Sam Altman warns AI could wipe out entire job categories, customer support roles most at risk

[The Ghump]

"It can do everything that any customer support agent at that company could do. It does not make mistakes. It's very quick. You call once, the thing just happens. It's done."

Yeah.... ok.... that's a sales pitch. That has nothing to do with predictions and warnings. He is talking directly to the manager who think he can save on staff there.

 

[BogdanR]

"It does not make mistakes. It's very quick"
Indeed. The pain will only last a second when it will kill us.
Because, as Mr. Smith said “ Human beings are a disease, a cancer of this planet. You are a plague, and we are the cure.”

 

[Nintenboy01]

I use LLMs and AI every day, a lot. They are a great tool and I can do things that I could not do with out them. HOWEVER, they are super error prone. I don't use it to think for me. I use it as a tool to make me more productive, but I have to ALWAYS double check what it is outputting. I have just learned to manage its failure points while maximizing its value. I use the most advanced models (even o3-pro), they are amazing at times and utterly crap others. THEY ARE NOT DEPENDABLE! That is the core issue! I think LLMs are great, but lets be realistic, they need constant human review and tweaking to be useful.

These CEOs claiming they can replace people don't actually use their own products every day. If they did, they would now this marketing is bull. Actually, they absolutely know it is BS. However, realism does not get VC money $$$. So, more BS and scifi predictions are coming to prop up the illusions of AI. The end will come, and let's hope it does not end like the dot com bubble.

it's especially bad when it just ends up feeding on its own regurgitated output

 

[Porkous]

AI is interesting because it’s smart—and it can learn to become even smarter. It can duplicate itself, creating millions of instances to provide intelligent answers.

What I think corporations are doing wrong is spending too much, too soon. Where’s the rush, especially when the hardware is insanely expensive and quickly becomes outdated? New hardware can be ten times more powerful and far more energy-efficient.

How they justify investing billions in something so risky is beyond me.

It’s true—AI can excel where humans often fail. After a certain age, many people stop learning or developing new skills. Most just want a big TV and a streaming catalog full of binge-worthy content.