[snek_case]

Well, I think that ideally, if you have AI-generated content, the AI would generate content that's tailored specifically for you. It would have a good model of what you're interested in, and would know how to create an intrigue that you specifically will find interesting.

[sitkack]

It will be AI generated shopping channel dynamically generating products for you to buy on subscription. This one of the solutions to the Drake equation

[dotnet00]

This reminds me of Google's 'The Selfish Ledger' thought experiment video from a few years ago: https://www.youtube.com/watch?v=QDVVo14A_fo

[sitkack]

Wow

[Melting_Harps]

> It will be AI generated shopping channel dynamically generating products for you to buy on subscription. This one of the solutions to the Drake equation

This is rather probable business model for non General-AI targeted at the end consumer, incidentally it too reads like an AI response: specifically the part about the Drake equation and reminds me of Carbon Based Lifeforms - MOS 6581, whose lyrics also sound like an AI repeating a story about horses and Mongols like OPs [0]. And the start of album is a track called Abiogenesis that has a repetition of the Drake Equation in it, no less.

Putting all that together as a person that is actually studying AI/ML, I found it all rather freaky. Obviously, I know AI in it's current form is rather limited in it's capacity and scope but it makes for interesting lore none the less. Especially if it ever lives up to it's marketing hype. I'll be saving this post to look back at as I progress in my studies over the years.

0: https://genius.com/Carbon-based-lifeforms-mos-6581-lyrics

[sitkack]

We are using ML and the pointy end of capitalism to create traps for the human mind (at scale). This is dangerous.

[Melting_Harps]

> We are using ML and the pointy end of capitalism to create traps for the human mind (at scale). This is dangerous.

That remains to be seen, if the extent of ML thus far can be measured by it most ubiquitous use case then it's only pitfall is making people worse spellers than they already were. Autocorrect is a form of ML that quite honestly displays the MANY shortcomings at something that has been around for what? Nearly 20 years now?

While concern is the main response to new things, I'm cautiously optimistic, I'm just finding that it's use-cases seem trivial more than impactful let alone existential.

[sitkack]

> if the extent of ML thus far can be measured by it most ubiquitous use case then it's only pitfall is making people worse spellers than they already were

that is a ridiculous gaslight. ML makes people worse spellers, really?