experience free of mis- and disinformation but rather just make it a nicer place for people to be while at the same time encouragining reasonability and intellectual honesty.
