Yes.

My point in this experiment, is that we as humans all we need to do is to give to all ai agetns one data source to write,read,edit and delete, and they will be able to handle everything for us. this is the point from my research that i'm most inspired.

If tomorrow all agents are aligned to the same list/data source, the current infrastructure of all apps and software will be changed, because we won't need it anymore

i dont get it. independent shops you mean airbnb?

its really interesting question about "independent shops" as separated topic, i guess they actually going to benefit from this no?

I mean independent as in without dependencies on AI labs.

And they might benefit through increased sales, but they will lose every other monetization avenue they had (visits, related items, data, etc). How does "the AI industry as a whole" reward all the shops of a given item and not just one consistently? That just sounds like SEO and AdWords with a different engine

Nice. what the use cases and groups of people you see that are going to use it?

I'll share a quote from a readme

> Communicate with people you trust, away from the eyes of modern surveillance and large corporations.

I hope this answers your question.

I really liked to read this. i had this idea in mind but its nice to be remind of it

Hi, can you please contact me at [email protected]

Thanks for the feedback. Are you going to forget this name though?

I don’t know if I will forget it, but it’s enough to keep me away from considering using it

No, you are right. Its more memorable. With my accent, I can pronounce it as Suckerman

I think it's a genius name and is playful on the meme of a pale Zuckerberg being a robot.

No, in the sense that I wouldn't forget an AI agent called "Epsteinman" or "Prolapseman" either.

Great point. I wrote it as important note and ill take it into account.

DIYWA - do it yourself with agent ;) hopefully zuckerman as the start point

I'm building this in the hope that AI will be cheap one day. For now, I'll add many optimizations

AI is cheap right now. At some point the AI companies must turn to generate profit

Anthropic has stated that their inference process is cash positive. It would be very surprising if this wasn't the case for everyone.

It's certainly an open question whether the providers can recoup the investments being made with growth alone, but it's not out of the question.

Problem is the models need constant training or they become outdated. That the less expensive part generates profit is nice but doesn’t help if you look at the complete picture. Hardware also needs replacement

Have you tested this with a local model? I'm going to try this with GLM 4.7

What would be the best model to try something like this on a 5800XT with 8 GB RAM?

Yes, it certainly makes sense if you have the budget for it.

Could you share what it costs to run this? That could convince people to try it out.

I mean, you can just say Hi to it, and it will cost nothing. It only adds code and features if you ask it to