breaditbans

breaditbans t1_jd7mi59 wrote

Her is already becoming true. Check out r/replika.

I do feel some relief HER didn’t come on as a one time, HOLY SHIT, update to windows that enslaved everyone. It seems to be trickling in as chatbots that trick people who aren’t very bright. But people started turning their replikas into sex machines so much that the company, after charging $70 for the “girlfriend/boyfriend experience,” NERFed the erotic role play. I picked a meme link, but there’s a number of news sources if you’re curious.

So, like everything else online, HER’s most popular use is as sex slave. I guess I shouldn’t be surprised. A company is already installing chatbots in sex robots. When that is mastered, dance clubs will be women and poor men, the US fertility rate will rapidly approach zero and our concerns over climate change will be a thing of the past.

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breaditbans t1_jc58kpl wrote

They loaned the money to the federal govt, which means SSA is collecting interest on cash just sitting there.

The funny thing is there was a book (probably not the only one, but the one I remember) written in ~1994 talking about how SS would be gone just in time for my generation to collect it. (Born in 1976) And every time a Democrat has been elected since 1994, suddenly the Social Security and Medicare trust funds are pushed right to the top of every newspaper and news website. In 2009, they were saying Medicare will go bust in 2017 and SS in 2024. From 2016 to 2020, nobody talked about the solvency of these two programs. Now magically, Medicare and SS are on the brink of disaster again, but…not for another 12 years.

Folks, there is no disaster. The money is available. Do you want to know how I know that? It’s because old people vote. The money will always be found for old people because if it isn’t, the politicians get removed.

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breaditbans t1_jc57dmq wrote

Ten years ago the depletion date was 2025. I’ve tried to find the ever changing insolvency date. It moves back by a few years every few years. Nobody explains why or how.

Changes would have to be made to maintain benefits as they are currently described. But if no change to the law is made, benefits would decrease by ~20-25% compared to what was promised.

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breaditbans t1_j0qxh8u wrote

Manual labor will still be needed. No matter how smart AI is, it won’t be repairing your faucet, wiring your new ceiling fan or building your gazebo.

It remains to be seen if ML algos can ever go beyond clever illusions. Artists will be fine. Well, artists have never exactly been a big part of the economy. But art from humans will still be valued, if nothing else than a tax evasion vehicle for rich people.

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breaditbans t1_j0lb5h4 wrote

Let’s not be mean about this. IF AI replaces work instead of augmenting work, we will have a lot of unemployed people. But, there will always be work to be done. The AI can’t thread a screw to repair a door knob from 1913. The AI can’t repair a furnace or install insulation. Manual labor is going to be fine.

It’s the administrative assistants that are facing a threat. The middle managers, the accountants and book work people. But these are mostly people with more than two neurons to rub together. They will find other things to do. I suspect we’ll automate the boring stuff and spend our work hours doing the human stuff. Presumably the work hours will be more productive and pay could increase.

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breaditbans t1_j0l9qc4 wrote

I work in medical research. We are already seeing cool image based analysis, but it’s supervised machine learning that is only as good as the training set. This will apply to any machine learning algos. And that’s where we are going to run into issues. What I’d like to see in ML algos that can read 50 high impact papers in a field and put together a summary of the data. The problems arise when people have bad data. It might be fabricated, poorly designed expts or just bad statistics. The ML algos are going to assume that data is as real as the most well-performed experiments. The bad data will contaminate the good data and corrupt the conclusions drawn from the algos.

Will that problem get alleviated? Probably, but it’s going to take some time and it’s going to require a lot of bright people to curate the dataset to actually be able to draw better conclusions than we can arrive at alone. But in 15 years? God only knows. Maybe I’ll just submit whatever grant ChatGPT13 writes for me.

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breaditbans t1_itm7j6h wrote

There’s almost no benefit to doing this. Just look at the image. You have maybe 1000-1500 sq feet to feed 10 floors of people below? That will be enough agriculture to feed those people for less than a week. And then you’re talking about using none of the modern agricultural methods or equipment that make food cheap because it’s all designed for a farm. So, not only are you unable to feed all the people for any appreciable time, those you do feed will be paying 4x the price they find at the grocery store.

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