0 points

Pareto principal for psyops, by a think tank organization too. Why is this nonsense tractable here?

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1 point

Because AI reversed the ratio.

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12 points

That’s great. Like 5% more fails than regular software projects. Why do people see this as validation for AI failing? Lol

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3 points

Because they want it to be.

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2 points

AI isn’t going to fail, LLMs are going to fail and fail spectacularly.

Expert systems are already being very effectively used in medicine and astronomy, political sentiment shifting and HFTs.

Sentiment scraping expert systems are where the real danger and profit is, but everyone is being distracted by fuckdamn chat bots.

It’s like the whole world freaking out about plastic straws when the real problem is microplastics settled in every fuckdamn organism on the planet.

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53 points

This isn’t unique to AI.

80% of new businesses fail, period.

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9 points

Inside the first 10 years. We’ve been fucking around with AI for less than three.

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22 points

AI has been around much longer than 3 years… LLM is just a new twist.

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10 points

And for the most part it’s still powered by underpaid South Asian manpower lol.

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40 points
*

Isn’t it good that the money is being put back into circulation instead of being hoarded? I’m all in for the wealthy wasting their money.

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8 points

Yeah, the brightest minds instead of building useful tech to fight climate change, spend their life building vanity AI projects. Computational resources instead of folding proteins or whatever are wasted on some gradient descent of some useless model.

All while working class wages are stagnant. And so your best career advice is to go get a random tech degree so you could also work on vanity stuff and make money.

This is cryptocurrency equivalent. It’s worse than CEOs buying yachts. The latter actually leads to some innovation.

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1 point

Succesfully creating an actual AGI would be by far the biggest and most significant invention in the human history so I can’t blame them for trying.

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3 points

A bunch of people fine-tuning an off-the-shelf model on a proprietary task only to fail horrendously will never lead to any progress, let alone AGI.

So, nobody is trying AGI.

If all those people would actually collectively work on a large-scale research project, we’d see humanity advance. But that’s exactly my point.

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12 points
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Kinda, but it’s like feeding a starving child nothing but candy until they die.

¯\_(ツ)_/¯

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3 points

Thats a “Parable of the Broken Window”. They could be spending their money on something actually useful.

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3 points

But they probably wouldn’t, they’d just throw it at gold, crypto, or something else that doesn’t provide any real value.

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1 point

Even stuffing it under a mattress is better than wasting people’s time.

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12 points

I’m willing to bet the vast majority of that money is changing hands among tech companies like Intel, AMD, nVidia, AWS, etc. Only a small percentage would go to salaries, etc. and I doubt those rates have changed much…

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5 points

They typically use internal personnel and being parcimonious about it so you’re right about that.

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4 points

The larger issue that people always fail to remember is the energy consumption. We are see massive amounts of electricity.

One peer-reviewed study suggested A.I. could make up 0.5 percent of worldwide electricity use by 2027, or roughly what Argentina uses in a year. Analysts at Wells Fargo suggested that U.S. electricity demand could jump 20 percent by 2030, driven in part to A.I.

The wealthy are under sailing like always. Just like we did with cigarettes or burning fossil fuels. We should have learned but it by the time we do, it might be to late.

https://archive.ph/AqhHz

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46 points

The problem is the bulk of it is going to Nvidia.

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24 points

Don’t forget all the fuel burned for electricity to power it!

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9 points

Well probably not just Nvidia but the next likely beneficiaries are in the same range (Microsoft etc.)

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2 points

The money goes to Microsoft/Google/Amazon/etc, which they goes to Nvidia.

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4 points

Welcome to AI:

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1 point

The hype-cycle is the exception, not the norm. Very commonly stuff just ends up dying.

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4 points

I doubt AI is going to die, it’s objectively useful in many cases. We just don’t need it absofuckinglutely everywhere.

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6 points

AI not, but I’d be less certain about LLMs.

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