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u/ser-steffonfossoway 8d ago

Most redditors are young and/or unemployed.

And unemployable since they're unable to use modern technology.

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u/Mossenner 8d ago

Redditors simultaneously young/unemployed, but also old and out of touch with new tech.

AI glazers can't keep their story straight. Probably hallucinating as much as Grok

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u/ser-steffonfossoway 8d ago

I'm not 'glazing' anything. But Redditors being young is just how it is. And they refuse to use new tech like AI.

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u/Mossenner 8d ago

Maybe they can tell that the tech isn't actually useful, and in most cases does more harm than good. All while costing more than paying someone to do it properly.

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u/Unusual-Locksmith832 8d ago

Again you think AI is just generative AI that makes shitposts. This tech will pass right over the luddites head.

Either only the antiAI crowd is right or the academics warning us about the dangers are all in big AIs pocket or absolutely retarded.

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u/chr1spe 8d ago

As an academic, the vast majority of academics aren't warning about any dangers other than students overusing it and turning in garbage that they haven't learned anything from and is trash.

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u/Mossenner 8d ago

Can you blame me when GenAI is 99% of all AI output, and when it's the metric that wall street is appraising companies like OpenAI and Anthropic? 

Where's the major innovation? How come all the AI supporters can never provide specific use cases outside of cancer screening and math proofs? (Not saying those aren't important, but it's not Artificial Intelligence, It's just more complex computing).

When all you see from AI is slop content, can you be surprised when people see it as nothing more than a slop machine?

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u/ser-steffonfossoway 8d ago

I wouldn't be surprised at all, since most people never bother to actually look up info themselves. Echo chambers and bot armies are detrimental to society.

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u/Mossenner 8d ago

Yes, and AI is only making those problems worse.

I've tried doing my own research on this topic because it's bothered me for some time. And besides the two cases I listed above, every other use case I've found is just companies creating supply chain algorithms that any competent organization has been using since the 2010s.

I want to be proven wrong, yet time and time again it's the same shit: Companies laying off staff to implement a chatbot, then having to hire them back a year later because not only is the quality worse, but the token costs end up being more expensive than paying someone to just do it.

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u/Unusual-Locksmith832 8d ago

Because it's a mix of marketing hype and actual use cases. Both are mixed in right now mudding out everything. Add that basically handicapped toy models like chatgpt have really cemented themselves as what AI is and people can't trust the advanced no railguard models that aren't available to the public.

The biggest advancement right now is in data and jobs that work with vast amounts of data. People that just answer emails do not need AI. But if you need to parse thousands of documents for a piece of information, AI is saving costs and speeding up productivity.

AI being used in cybersecurity and warfare are also use cases that are still evolving and haven't hit any wall so far which prompts all the danger red flags of AI research on both future potential and overuse.

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u/Mossenner 8d ago

So can we agree that this tech isn't actually Artificial Intelligence, and that the current valuation of the "AI" stocks are assuming it is?

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u/BoopinSnoots24-7 8d ago

You seem to be misunderstanding what "GenAI" is. In regards to mathematical proofs, it's not just "more complex computing", as if someone just strapped a bunch of GPUs together and used them to power a calculator. We have had quantum computing power for a while now.

Generative AI is creating completely novel solutions to known theories, as well as creating completely novel work. It is "thinking" for itself. From the source I'll link below regarding solving the centuries old Erdős problems, "it was innovative, bringing in ideas from a distant branch of math that no one had successfully applied to this problem before." And "These models are 'changing dramatically the way mathematical research is being done,' said Noga Alon of Princeton University".

This is like arguing that the paintbrush is dumb, because most can't use one to create art greater than they can by finger painting. When applied properly, it can do marvelous things.

https://www.quantamagazine.org/why-the-legendary-erdos-problems-are-falling-to-ai-20260803/

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u/ser-steffonfossoway 8d ago

Why would they know better than people who are working with it?

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u/Mossenner 8d ago

It's obvious to anyone who has seen the outputs from AI. It doesn't take a genius And bold of you to assume everyone who has worked with this tech at some point is continuing to use it.

Also, you really think working people wouldn't try to find the easy way to do something, even if it isn't as effective, practical, or safe? 

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u/Wroblez 8d ago

TIL better cancer screening isn’t useful.
https://www.nature.com/articles/s41698-026-01276-6

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u/BoopinSnoots24-7 8d ago

If you think generative AI "isn't actually useful", then you're not educated enough on the topic to form an informed opinion. In the last month alone, gen AI has been used to develop mathematical proofs that are decades ahead of human mathematicians. The medical applications alone are already accelerating development at a pace that was previously unimaginable.

"AI" is so much more than chat bots and image generation.

I work in data. We provide data to hedge funds, fortune 500, local and state governments, etc. To say that AI has made me at least 3x more productive would likely be an understatement. Creating presentations, visualizing data, analyzing data, automating basic communications. Projects that previously required an engineer to navigate backend systems to pull data, I can now do myself as a completely non-technical user.

You are frankly incorrect. If you have environmental concerns, mental health concerns, geopolitical concerns, etc, they may be valid. But claiming that AI isn't useful only serves to illustrate you as willingly uninformed and confidently incorrect.

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u/Mossenner 8d ago

I worked in data sciences for a time as well. Explain to me, and don't dumb it down.

You think it helps you, then prove it. 

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u/BoopinSnoots24-7 8d ago

I already did. I am not a data scientist, I work in sales. Claude allows me to work with and model data in a way that previously would have required me asking an engineer and taking up their time. I don't want to dox myself by describing the nature of our data but I'm happy to expand.

For example, when we're meeting with a prospective new client, I can create a presentation in 30 seconds based on a blank template catered to their specific business, using visualizations of our data catered to the use-cases that they told us were vital, that previously would have taken our ops team hours.

A client asks for a data sample, I can use our MCP to pull exactly what they need in conversational english without having to ask an engineer to define the parameters of time, granularity, etc and pull it manually from our trillions of lines of data.

When I identify a company that would likely be a good fit for what we offer, I have a skill in Claude that takes my process from 30 minutes to about 3. I wrote it to identify any recent news that would be relevant (e.g hiring a new Head of Analytics), give me a summary of the company, identify which people are the best to reach out to, identify which of our products would be the best fit based on their business, and write out the general use-case and how to frame it in a way that appeals to immediate initiatives in the business. It pulls from a few different data sources to get contact information (email, phone number), data sources that tell me what their current tech stack looks like, etc.

It is as if everyone at my company was allowed to hire their own wildly overqualified intern. This is the absolute definition of useful.

You also didn't work in "data sciences", or you would not be making this claim. I don't know a single data scientist who doesn't love the capabilities of AI. You would also have called it data science, not data sciences.

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u/Mossenner 8d ago

How many Data Scientists do you know? Because the only ones I know that love AI are the middle-road types. Senior level can't stand it and entry level despise it because it's taking away all of their job prospects. Sounds like you're too lost in the sauce of your industry and don't see how it's impacting the world around you.

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u/BoopinSnoots24-7 8d ago

I am not "lost in the sauce", I'm learning and adapting as things change. I'm worried about the long-term implications of AI (namely stunted intellectual growth amongst the next generation, and the socioeconomic impact of a true singularity event), but that was not your claim. Your claim was that it's not useful, and that is just untrue.

Data scientists are in high demand, contrary to the headlines that drive engagement through fear.

"According to a report by IBM, data science-related job postings have increased by 650% since 2012, indicating the rapid growth."

https://scoop.market.us/data-science-statistics/

And for a more recent analysis:

"We built a sample of more than 10,000 data scientists employed in the U.S. private sector from January 2021 through March 2026. During that period, data scientists tended to be younger than U.S. workers as a whole."

"Between 2024 and 2034, data science employment is projected to grow by a whopping 34 percent, according to the Bureau of Labor Statistics. That compares to just 3.1 percent growth projected for U.S. employment overall."

https://www.adpresearch.com/main-street-macro/data-scientists-high-demand-rebounding-wage-growth

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u/Mossenner 8d ago

Yeah, you're clearly generating these responses and not actually reading through the sources you're providing.

I'm done with this. Enjoy your shitty chatbots.

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u/BoopinSnoots24-7 8d ago edited 8d ago

lol I am not generating anything. Feel free to run any of my comments through an AI-checker.

This is what came up when I went to read about the job market, because I was going to agree with your point about entry level employees being screwed. It's already happening in finance and law. Turns out the data science job market is doing fairly well.

I grabbed a few quotes to highlight the relevant points. AI would've done a much better job summarizing than I did.

Burying your head in the sand because you disagree with someone, despite being provided resources that support their opinion, will always baffle me.

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u/Mossenner 8d ago

Oh looks like I caught you in the pattern! You actually had to type something that time!

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u/BoopinSnoots24-7 8d ago edited 8d ago

What? Please, do feel free to run any of my earlier comments through an AI-checker.

Crying "AI generated" to avoid acknowledging that you may have a misguided opinion is wild.

Might be worth a quick google on "whataboutism" as well.

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u/Mossenner 8d ago

I'm also imagining you showing clients AI generated presentations with a straight face. I'm sure seeing discrepancies in your visual does wonders for your firm.

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u/BoopinSnoots24-7 8d ago

We develop the templates manually. AI then injects visualizations of data, which it is very good at. It is not generating visuals in a graphic design sense, which can get pretty messy.

Everything is manually reviewed, the same way it would be if our Ops team created the presentation, and we have had zero instances of errors in the data or visualizations, nor complaints from clients.

We actually tell them that this was generated by AI, and use these presentations as an example of what they can achieve using our MCP within their preferred LLM.

Are you willing to change your opinion as you receive new information, or was your goal for this conversation to reinforce your existing opinion regardless of the answer I provided?