Computer scientist, privacy secure live streamed outputs to remove the labor from AI generated orgasms, anyone good with android or ux want to jump in?

General
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Hello, I’m aware of the other AI and ML tools for funscript that exist, but have not seen one that fulfills my primary pain points:

SUCH AS:

  1. I do not want to send detailed logs and metrics about the granular aspects of every element and detail of my porn, sucksleeve10,000, and moment of ejaculation to unnecessary websites, companies, and APIs which exist for the pure purpose of nefariously milking more data from me than cum.

  2. I do not want to deal with the latency that comes as a part of #1, making it difficult to or impossible to sync to one of a preprocessed finite number of videos to my device, rendering it a bit useless when you consider that’s the only reason to even use this interface.

  3. I don’t want to code just to get off, nor do I want to preselect and curate a menu of scripts to store around and curate, adding yet another clearly neurotic and overly logical aspect to my life, which used to be one of the fortunately normal elements of my psyche, until I got this silicon slime slurper and really considered the possibilities of what a truly optimized generative pipeline could do if wholeheartedly employed as your personal cum calculator.

That being said, I’ve trained some draft models already:

  • Running well under 50,000 params
  • In a continuous manner (i.e., not a discrete set ‘chunk’ of outputs but an array of arrays of overlapping windows(or both upper and lower triangles for those of you who know the secrets of torch)
    *Approximates the quality of some lazy hand done examples well enough for me to have considered it worthwhile to orchestrate a more organized effort and so I’ve now constructed a pipeline I’m proud of which appears to go some distance to adequately address the issue of what movements to mirror from the videos and when in uncommon or complex scenes

Device and API

  • I’m not incredible with JavaScript, but fortunately/unfortunately, my personal probabilistic penis pleasurer is the Autoblow AI Ultra.

  • The API (and the historical caches of the initial release of said API and dependencies) are incredibly straightforward and demonstrate how a local network can be run under an API to trick the thing into thinking it’s still cataloguing the generations of lost children it consumes with the corporate ai fucksleeve masters using some manually sent signals to allow it to actually work with the device in a privacy-secure manner, solving our latency issue.

  • The model we need for this should run thousands of times faster than real-time on half of a toaster and genuinely requires no server overhead.

###Whether or not that implies X or Y party is guilty of a lack of ability to be efficient or lack of honesty about their actions in regards to the need to collect so much data (I may as well send a sperm sample), I couldn’t say.

I’ve been aware of this branch of the technology for roughly 48 hours. This puts me in the position of needing to solve this problem before I can actually use the technology, and needless to say, this has put a bit of haste under my feet.

So, to get to my point the TL;DR is thus:

  • For myself personally, I can build the pipeline to run on my local network and give me my seamless on-the-fly experience for which I don’t want to even have to hit a button to tell the thing go, and have this problem solved.
    • I’m building an AI to do extremely fast very high quality streaming of instructions (fun streams?) based on a completely local and offline stream of your monitor outputs to infer when and how to Fourier transform your nads, If anyone else is interested in leveraging the fruits of my labors here, then I’m interested to know if there are any among you who can:
      • Compile the model and tooling into something for Android if I build and train it in my native language and frameworks.
      • Produce a UI, saving the end user from the same problem we as “cum coding goblins” seek to address
    • Whether there’s a financial incentive or it’s a widely deployed open-sourced tool, is something which I leave to the general community’s discourse and the decision of the individuals who help me out with this project.

Thank you for your time

And yes, of course I designed it so that we can use it to teach llms to give us hand jobs, I’d be crazy not to.
— Tbb

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Hi, Im a Mobile Dev, with android and ios, I guess i can help

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I work in that industry. Locally run LLMs require hardware that a lot of people do not have. Then if you want to use it on a phone, restraints become even tighter. The only option is using a hosted model and their api to get the speeds youre thinking of on a phone. I know people say you can run a model on a phone but they mean tiny models that produce incoherent responses. They are useless.

No, youre not going to train you’re own model and no 50,000 parameters wont be enough. You could fine tune maybe a 3 billion param model that potentially could maybe work. But you will have some limits.

you mention torch, im assuming you mean pytorch, but what follows that doesn’t make any sense. Pytorch is also an extremely complex library. If youre claiming you somehow solved something within it… Ok, show me…

Beyond all of that, what youre suggesting would be a lot of work. I also dont think making it work on the phone should be an initial target. I would make it run on a PC then and only then port to android if you want.

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Please make a list, because half of people are not aware, and some baselines would be great

Me who spent more time on rewriting EDI in MFP then using it: thatfeelsman

Eeeerm is that even possible?
There’s a thread where OP is trying YOLO and that’s heavy AF
Well he’s already scaled down the vid to 1080p so it’s less AF heavy but still

If you gonna think to think you may think on a proper chatbot a la Virtual Succubus but with a heavier backend?

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You are absolutely correct about parameters moreover, the quality of those matters. This is in no way a one-person job.

I don’t want to say it’s impossible, but OP is highly underestimating the project.