Tech Industry job layoffs looking scary

bnew

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@null @bnew



But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don’t learn from or adapt to workflows, Challapally explained.

:francis:
 

tgu

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How is it not vetted?
Are you referring to AI?

The stock price, and financial figures say otherwise.
While the stock price can go up, the stock market isn’t driven solely by fundamentals. So a lot of that is just market psychology at play. That doesn’t mean the technology, AI, can do everything they say it can. AI is good at a lot of things, but it’s not necessarily a plug and play solutions that works for everything. A lot of businesses are referring to AI as if it’s already AGI which theoretically could do any and everything. To be fair to businesses, that’s how the AI companies are selling it
 

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But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don’t learn from or adapt to workflows, Challapally explained.

:francis:
So humans
 

Blessings

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While the stock price can go up, the stock market isn’t driven solely by fundamentals. So a lot of that is just market psychology at play. That doesn’t mean the technology, AI, can do everything they say it can. AI is good at a lot of things, but it’s not necessarily a plug and play solutions that works for everything. A lot of businesses are referring to AI as if it’s already AGI which theoretically could do any and everything. To be fair to businesses, that’s how the AI companies are selling it
That’s how all businesses are selling it publicly. Everyone knows it’s a work-in-progress.
Internally, the decision makers know AI is not necessarily a plug and play solution that works for everything.

I’m just confused, everyone is doing what they’re supposed to do for the best interest of the business.
 

Apollo Creed

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Six months is nothing in this job market. Most of my colleagues who got laid off at my tech company last year are still looking about 10 months in.

3 months used to be the norm outside of the bubble when jobs were being spammed, but I've seen folks say they been looking 14 months and shyt
 

tgu

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That’s how all businesses are selling it publicly. Everyone knows it’s a work-in-progress.
Internally, the decision makers know AI is not necessarily a plug and play solution that works for everything.

I’m just confused, everyone is doing what they’re supposed to do for the best interest of the business.
I think the original comment was referring to companies making ludicrous statements like “we will reduce headcount by 80% due to ai”. While some businesses may be making those statements for the sole purpose of affecting the stock prices, I do think there are decision makers who do believe that and will make internal directives to hit that. For most cases, what they’re saying won’t be possible
 

JT-Money

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Apollo Creed

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Everyone will pay once the Mag 7 hype dies and causes the stock market to crash. It's the only thing propping the market up right now with consumer spending in the toilet.
.yeah nobody buying shyt and company value plummet lol but I more so mean the companies stuck with the bill from all the capex spend on Ai
 

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The hype train is losing steam. They better think of a new grift and fast.
:mjlol:
Zuckerberg already building his bunkers in broad daylight:




 
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