AI one-percenters seizing power forever is the real doomsday scenario, warns AI godfather::The real risk of AI isn’t that it’ll kill you. It’s that a small group of billionaires will control the tech forever.
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As does being warned of technological oligarchs monopolizing AI by someone who works for fucking Meta.
They should rename themselves to Business Balls Deep Insider.
Business Insider is run by college students making minimum wage.
That’s how they got inside.
This is why we need large-scale open-source AI efforts, even if it scares the everliving shit out of me.
Might be one of the key democratizing forces us plebs will have…I do suggest people try out some of the open solutions out there already just to have that skill in their back pockets (e.g. GPT4All).
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Calling anyone the “godfather” or “father” of AI is the stupidest shit.
Longtime expert, prodigy, and one of the greatest minds in the field just isn’t good enough
At first the fear mongering was about how AI is so good that you’ll be able to replace your entire workforce with it for a fraction of the cost, which would be sooo horrible. Pwease investors pwease oh pwease stop investing in my company uwu
Now they’re straight up saying that the people who invest the most in AI will dominate the world. If tech companies were really all that scared of AI they would be calling for more regulations yet none of these people ever seem to be interested in that at all.
I think you’ve spotted the grift here. AI investment has faltered quickly, so a final pump before the dump. Get the suckers thinking it’s a no-brainer and dump the shitty stock. Business insider caring for humanity lol
Either ML is going to scale in an unpredictable way, or it is a complete dead end when it comes to artificial intelligence. The “godfathers” of ai know it’s a dead end.
Probabilistic computing based on statistical models has value and will be useful. Pretending it is a world changing AI tech was a grift from day 1. The fact that art, that cannot be evaluated objectively, was the first place it appeared commercially should have been the clue.
Probabilistic computing based on statistical models has value and will be useful. Pretending it is a world changing AI tech was a gift from day 1.
That is literally modelling how your and all our brains work, so no, neuromorphic computing / approximate computing is still the way to go. It’s just that neuromorphic computing does not necessarily equal LLMs. Paired with powerful mixed analogue and digital signal chips based on photonics, we will hopefully at some point be able to make neural networks that can scale the simulation of neurons and synapses to a level that is on par or even superior to thr human brain.
A claim that we have a computing model that shares a design with the operation of a biological brain is philosophical and conjecture.
If we had a theory of mind that was complete, it would simply be a matter of counting up the number of transistors required to approximate varying degrees of intelligence. We do not. We have no idea how the computational meat we all possess enables us to translate sensory input into a contiguous sense of self.
It is totally valid to believe that ML computing is a match to the biological model and that it will cross a barrier at some point. But it is a belief that does not support itself with empirical evidence. At least not yet.
A claim that we have a computing model that shares a design with the operation of a biological brain is philosophical and conjecture
Mathematical actually. See the 1943 McCulloch and Pitts paper for why Neural networks are called such.
We use logic and math to approximate neurons
Neural networks have been phenomenal in the results they have achieved, out doing support vector machines, random trees, Markov models etc… But I do wonder if there is a bias towards it being able to mimick what the brain does like the other post said, and where are the limits.
For example in medicine, we want to spot unknown correlations to improve things like drug discovery, stratified medince, strange patterns in disease within a population that suggests unknown factors at play… There might be a mathematical model better that convolutional neural networks that doesn’t mimick the brain, but we maybe need an ai to develop that, maybe like deep thought in hgttg!
Hgttg?
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I love hearing these takes.
“TVs are just a fad. All the good content is on radio!”
“The Internet is just a sandbox for nerds. No normal person will use it.”
“AI is just a grift. It won’t ever be useful.”
Lmao sure Jan.
AI has been, is and will be very useful, but it’s in an over hype phase poised for a drop. I don’t think you understood what I was saying
it’s in an over hype phase poised for a drop
AI isn’t a stock.
a final pump before the dump.
This is not how investment capital works.
I understood what you were saying.
I’ve heard some of them are calling for regulation, that favours them.
God I can’t stand these people who are only basically only worried about AI’s affect on the stock market. No normal person would even notice. we have more realistic issues with AI.
Sure AI is going to kill us all, but what about the Dow?!
Raytheon is going to make a killing selling terminators!!! BUY!BUY!BUY!
Me running various models that outperform gpt or bard just fine on a 4080: 👌👍
That’s great. Now try training that model on a 4080 and you’ll see it’ll take significantly longer. Try amassing the data needed for training on your home PC and see how much longer beyond that which you’ll need. There’s a reason the current race is down to just a few companies, it costs pennies to run queries on an existing model, millions to build and train that model in the first place.
