Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario

Post by bigstrat2003 » Mon, Jul 06, 2026, 7:15 PM UTC

openquery wrote: post #39

grey-area wrote: post #9

Earlier quoted context omitted.

> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. I think we know the answer to that already - LLMs show no sign of improving intelligence and instead providers are going down the ‘agentic’ rabbit hole. There are too many things missing, like a world model, understanding, and taste (in the sense of knowing what is good and what is not good…

> LLMs show no sign of improving intelligence and instead providers are going down the ‘agentic’ rabbit hole. I'm not sure where you're getting this. I don't work at Anthropic but Fable (Mythos) seems demonstrably smarter than Opus for pretty much any definition of smarter and they claim that Opus was used heavily in Mythos development (yeah I know take this with a massive pinch of salt). Either way if the models are…

Post by lifestyleguru » Mon, Jul 06, 2026, 7:15 PM UTC

profsummergig wrote: post #41

josefritzishere wrote: post #14

After watching the AI roll out for a couple years now I'm much more confident that it's just a scam. There is no net positive ROI on AI. It's not good enough, and the "mass job destruction" scenario offsets any marginal gains by eliminating the market for basically all products. That doesn't mean that mediocre C-suites won't try but it only takes 1-2 quarters to feel the burn and back track.

I recently tried to get customer service. I think it was from the DMV for my state. The website asked me to use the AI bot first. Completely useless. It took a phone call with a human to somewhat resolve the issue.

Post by openquery » Mon, Jul 06, 2026, 7:15 PM UTC

taurath wrote: post #59

openquery wrote: post #3

This is all noise. The leaders of these companies are flip-flopping to whatever sounds best for their current agenda - hiring, fundraising, pre-IPO, etc. The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient noise.

> LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential The cost is already outrunning the benefit to a massive amount, and the predicted expotential is not here yet. I predict it'll always be around the corner, a $1T model won't get there, but it will "look promising", but we'll sadly run out of money for the $10T or $100T model..

Post by Macha » Mon, Jul 06, 2026, 7:15 PM UTC

Post by taurath » Mon, Jul 06, 2026, 7:18 PM UTC

kristiandupont wrote: post #67

taurath wrote: post #52

Earlier quoted context omitted.

I know within a second whether the search result I am looking at is obvious AI slop (search for almost any health condition, recipe, esoteric questions etc almost always have slop at the top of the result), but LLMs regularly source those sites as the basis for conclusions.

>I know within a second I am sorry to be pedantic, but the correct phrasing would be "I think I know within a second", which seems like a pretty important distinction.