While we are still on the topic of AI generated content, why is it that many so-called content writing companies claim they don't want AI generated content but AI companies love to claim their AI's can create quality content on par or better than a human? You'll often find both sides to love to make such claims. I find this to be really funny lol.
The economics is a fair reason but my point was regarding the originality or lack of passion or human touch as many of them would call it.
I am using it everyday, in fact its one of our core products for an org I am working for, and guess what? unless there's a major breakthrough in AI research, none of us are going anywhere, for the idiotic C-Suites who are firing employees, I can guarantee you, they'll end up either hiring them all back or doing a massive hiring drive to fill up these positions,People will continue to keep mocking, undermining and underestimating all these tools until the smoke and mirrors ends up revealing a train hurtling towards them at full speed, only people who think it won't make a difference are people who aren't using these tools on a day to day basis already.
Saw this just yesterdayI am using it everyday, in fact its one of our core products for an org I am working for, and guess what? unless there's a major breakthrough in AI research, none of us are going anywhere, for the idiotic C-Suites who are firing employees, I can guarantee you, they'll end up either hiring them all back or doing a massive hiring drive to fill up these positions,
interesting pov.Even putting aside the accuracy of LLMs, none of us ever consider just how expensive and resource heavy running these models at scale are, you should read up on that but essentially, all companies are bleeding money trying to cater to the AI demand and subsidizing costs to increase market share.
people are fear mongering way too much about AI, costs are a real concern, and even putting that aside, sustainability is, just look at some reports for carbon footprint of Datacenters hosting AI models, you will be appalled at what kind of footprint they haveCourse I've been having a running battle with @psyph3r saying what you have since this thread began
And there you go quoting some insightful guy from the first pageAt max, its gonna be like when Excel was first introduced, were low level muneems in most firms impacted? yes. but were the jobs impacted on a large scale? no, you simply became more efficient in accounting, its gonna be just like that.
I actually remember this comment was made because of its impactJust like accountants started using calculators instead of calculators replacing them, no.
It is a tool, which will be utilized in the workflow.
(imo)
Yeah, since finding those mistakes takes some real skill.Any senior engineer worth their salt will agree with me, AI is good for boiler plate but if you leave it alone, it will cost you way more to fix stuff than it would, actually hiring engineers in the first place.
honestly didnt know about this lol, this was the first one that came to my mind, talked to a few folks at work, and basically this is the example we ended up onAnd there you go quoting some insightful guy from the first page
Dated Dec 15 2022
not really, its not about finding those, its more about technical debt, think of it like the foundation of your building, you make it shaky the whole thing collapses, AI is like that, aside from very obvious mistakes (like you suggested), most of them are not noticeable at first glance, because tests pass, script compiles and what not, but when you actually go about using it, or modifying it then the problems rear up. Junior engineers would just slap whatever slop AI gives them and then slap even more shit just on top to make it work, and in the end it just becomes like a Jenga tower of shit, and the cheapest solution is to just scrap everything and rewrite it from scratch, and this is whats gonna happen, I can guarantee that,Yeah, since finding those mistakes takes some real skill.
I think this would be good for interviews.
Say what is wrong with a,b,c
those mistakes will get harder to spot as it gets better.not really, its not about finding those, its more about technical debt, think of it like the foundation of your building, you make it shaky the whole thing collapses, AI is like that, aside from very obvious mistakes (like you suggested), most of them are noticeable at first glance, because tests pass, script compiles and what not,
Yeah, modifying or extending stuff. Then bug finding. I've gone an entire week with nothing to show doing that. And this has happened several times. You feel like a right retard until people tell you that it's normal.but when you actually go about using it, or modifying it then the problems rear up. Junior engineers would just slap whatever slop AI gives them and then slap even more shit just on top to make it work, and in the end it just becomes like a Jenga tower of shit, and the cheapest solution is to just scrap everything and rewrite it from scratch, and this is whats gonna happen, I can guarantee that,
Saw this just yesterday
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IBM Fires 8,000 Employees to Replace Them With AI — Only to Rehire Just as Many Because Of…
IBM shook the tech world by laying off thousands to make way for AI automation. But what happened next caught everyone off guard. The company’s workforce took an unexpected turn that is changing the future of work.indiandefencereview.com
This is an uncorroborated whatsapp forward carried by blogs without being verified, no major outlet has reported on this.
2025 isn't even half done yetIBM: Number of Employees 2010-2025 | IBM
Interactive chart of IBM (IBM) annual worldwide employee count from 2010 to 2025. <ul style='margin-top:10px;'> <li>IBM total number of employees in 2024 was <strong>293,400</strong>, a <strong>3.9% decline</strong> from 2023.</li> <li>IBM total number of employees in 2023 was...www.macrotrends.net