this post was submitted on 15 Feb 2024
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It’s called Pi and it’s a conversational AI made to be more of a personal assistant. In the bit of time I’ve used it, it’s done far better than I expected at reframing and simplifying my thoughts when I’m overwhelmed.

Obviously, talking to a real person is much better if possible, but the reality is some of us don’t have the finances to pay for therapy or other ways to cope with the anxiety/depression that so often comes with ASD. What are your thoughts on this?

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[–] [email protected] 9 points 9 months ago (8 children)

That’s a huge concern for me too. They do explicitly state in the Privacy Policy that your data will never be sold or shared with third parties for advertising purposes, but that only means so much. It would be nice to see a full list of exact companies/services they use behind-the-scenes. Regardless, I really look forward to the day I can self-host something this powerful myself

[–] [email protected] 7 points 9 months ago (4 children)

It might be correct at this moment (as they have not yet found the data breach or decided selling your data is more profitable).

I would absolutely prefer something selfhosted. If its small, it can run on a pi. If it needs gpu power, one could host it for their friend group or family and recoup the cost and effort that way.

But I honestly dont think a post training conversational AI (for one person) should be that demanding. We‘d need a ML specialist to confirm that though. Some really know what they’re talking about.

[–] [email protected] 4 points 9 months ago (3 children)

Agreed. I’ve dabbled in it some but I’m no expert, maybe someone else could chime in. I just haven’t found anything that works quite as well as Pi yet and it was really intriguing to say the least. You can even talk to it verbally back and forth like a phone call

[–] [email protected] 2 points 9 months ago

I am no expert either, but I once trained and ran an AI chat bot of my own. With a decently powerful Nvidia GPU it could output a message every 20-ish seconds (which is still too slow if you want to keep the conversation at a decent pace). I also tried it without a GPU, just running on my CPU (on a PC that had an AMD GPU which is about the same as not having one for ML applications) and it was of course noticeably slower. About 3 minutes per message, give or take.

And bear in mind, this was with an old and comparatively tiny model, something like Pi would be much more demanding, the replies my model produced hardly made any sense most of the times.

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