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Hypothesis Instead of using GPT or Claude…

BrazilianKen

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Why not make a local AI model on your computer, feed it LM and BP jargons, ratings, systems and photos so that it learns how to rate you in a more accurate way?

Typical AI models for mainstream use are made to be as shoe licking as possible so that people don’t get upset and sue the company if they end up killing themselves over it (ca.i past cases for example, which made them now implement face identification)

So, you just make one that’s gonna be as honest as possible from the information it learned from you. For example, LLaMA or Ollama.
 
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Face IQ app does that right?
 
Why not make a local AI model on your computer, feed it LM and BP jargons, ratings, systems and photos so that it learns how to rate you in a more accurate way?

Typical AI models for mainstream use are made to be as shoe licking as possible so that people don’t get upset and sue the company if they end up killing themselves over it (ca.i past cases for example, which made them now implement face identification)

So, you just make one that’s gonna be as honest as possible from the information it learned from you. For example, LLaMA or Ollama.
i think its more effective to just measure your face manually rather than going through the work of training an Ai, unless you intend to profit from it
 
Why not make a local AI model on your computer, feed it LM and BP jargons, ratings, systems and photos so that it learns how to rate you in a more accurate way?

Typical AI models for mainstream use are made to be as shoe licking as possible so that people don’t get upset and sue the company if they end up killing themselves over it (ca.i past cases for example, which made them now implement face identification)

So, you just make one that’s gonna be as honest as possible from the information it learned from you. For example, LLaMA or Ollama.
you can do it yourself with enough dedication
 
Some people tried to do that, literally tons of adds on tt for those apps and they still don’t rate accurately
 

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