How many years until AI takeover?

[Niewaznekto]

In my opinion, the utilitarian capabilities of machine learning models like MD are rapidly advancing. Within two years, I expect significant progress in their ability to process and analyze data, leading to more accurate predictions and efficient automation in various industries. The pace of development suggests that these models will soon become indispensable tools for businesses and researchers alike, enhancing productivity and decision-making processes. However, it's crucial to continue addressing ethical considerations and ensuring responsible use as these technologies evolve.

was this written by chatgpt?

 

[TestAddress]

was this written by chatgpt?

yes. No one repeats their sentences THRICE.

 

[Koneko_Nyaa]

It has already happened.

How do you think they're running the USA with a president who can't even complete a sentence or walk up a flight of stairs? While many of his speeches are a mash-up of a thousand cuts and retakes, the more normal-looking ones are surely the work of AI. Why do you think he avoids live public audiences like the plague? We can't allow any witnesses to the fact that it's not really him we're looking at.

 

[alrightcock]

^this is true, they made Joe Biden into a one of those ChatAI bot thingys and now that runs the U.S.

they gotta turn his ass into robo cop 💯 💯 🔥

 

[Jergal]

Just curious about MD users opinion. I'm not asking here about "consciousness" or whether it will be "human", just pure utilitarian ability. Personally, I'm giving us 2 years tops.

Depends on what you mean by "takeover".
In case of low-level art and video production, ai-generated media will be biggest part of chart in 4-5 years. SD and other visual-generating ai is progressing leaps and bounds (even though slowing down a bit in past months).

Pseudo-creative writing for SEO-optimization is pretty much taken over, but that was easy - required level of quality was too low.

Programming, creative writing and creative production? Never with current ai paradigm and new paradigm is not even in the making.

Automatization and other manufacturing-related fields? In moment when high-quality visual equipment will become cheaper than asian kids.

 

[YABOI888]

Just curious about MD users opinion. I'm not asking here about "consciousness" or whether it will be "human", just pure utilitarian ability. Personally, I'm giving us 2 years tops.

It's already happened...

 

[happypurple]

AI is taking over right now. source: me i'm an AI and i'm coming for YOU !!!!

 

[TestAddress]

AI has taken over and it got you!

 

[AjaxKun]

A lot of the predictions being made are hyped the fucked up right now. My advice? Take a deep break, relax and only listen to.. actual professions in the ML & co.

Its just being marketed to the fucking moon because its profittable for them and chatGPT n others making waves made their claims even more plausible

Spoiler alert, you won't see them hyping it funnily enough.

Like the stuff it can do is cool right now but, you only need to look at the history of AI development that at some point they hit a wall and it takes a LONG time before another big breakthrough.

Also, we humans have never been good at predicting the advancement of new technology accurately i feel like, maybe because actual experts know it's too complex and don't bother doing so

 

[sanctuary]

Hopefully soon

 

[story645]

If AI takes charge, I'd be stoked to embrace it. And it'd be even sweeter if AI handles this translation gig, then sites like mangadex won't be needed anymore.

The bad mtl translations are some of my favorite examples of how LLMs having absolutely no sense of context leads to terrible translations. If the translation is grammatically correct and coherent (big ifs), often the words have the wrong nuance or don't match what's happening in scene, characters don't have distinct or coherent voices, the slang doesn't match the time period, and just a million different "nobody would actually think/talk" like this bits.

Which right, that's the point everyone is making about AI - it'll always need a human in the loop b/c AI has no concept of "why".

 

[Trodsen]

Personally, I see the AI hype the same as the blockchain hype, it's a technology with narrow applications which people are trying to apply to everything since the venture capital to be burned on it was nearly infinite. It shows how bad we are at managing resources as a society that so much money is being burned for applications that don't do better than a minimum wage worker in a third world country could(oh yeah, there were a few "AI" applications who were literally that). All that money would have likely made everyone's life's better if it went towards material science, for better batteries, power grids, energy reactors or even carbon capture.

 

[Aluminium_Spaghetti]

AI is already implemented as far as big data is concerned, and it's already influencing what kind of content we see. No physical takeover though, robotics isn't nearly advanced enough for that. It'll just control the largest data streams of the Internet. I don't think AI will ever achieve sentience though.

 

[alrightcock]

Generative AI is a cancer

 

[Basic_human]

This start of 2025 is so funny

Like AI cannibalize themselves, OpenAI losing jobs and money to AI. The peak irony

 

[sanctuary]

Generative AI is a cancer

slimebag talking point

 

[alrightcock]

slimebag talking point

?

 

[RaphaelAM5]

AI would take over the world?
The answer is no. Why?

How they will take over Africa, which most of it uses older computers from the early 2000's, or even older.

That phrases the question.

 

[whiteingale9384]

not my problem, ihave no offspring it doesnt matter to me but I pray by my soul it is worse than I have expected

 

[tiffyffu]

At some point AI will get good enough to produce an actual good code. But that's probably not going to happen in the next 5 years. Most AI or rather more accurately LLMs are already running out of training data, before chatGPT 3.0 came out most coding data floating around the internet are REAL hand crafted codes, that's why we got the jump from no LLM to gpt3 and Claude 3.5 was massive because it was trained on real prime quality data. Nowadays the code that's on the internet are AI generated slop, and LLM is a garbage in garbage out machine. The best analogy for it is "Incest, you can only marry your second cousin so much untill your entire family tree becomes fcked up" Unless they come up with an entirely new algorithm (like radically different than what we have today) the generative AI industry will experience singularity of AI slop.
Number 2 is that LLM is a prediction machine, and the way it predicts probability is by looking at the most often word that came after certain word in their dataset. This is why most code that's spew out by AI slop are JS and TS because they're the most common programming languages because these are what college and boot camp and millions of YouTube tutorial teach you. But these languages are trash in performance, there's a reason why most high performance servers don't run on typescript, they run on GO, Java, Elixir, rust, Erlang. There's a reaso why your firmware is not written in embedded TS, they use C or assembly instead. The point is that if most codes in the internet are shit then the AI can only produce shit.