Recent comments in /f/Futurology

yeah_i_am_new_here OP t1_jebnrn5 wrote

Well put! To piggy back off your point, I think the persistence issue in it's current state is what will ultimately stop it from taking over too many knowledge worker jobs. The efficiency it currently creates for each current knowledge worker will of course be a threat to employment if production doesn't increase as well, but if history is at all trustworthy, production will increase.

I think the biggest issue right now (outside of data storage) for creating AI that is persistent in it's knowledge is the algorithm to receive and accurately weigh new data on the fly. You could say it's the algorithm for wisdom, even.

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marcusaurelius_phd t1_jebnrm7 wrote

> They also plan to store weeks worth of clean fuels.

They plan, some time, maybe, somehow.

Nuclear works now. There's also a way to have cheap, nearly free nuclear: not fucking closing perfectly working plants.

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FeloniousReverend t1_jebnbje wrote

But the whole argument requires picking and choosing your stance, so you're choosing to base it off an average family or four in the US as opposed to a generic "hunter-gatherer of North America," apparently from the north/northwestern region. There were periods long before they could hunt large game, and there are groups today, such as the Inuit, that have extremely limited traditional diets in regard to biodiversity if you don't include the influx of modern foods.

I'm just taking exception to the often-stated but not well-defined stance that hunter-gatherers of specific yet undetermined locations and time periods had such impressively diverse diets compared to modern times.

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marcusaurelius_phd t1_jebmyt0 wrote

I'm pointing you to real time data from right now, where nuclear produces dozens of actual gigawatt of carbon-free power and wind+solar sucks and fails to meet demand that has to be covered by gas and coal, but hey, don't let facts get in the way of your pie in the sky schemes where solar makes sense in Northern Europe and anticyclonic events don't affect the whole continent.

Also re levelized cost of electricity, do you know what the lowest sell PRICE of that wonderful Danish wind power is on the market? It's almost 0€. Not because it's cheap, but because it's next to worthless when there's plenty of wind as there's too much supply and nothing to do with it. And you know what the Danes have to do when there's no wind? They have to buy hydro from Norway at outrageous prices, because there's huge demand.

My point? The levelized cost of intermittent renewables WITHOUT pricing in storage or alternatives is just a fucking lie. Nuclear does the job, it's doing the job right now.

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Fire__Marshall__Bill t1_jeblwzb wrote

> they just choose not to eat it

I do get your sentiment but consider that for a lot of people it's not choice, they simply can't afford those more expensive foods.

For example bison meat where I live is about $10USD per lb. If you're trying to feed a family of 4 on a budget, ground beef at less than half that price looks a lot better.

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Thin-Limit7697 t1_jeblkd7 wrote

It wouldn't give a fuck.

AIs are neither superheroes nor gods, they are tools that only exist to learn how to do a job and then do it in the best way it can. They don't care about anything else.

Now, who would decide what job should said AI perform? And what job would it be? And who is going to train it? That's the real question.

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elehman839 t1_jebley2 wrote

Yes, and I think this reflects an interesting "environmental" difference experienced by humans and AIs.

Complex living creatures (like humans) exist for a long time in a changing world, and so they need to continuously learn and adapt to change. Now, to some extent, we do follow the model of, "Spend N years getting trained and then M years reaping the benefit", but that's only a subtle shift in emphasis, not a black-and-white thing as for ML training vs. inference.

In contrast, AI developed largely for short-term, high-volume applications. In that setting, it makes sense to spend spend a lot of upfront time on training, because you're going to effectively clone the thing and run it a billion times, amortizing the training cost. And giving it continuous learning ability isn't that useful, because each application lasts only minutes, seconds, or even milliseconds.

Making persistent AI that continuously learns and remembers seems like a cool problem! I'm sure this will require some new ideas, but with the number of smart people now engaged in the area, I bet those will come quickly-- if there's sufficient market demand. An I can believe that there might be...

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