drewdarko

joined 2 years ago
[–] drewdarko@kbin.social 9 points 2 years ago (5 children)

Step 1: reduce speed limit
Step 2: always have speed trap in place
Step 3: profit

[–] drewdarko@kbin.social 3 points 2 years ago

Freudian Flip

[–] drewdarko@kbin.social -4 points 2 years ago (1 children)

How do you reasonably surmise if someone is being falsely charged? I don’t know what role Scientology plays in this. What brings them up?

[–] drewdarko@kbin.social 0 points 2 years ago

There are also countless cases of innocent people being convicted of crimes they didn’t commit. I’m not saying that happened here but it does happen.

[–] drewdarko@kbin.social 1 points 2 years ago (3 children)

Because the justice system isn’t perfect and it’s possible for innocent people to get convicted.

[–] drewdarko@kbin.social 7 points 2 years ago (1 children)

No one seems to be paying attention to the fact that technology has added a lot of new career fields over the last few decades.

If you add a new career field like software engineer or fiber optics service technician and your work force stays relatively the same size then you will divide up your workforce over a greater number of professions. Leaving less workers to be carpenters, plumbers and electricians.

[–] drewdarko@kbin.social 13 points 2 years ago

“I looked at my asshole in the mirror the other day… It blew my fucking mind.”

-Adam Sandler

[–] drewdarko@kbin.social 2 points 2 years ago (1 children)

If our brains worked exactly the same as AI programming then AI wouldn’t be needed because it would be no different than how we are doing things without AI.

[–] drewdarko@kbin.social 1 points 2 years ago (3 children)

In other words they require exponentially more input because the AI doesn’t know what it is looking at.

It uses its perfect recollection of that input to create a ‘model’ of what a face should look like and stores that model like a collage of all the samples and then uses that to reproduce a face.

It’s perfect recollection with an extra step.

[–] drewdarko@kbin.social 3 points 2 years ago (1 children)

The reason they fuck up hands is because hands are usually moving during pictures and have many different configurations compared to any other body part.

So when these image AIs refer back to all the pictures of hands they’ve been fed and use them to create an ‘average approximation’ of what a hand looks like they include the motion blur from some of their samples, a middle finger sticking up from another sample or extra fingers from the sample pictures of people holding hands etc and mismatch them together even when it doesn’t fit in the picture being created.

The AI doesn’t know what a hand is. It is just mixing together samples from its perfect recollection.

[–] drewdarko@kbin.social 4 points 2 years ago (5 children)

This is incorrect actually. The models these AIs run from by definition have perfect recall and that is why they require ENORMOUS resources to run and why ChatGPT became less effective when the resources it was allocated were reduced.

-ChatGPT

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