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basafish OP t1_j1ph1f6 wrote

Some of the recent examples of AI look so impressive that people forget they are just toys and ideas, not actually real-world implementation.

https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html

This article shows how stalled AI/ML actually is outside of the fields of auto driving and news feed sorting.

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Surur t1_j1pmzfp wrote

That's probably because as soon as it becomes practical its suddenly no longer AI. Look at the very wide and successful implementation of things like voice recognition, photo and video manipulation filters, machine translation and more.

When image generation ends up in Adobe it will be immediately forgotten as an AI landmark and just be used by professionals to improve their productivity.

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StreetBookRandoNumbr t1_j1tnsxn wrote

Those are machine learning algorithms, not true AI

Edit: They are computers that can do the math faster than humans ever could, but just math.

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Surur t1_j1tupdi wrote

If you keep on saying that, there will soon be very little left that defines humans.

According to you its not our ability to calculate, and not our ability to recognize patterns, and not our ability to be creative.

What is left?

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StreetBookRandoNumbr t1_j1tv1ur wrote

Not according to me. Do not put words in my mouth (text)

Ai does not mean being able to match human capabilities. Machine learning does exceed that. It means being able to make decisions and learn on its own. Currently, machine learning learns by us telling it what to learn, so not AI

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Surur t1_j1tvdkz wrote

> It means being able to make decisions and learn on its own

That is a pretty low hurdle to cross. I think you need to set the bar a bit higher.

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StreetBookRandoNumbr t1_j1tvx1l wrote

No I don’t. It’s called the Turing Test.

https://bigthink.com/the-future/turing-test-imitation-game/

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Surur t1_j1twub4 wrote

Most people think the Turning test is not a good enough test these days, as it's too easy for computers to pass just by faking it.

What differentially AI from humans at this point is that, while AI may be good at individual elements of intelligence, humans are the only ones where these are all integrated - the difference between narrow and general intelligence.

Humans are the only GI at the minute, and the goal of some AI research is Artificial General Intelligence. Some people think we are less than 10 years from that.

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kallikalev t1_j1pkid7 wrote

And the fact that they’re just toys now means they’ll never be put into use? The newest big stuff like image generation is less than a year old, things take time. Just recently generative art was nothing but a pipe dream, then all the outputs were messes of scribbles that vaguely resembled the prompts, and now they’re mind-blowing. Give it a few more years of refinement and business interests, and you’re going to see image generators and chatbots commonplace.

As a first example of widespread deployment, popular graphic design tool Canva has added a text-to-image tab on its website directly in the editor, allowing people to create stock photos, logos, backgrounds, etc on the fly. And on the “toy” side of things, Midjourney launched about six months ago and already has millions of users paying $10-$30 every month for image generation. Most are using it as a toy but some are making album or book covers, character art for roleplaying games, sketches and inspiration for their own drawings, etc. Just because something is a toy doesn’t mean it won’t have any impact.

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[deleted] t1_j1pm8xu wrote

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Practical-Mix-4332 t1_j1qtxz1 wrote

Blockchain is an interesting technology but who knows if/when a mainstream use case will be discovered. Uses for AI are everywhere on the other hand.

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Cascascap t1_j1prz6b wrote

Machine learning is very much in use nowadays. Companies use it for data analysis, for example Amazon has an anti fraud mechanism that recognizes fraudulent transactions using ML.

This is just of many examples.

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Lord_Nivloc t1_j1rfbga wrote

Lmao, lot of toys out there for sure, but have you seen our social media algorithms? Have you seen AlphaFold and the Rosetta team’s adaptation of it?

Protein folding is very near and dear to my heart, molecular biology will change medicine and the world forever. And neural networks will speed up progress 20x

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StreetBookRandoNumbr t1_j1to115 wrote

Exactly, algorithms, not AI. Just fancy math computers.

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Lord_Nivloc t1_j1v35z1 wrote

Uh….yes? Neural networks and machine learning are just fancy algorithms, not AGI

But these fancy algorithms are better than us at many tasks.

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