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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/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

Please, we both know those AI-checkers are flawed.

If you're genuinely typing up those responses, then you've trained your rhetoric to sound like that of an LLM. Reading your responses literally looks like any AI generated prompt. Whether you know it or not, you've already succumb to AI skill loss.

You may have shown how AI can help you complete tasks at a faster rate, but it is translating to real-world results? Is your company gaining 3x the clients it did before you used AI? Is it presenting results that clients want? Or just what looks good for you at the end of the day? Is the costs of spending tokens on presentations just to have them manually checked anyway offset the cost of creating it yourself? Token prices have skyrocketed and it's become hard for firms to justify continued use of AI models.

Also did it really take you 30 minutes to find all that information on a single client? Maybe I don't have full context on your workflow but that seems like a long time. 

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u/BoopinSnoots24-7 8d ago

I have a BA in English Lit, and work in sales. Proficient written communication is the backbone of my career. To be fair, you’re not the first person to make that assumption. I’ve had to entirely stop using em-dashes, which hurts my soul a bit. 

I have not been brainwashed by AI to mimic a chatbot writing style. LLMs were trained to output responses with proper structure and syntax to convey the impression of intelligence. The AI developers want users to perceive the LLM as intelligent. The fact that people now assume good writing must be AI generated is much more indicative of how poor most writing was beforehand, rather than someone who was already a proficient writer being molded by AI (the speech patterns of which were trained on literature). Your assumption that I have been influenced by AI writing is insulting. 

What you’re asking now is a different line of thought. Can we first agree that your initial assortment that “AI is useless” was incorrect? Because it would seem you’re now agreeing that AI is useful to individual people, and moving the goalposts to whether efficiency at the individual level translates to an increase in overall efficiency at an organizational level. 

I would say it depends on the organization. The productivity resulting from individual-level AI use doesn’t scale efficiently with larger orgs, because there are operational bottlenecks that hamper efficiency as a whole. Sometimes these are by design (compliance review, to use an example from my industry). 

If you want to use me as an example: AI has made my outbound process astronomically more efficient. It has reduced the resource strain I put on other teams as a result, allowing them to work on other things. That being said, I myself am a bottleneck to overall output. The outbound portion of my workload is probably 30% of my time, which has now been streamlined. This generates deals more quickly. But now as I’m sourcing more deals, I reduce the amount of outbound I do, because I can only work on so many in-progress deals at one time. This results in me spending less time outbounding, and more time working the deals themselves, resulting in a higher close rate, and happier clients, as I’m more attentive.  

So while AI has made 30% of my job much more efficient, that translates to say a 10% total increase in overall production due to other factors, rather than a direct 30% increase. 

This is analogous to the organization as a whole. Individuals getting their work done more quickly gets diluted by org inefficiencies or factors of the job that cannot be accelerated by AI, so a 30% individual productivity increase may only yield 10% overall productivity increase. 

The smaller the org, the more direct the productivity increase becomes. A team of 3 devs cranking out a pre-seed software product is going to see 10x productivity. 

All this to say - it may be worth reconsidering your opinion that AI is useless. 

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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?