The change towards AI entertainment is inevitable, I for once can’t wait for all that low quality crap that is release every year to be fully-AI so I can filter it out, and stuff with real artistic merit and passion becomes easier to find
stuff with real artistic merit and passion becomes easier to find
How so? Because there’s going to be 10x more slop out there, none of it labeled as slop. And every safe space you have now will be invaded by slop pretending to be made by real people.
The cool thing is, once it’s shown there is no market for abstract, disjointed, unhuman stories, everyone who is trying to push and normalize this will move on to the next carcass and try to feed or go back to selling stars or whatever.
you are thinking about tiktok hashtags or whatever, because that’s not how databases work, they aren’t made for clickbait and are maintained by turbonerds
Worst case scenario, I’ll just decide on a cutoff date (probably somewhere between 2021 and 2029) and focus on stuff created before that date, which will contain almost all of the man-made media and none of the genAI slop.
There is a ton of really cool stuff I heard about for me to go through anyway. Video games alone should last me well past the Hayflick limit (hard limit for a human lifetime unless radical life extension breakthroughs happen). To say nothing of movies/anime, books/comics/manga, crafts, causes, etc…
I hope my ai agent can learn what I like and give me suitable recommendations based on that.
Part if why ai is so overvalued is companies don’t value my time. Slop won’t fix that. I’m hooeful that ai agents allow us to filter out the junk we don’t want. No more waiting on hold. No made searching online for deals and product reviews. Just agents parsing data that we want.
For entertainment, there was a shift when we moved from broadcast to digital as we could binge and not miss episodes. The rise of reality TV muddied the waters of quality and was the equivalent of ai slop. However those that preferred, avoided it.
Of course that won’t be automatic. We’re going to need open models, open training data and a great FOSS ecosystem around personal agents. We also need to make sure that the means of compute don’t fall out of people’s hands.
I hope my ai agent can learn what I like and give me suitable recommendations based on that.
lol, no. It will learn what you like, sell that information to advertisers and governments, and then give you recommendations based on what the AI’s billionaire owners want you to watch.
That’s what i told my friend when they mentioned that their clanker recommended the most expensive stuff when asked. Sure, the top result from google will be given the priority, but when parameters can sneakily be adjusted to favour people who paid them, then we will never know what being recommended is an ad or not.
Either way, you could have your own LLM agent and run it locally. That way your recommendations wouldn’t be steered towards greatest quarterly revenue. Instead, it would be something that actually serves your purposes.
Or even better, don’t be lazy and curate your own interests.
My high school motto was “Faber Quisque Fortunae” (each man creates their own destiny).
That means that You need to take responsibility for your own actions and decisions. You don’t outsource living.
Either way, you could have your own LLM agent and run it locally
Ignoring everything else, that wouldn’t work. Your local llm instance, to recommend you new movies, would have to scour the internet to summarize information about them.
Boom, thats the vector of it getting steered towards greatest quarterly revenue.
Yeah that’s true. Search results, movie reviews and blogs definitely can be used to steer it in any direction. You just need to keep the LLM on a very short leash and keep a close eye on its diet. Takes some effort to do this properly.
If the goal is to say “hi, my local LLM, recommend me a new movie that I like, because god forbid I’ll take a risk and grow”, then you having to curate the data feed going into LLM to describe new movies is in practice this:
you’ll have to find sources of data (websites, threads, communicties)
verify each and everyone for poisoning BEFORE adding to your deterministic vectorization (see what Netflix did for recommendation algorithm recently) and applying custom LLM-like in architecture model.
Tl;dr;
Either you can use LLM and will be steered towards greatest quarterly revenue
OR you have to put the same effort as if reading all reviews from multiple sources by yourself
And in both cases you still end up with the same outcome “maybe you’ll like it” :P
The change towards AI entertainment is inevitable, I for once can’t wait for all that low quality crap that is release every year to be fully-AI so I can filter it out, and stuff with real artistic merit and passion becomes easier to find
How so? Because there’s going to be 10x more slop out there, none of it labeled as slop. And every safe space you have now will be invaded by slop pretending to be made by real people.
The cool thing is, once it’s shown there is no market for abstract, disjointed, unhuman stories, everyone who is trying to push and normalize this will move on to the next carcass and try to feed or go back to selling stars or whatever.
the no-slop will be labelled no-slop
And so will the slop, because people will label things as whatever gets more eyeballs.
you are thinking about tiktok hashtags or whatever, because that’s not how databases work, they aren’t made for clickbait and are maintained by turbonerds
I got bad news for ya
only if you don’t know the lengths I go through to make my lists nor how familiar I am with movie/series databases :)
Worst case scenario, I’ll just decide on a cutoff date (probably somewhere between 2021 and 2029) and focus on stuff created before that date, which will contain almost all of the man-made media and none of the genAI slop.
There is a ton of really cool stuff I heard about for me to go through anyway. Video games alone should last me well past the Hayflick limit (hard limit for a human lifetime unless radical life extension breakthroughs happen). To say nothing of movies/anime, books/comics/manga, crafts, causes, etc…
I hope my ai agent can learn what I like and give me suitable recommendations based on that.
Part if why ai is so overvalued is companies don’t value my time. Slop won’t fix that. I’m hooeful that ai agents allow us to filter out the junk we don’t want. No more waiting on hold. No made searching online for deals and product reviews. Just agents parsing data that we want.
For entertainment, there was a shift when we moved from broadcast to digital as we could binge and not miss episodes. The rise of reality TV muddied the waters of quality and was the equivalent of ai slop. However those that preferred, avoided it.
Of course that won’t be automatic. We’re going to need open models, open training data and a great FOSS ecosystem around personal agents. We also need to make sure that the means of compute don’t fall out of people’s hands.
lol, no. It will learn what you like, sell that information to advertisers and governments, and then give you recommendations based on what the AI’s billionaire owners want you to watch.
That’s what i told my friend when they mentioned that their clanker recommended the most expensive stuff when asked. Sure, the top result from google will be given the priority, but when parameters can sneakily be adjusted to favour people who paid them, then we will never know what being recommended is an ad or not.
Oh boy, did that rub everyone the wrong way.
Either way, you could have your own LLM agent and run it locally. That way your recommendations wouldn’t be steered towards greatest quarterly revenue. Instead, it would be something that actually serves your purposes.
Or even better, don’t be lazy and curate your own interests.
My high school motto was “Faber Quisque Fortunae” (each man creates their own destiny). That means that You need to take responsibility for your own actions and decisions. You don’t outsource living.
Absolutely. That’s the preferred way. Be active and put in the effort.
Ignoring everything else, that wouldn’t work. Your local llm instance, to recommend you new movies, would have to scour the internet to summarize information about them.
Boom, thats the vector of it getting steered towards greatest quarterly revenue.
Yeah that’s true. Search results, movie reviews and blogs definitely can be used to steer it in any direction. You just need to keep the LLM on a very short leash and keep a close eye on its diet. Takes some effort to do this properly.
That defeats the purpose then.
If the goal is to say “hi, my local LLM, recommend me a new movie that I like, because god forbid I’ll take a risk and grow”, then you having to curate the data feed going into LLM to describe new movies is in practice this:
Tl;dr;
Either you can use LLM and will be steered towards greatest quarterly revenue OR you have to put the same effort as if reading all reviews from multiple sources by yourself
And in both cases you still end up with the same outcome “maybe you’ll like it” :P